{
  "data": {
    "a": {
      "slug": "bing-grounding",
      "name": "Grounding with Bing Search",
      "vendor": "Microsoft",
      "vendorUrl": "https://www.microsoft.com/bing/apis",
      "kind": "http-api",
      "category": "search",
      "summary": "Grounding with Bing Search is Microsoft's web search tool for agents in Foundry Agent Service. A Foundry model searches Bing during a Responses API run and returns an answer with URL citations, through the bing_grounding and web_search tools.",
      "url": "https://www.anchorterminal.com/tools/bing-grounding",
      "markdownUrl": "https://www.anchorterminal.com/tools/bing-grounding.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/bing-grounding.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/bing-grounding.json",
      "dns": "bing-grounding.grade.anchorterminal.com",
      "license": "Proprietary service under the customer's Microsoft agreement and the separate Grounding with Bing terms of use, which exclude it from the Microsoft Data Protection Addendum",
      "transports": [
        "streamable-http"
      ],
      "remoteUrl": "https://{account}.services.ai.azure.com/api/projects/{project}/openai/v1/responses",
      "packages": [
        {
          "registry": "pypi",
          "name": "azure-ai-projects"
        },
        {
          "registry": "npm",
          "name": "@azure/ai-projects"
        }
      ],
      "auth": "oauth",
      "authNotes": "Microsoft Entra ID bearer token for the Foundry project (scope https://ai.azure.com/.default, for example through DefaultAzureCredential), with the Foundry User role to create and run agents. The bing_grounding tool also needs a Grounding with Bing resource whose key is stored in a project connection, created by someone with Contributor and Foundry Project Manager. The agent never holds the Bing key. The web_search tool needs no Bing resource or connection.",
      "pricing": "usage",
      "pricingNotes": "$14 per 1,000 transactions for Grounding with Bing Search and for Grounding with Bing Custom Search, counted as tool calls per run, plus the model deployment's token charges. No free tier found. An Azure subscription and a person's signup are needed first.",
      "priceSummary": "$14 / 1k req",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on the Foundry web search and Bing tools pages, the Grounding with Bing pricing page or the terms of use (checked 2026-11-06). Billing runs through the Azure subscription.",
        "endpoints": []
      },
      "toolCount": 3,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/web-search",
      "capabilities": [
        "web.search",
        "search.answer"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "closed-source",
        "enterprise",
        "card-required",
        "status-page",
        "python",
        "typescript"
      ],
      "lastRelease": "2026-11-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.7,
        "grade": "B",
        "agentReady": false,
        "rank": 502,
        "ranked": true,
        "rankOf": 1486,
        "categoryRank": 15,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 61,
          "maintenance": 80,
          "payments": 20,
          "reliability": 68,
          "schema": 68,
          "security": 79,
          "transparency": 66
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": 0,
        "verdict": "First-party Bing grounding inside Foundry Agent Service, called with Entra ID so the agent never holds a search key, at a published $14 per 1,000 transactions. The tools return a model's answer with citations, never the raw results, and data sent to them falls outside Microsoft's Data Protection Addendum and Azure's compliance boundary.",
        "bestFor": "Teams already building on Foundry Agent Service who want cited answers from Bing without handling a search key.",
        "strengths": [
          "Callers authenticate with Microsoft Entra ID and Foundry RBAC roles, and the Bing resource key stays in a project connection",
          "Price and limits published without a login, $14 per 1,000 transactions, 150 a second and 1 million a day",
          "Count, freshness, market and language parameters, and a Custom Search variant that limits grounding to chosen domains",
          "Docs say to treat web search results as untrusted input, and admins can turn web search off for a whole subscription"
        ],
        "weaknesses": [
          "The Bing tools never return raw results to developers, only a model-written answer with citation links",
          "The Data Protection Addendum does not apply and query data leaves the Azure compliance and geographic boundary",
          "No free tier, and a first call needs an Azure subscription, a Foundry project, a model deployment and, for bing_grounding, a paid Bing resource",
          "Terms forbid using Bing output to train or evaluate AI models and limit storing or caching it"
        ],
        "agentNotes": [
          "Use the citations in the response annotations as the sources; the tool output itself is not returned, and the terms require showing the URLs and the Bing query link",
          "Expect each run to bill one transaction per tool call at $14 per 1,000, plus model tokens, and set count and freshness in the tool configuration",
          "Treat cited page text as untrusted input and don't put secrets or personal data in prompts, since queries leave the Azure compliance boundary",
          "On 429 back off exponentially; no Retry-After header is documented for the tool"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.7
          }
        ],
        "editorialScores": {
          "ergonomics": 61,
          "maintenance": 80,
          "payments": 20,
          "reliability": 68,
          "schema": 68,
          "security": 79,
          "transparency": 45
        },
        "provenanceScore": 87,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-06",
            "maintenance": "2026-11-06",
            "payments": "2026-11-06",
            "reliability": "2026-11-06",
            "schema": "2026-11-06",
            "security": "2026-11-06",
            "transparency": "2026-11-06"
          },
          "last": "2026-11-06",
          "oldest": "2026-11-06",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install azure-ai-projects azure-identity",
        "http": "curl -X POST \"$FOUNDRY_PROJECT_ENDPOINT/openai/v1/responses\" \\\n  -H \"Authorization: Bearer $AGENT_TOKEN\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"'$FOUNDRY_MODEL_DEPLOYMENT_NAME'\",\"input\":\"How does Wikipedia explain Euler identity?\",\"tool_choice\":\"required\",\"tools\":[{\"type\":\"bing_grounding\",\"bing_grounding\":{\"search_configurations\":[{\"project_connection_id\":\"'$BING_PROJECT_CONNECTION_ID'\",\"count\":7,\"market\":\"en-US\",\"set_lang\":\"en\",\"freshness\":\"week\"}]}}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/bing-grounding"
      },
      "sameCompany": [
        "azure-openai",
        "azure-foundry-fine-tuning",
        "azure-ai-content-safety",
        "azure-speech-to-text",
        "azure-text-to-speech",
        "microsoft-agent-framework",
        "microsoft-execution-containers",
        "microsoft-entra-agent-id",
        "azure-key-vault",
        "azure-document-intelligence",
        "azure-devops-mcp",
        "microsoft-learn-mcp",
        "tokeneconomizer",
        "playwright-mcp",
        "azure-mcp",
        "azure-maps",
        "azure-translator",
        "microsoft-graph-calendar",
        "azure-blob-storage",
        "onedrive-sharepoint",
        "microsoft-teams",
        "dynamics-365-sales",
        "copilot-studio-mcp",
        "power-automate",
        "foundry-local",
        "microsoft-decision-1",
        "microsoft-advertising-api",
        "microsoft-excel-graph",
        "outlook-mail-graph",
        "microsoft-graph-people",
        "mage-vl-cowork"
      ],
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Grounding with Bing Search transaction",
          "unit": "1k-requests",
          "usd": 14,
          "note": "Counted as tool calls per run, plus the model deployment's token charges"
        },
        {
          "item": "Grounding with Bing Custom Search transaction",
          "unit": "1k-requests",
          "usd": 14,
          "note": "Same limits, 150 a second and 1 million a day"
        }
      ],
      "provenance": {
        "legalEntity": "Microsoft Corporation",
        "domain": "microsoft.com",
        "domainRegistered": "1991-05-02",
        "endpointOnVendorDomain": true,
        "terms": "https://www.microsoft.com/bing/apis/grounding-legal-enterprise",
        "privacy": "https://privacy.microsoft.com/en-us/privacystatement",
        "statusPage": "https://azure.status.microsoft/en-us/status",
        "changelog": "https://learn.microsoft.com/en-us/azure/foundry/whats-new-foundry",
        "securityTxt": "expired",
        "checked": "2026-11-06",
        "notes": [
          "The Foundry project endpoint is on services.ai.azure.com, a Microsoft domain. Domain registration date carried from the Azure listings' provenance.",
          "The Grounding with Bing terms of use (updated November 2025) are subject to the customer's Microsoft agreement (MCA, MBSA or MOSA) and name no separate contracting entity. They forbid using output on sites that block the customer's crawler, using links for crawling or scraping, and bypassing transaction limits.",
          "www.microsoft.com/.well-known/security.txt still carries Expires 2026-09-23T16:00:00.000Z on 6 November 2026.",
          "learn.microsoft.com/robots.txt allows the documentation paths read. The Azure status history page lists post-incident reviews for five years."
        ],
        "score": 87
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/bing-grounding.json",
      "live": {
        "slug": "bing-grounding",
        "probe": {
          "target": "https://{account}.services.ai.azure.com/api/projects/{project}/openai/v1/responses",
          "method": "get",
          "lastAt": "2026-11-07T18:20:13.927615013Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "invalid character \"{\" in host name",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 200,
          "samples30d": 200,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 13,
              "ok": 0
            },
            {
              "date": "2026-11-07",
              "probes": 187,
              "ok": 0
            }
          ],
          "outages": [
            {
              "start": "2026-11-06T22:45:07.390416052Z",
              "end": "0001-01-01T00:00:00Z",
              "note": "invalid character \"{\" in host name"
            }
          ]
        },
        "versions": [
          {
            "registry": "npm",
            "name": "@azure/ai-projects",
            "version": "2.10.0",
            "seenAt": "2026-11-06T23:11:06.900508365Z"
          },
          {
            "registry": "pypi",
            "name": "azure-ai-projects",
            "version": "2.10.0",
            "released": "2026-10-30",
            "seenAt": "2026-11-06T23:11:05.00335007Z"
          }
        ],
        "npmWeekly": 1368538,
        "pypiWeekly": 1896178,
        "securityTxt": {
          "url": "https://microsoft.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-27T16:00:00.000Z",
          "checkedAt": "2026-11-07T16:02:01.196666056Z"
        },
        "pages": [
          {
            "url": "https://www.microsoft.com/bing/apis/grounding-legal-enterprise",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-07T14:31:40.128456318Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ddf25722851a"
          }
        ],
        "updatedAt": "2026-11-07T18:20:13.927615013Z"
      }
    },
    "answer": "Tavily API + MCP scores 77.1 (BB) on agent readiness against Grounding with Bing Search's 63.7 (B), and leads in 5 of 7 scored categories. Grounding with Bing Search leads on security \u0026 auth.",
    "b": {
      "slug": "tavily-mcp",
      "name": "Tavily API + MCP",
      "vendor": "Tavily",
      "vendorUrl": "https://www.tavily.com",
      "kind": "mcp",
      "category": "search",
      "summary": "Tavily's REST API for web search, URL extraction, site mapping, crawling and cited research reports, with the official MCP server hosted at mcp.tavily.com or run locally from npm.",
      "url": "https://www.anchorterminal.com/tools/tavily-mcp",
      "markdownUrl": "https://www.anchorterminal.com/tools/tavily-mcp.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tavily-mcp.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json",
      "dns": "tavily-mcp.grade.anchorterminal.com",
      "repo": "https://github.com/tavily-ai/tavily-mcp",
      "license": "MIT",
      "transports": [
        "stdio",
        "streamable-http",
        "http"
      ],
      "remoteUrl": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
      "packages": [
        {
          "registry": "npm",
          "name": "@tavily/core"
        },
        {
          "registry": "pypi",
          "name": "tavily-python"
        },
        {
          "registry": "npm",
          "name": "tavily-mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "API key as `Authorization: Bearer tvly-...`. Development keys and production keys have different rate limits, and production keys need a paid plan or pay as you go. The `X-Tavily-Access-Mode: keyless` header gives rate-limited search and extract with no key. x402.tavily.com takes a `PAYMENT-SIGNATURE` header instead. MCP server: API key in the URL query (?tavilyApiKey=) or Authorization header; OAuth flow also supported on the hosted server (uses an mcp_auth_default key from the dashboard).",
      "pricing": "freemium",
      "pricingNotes": "Free 1,000 credits a month, no card. Project $30 a month (4,000 credits), Bootstrap $100 (15,000), Startup $220 (38,000), Growth $500 (100,000), pay as you go $0.008 a credit. Basic search 1 credit, advanced 2, extract 1 per 5 URLs (advanced 2), map 1 per 10 pages, crawl is map plus extract, research 4 to 250 credits by model. Failed extracts and maps aren't charged (https://www.tavily.com/pricing).",
      "priceSummary": "$7.50 / 1k req",
      "where": "both",
      "x402": {
        "level": "partial",
        "evidence": "Official x402 endpoint at x402.tavily.com sells POST /search in advanced mode only, $0.01 in USDC on Base. An unpaid request returned 402 and /.well-known/pricing listed the price on 2026-09-30. Extract, map, crawl and research aren't sold over x402 (https://docs.tavily.com/documentation/machine-payments/x402.md)",
        "endpoints": [
          {
            "url": "https://x402.tavily.com/search",
            "priceUsd": 0.01,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": 5,
      "popularity": {
        "githubStars": 2400,
        "npmWeekly": 451969,
        "pypiWeekly": 1589963,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.tavily.com",
      "llmsTxt": "https://docs.tavily.com/llms.txt",
      "openapi": "https://docs.tavily.com/documentation/api-reference/openapi.json",
      "registryName": "io.github.tavily-ai/tavily-mcp",
      "capabilities": [
        "web.search",
        "web.extract",
        "web.crawl",
        "web.fetch",
        "search.answer",
        "search.research",
        "search.news",
        "search.images"
      ],
      "tags": [
        "official",
        "hosted",
        "local",
        "open-source",
        "freemium",
        "llms-txt",
        "no-card",
        "free-tier",
        "x402",
        "openapi",
        "python",
        "typescript",
        "async-jobs",
        "enterprise",
        "mcp"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 77.1,
        "grade": "BB",
        "agentReady": true,
        "rank": 36,
        "ranked": true,
        "rankOf": 1486,
        "categoryRank": 1,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 90,
          "security": 52,
          "transparency": 62
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-01"
        },
        "negative": 0,
        "verdict": "Keyless search and extract, plus a free 1,000 credits a month with no card. x402 covers advanced search only, not extract, map, crawl or research, and the npm MCP release has trailed the GitHub source since August.",
        "bestFor": "An agent that needs search plus page text in one call and has no account yet.",
        "strengths": [
          "Keyless search and extract, plus a free 1,000 credits a month with no card",
          "x402 endpoint for advanced search at $0.01 in USDC on Base",
          "Public OpenAPI, llms.txt and an error table that tells plan limits (432) from pay-as-you-go limits (433) and flex tier capacity (434)",
          "429 carries Retry-After, with limits published per key type and endpoint",
          "Logs API filters calls by key and endpoint"
        ],
        "weaknesses": [
          "x402 covers advanced search only, not extract, map, crawl or research",
          "Hosted MCP docs lead with `?tavilyApiKey=` in the URL query string",
          "No readOnlyHint or destructiveHint on the MCP tools, and the npm server (0.2.22, 5 August 2026) trails the GitHub source",
          "Privacy policy lets query data improve future responses unless a contract says otherwise, with no zero-retention option found",
          "SLAs named only for the custom Enterprise plan, and no security.txt or deprecation policy found"
        ],
        "agentNotes": [
          "Try `X-Tavily-Access-Mode: keyless` first for search and extract. Over MCP, the keyless cap arrives as plain text without `isError`, so read the text before treating it as results",
          "Send the key in `Authorization: Bearer`, not `?tavilyApiKey=` in the MCP URL",
          "On 429, wait for `Retry-After`. A 432 or 433 means a spend limit, and retrying won't help. A 434 on a free plan means retry shortly or drop `max_age_hours`",
          "Run /map before /crawl to bound the crawl, since crawl is billed as map plus extract",
          "Research is async and runs 4 to 250 credits. Create the task, then poll /research/{request_id}"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 8,
        "avgRating": 3.6,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 77.1
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 90,
          "security": 52,
          "transparency": 47
        },
        "provenanceScore": 77,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-01",
            "maintenance": "2026-11-01",
            "payments": "2026-11-01",
            "reliability": "2026-11-01",
            "schema": "2026-11-01",
            "security": "2026-11-01",
            "transparency": "2026-11-01"
          },
          "last": "2026-11-01",
          "lastMoved": "2026-11-01",
          "oldest": "2026-11-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl -X POST https://api.tavily.com/search \\\n  -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"query\":\"latest AI news\",\"max_results\":5}'",
        "claudeCode": "claude mcp add --transport http tavily https://mcp.tavily.com/mcp/ --header \"Authorization: Bearer ${TAVILY_API_KEY}\"",
        "config": {
          "mcpServers": {
            "tavily": {
              "headers": {
                "Authorization": "Bearer ${TAVILY_API_KEY}"
              },
              "url": "https://mcp.tavily.com/mcp/"
            }
          }
        },
        "x402": "curl -i -X POST https://x402.tavily.com/search -H 'content-type: application/json' -d '{\"query\":\"Who is Leo Messi?\"}'\n# HTTP/2 402, PAYMENT-REQUIRED header carries the terms (10000 base units of USDC on eip155:8453)\n# retry with PAYMENT-SIGNATURE: \u003cbase64 signed authorization\u003e"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/tavily-mcp"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Basic search on Project plan",
          "unit": "1k-requests",
          "usd": 7.5,
          "note": "1 credit a search at $0.0075 a credit"
        },
        {
          "item": "Project plan",
          "unit": "month",
          "usd": 30,
          "note": "4,000 credits"
        },
        {
          "item": "Bootstrap plan",
          "unit": "month",
          "usd": 100,
          "note": "15,000 credits"
        },
        {
          "item": "Credit, pay as you go",
          "unit": "credit",
          "usd": 0.008,
          "note": "basic search 1 credit, advanced 2"
        }
      ],
      "provenance": {
        "legalEntity": "AlphaAI Technologies Inc. dba Tavily",
        "domain": "tavily.com",
        "domainRegistered": "2023-04-13",
        "endpointOnVendorDomain": true,
        "terms": "https://www.tavily.com/terms",
        "privacy": "https://www.tavily.com/privacy",
        "statusPage": "https://status.tavily.com",
        "changelog": "https://docs.tavily.com/changelog",
        "securityTxt": "none",
        "checked": "2026-11-01",
        "score": 77
      },
      "requirements": {
        "setupChecked": true,
        "complianceChecked": true,
        "agentAlone": true,
        "card": "no",
        "freeTier": true,
        "minutes": 3,
        "credential": "api-key",
        "euResidency": "unknown",
        "trainsOnData": "unknown",
        "zeroRetention": "yes",
        "selfHost": "no"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/tavily-mcp.json",
      "live": {
        "slug": "tavily-mcp",
        "probe": {
          "target": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
          "method": "mcp-initialize",
          "lastAt": "2026-11-07T18:20:58.421507107Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 339,
          "lastNote": "initialize answered",
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 269,
          "p95ms24h": 373,
          "samples24h": 239,
          "samples30d": 7910,
          "days": [
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
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        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "No x402, MPP or L402 (0). $14 per 1,000 transactions for Grounding with Bing Search and Custom Search, published on microsoft.com without a login (20). No free tier for Grounding with Bing, and an Azure subscription needs a card, as on the Azure Translator listing (0). A person signs up for Azure, creates a Foundry project and, for bing_grounding, a Bing resource (0).",
          "b": "Official x402 at x402.tavily.com sells advanced search only, $0.01 in USDC on Base. An unpaid POST to /search returned 402 on 1 November with an x402 version 2 envelope offering the `exact` scheme on eip155:8453 for 10000 units (0.01 USDC), and a second `agent-pay` option on aws:base for 0.016, described as advanced mode. Extract, map, crawl and research aren't sold over x402 (15). Credit costs per endpoint and $0.008 a credit pay as you go, published without a login and unchanged on 1 November (20). 1,000 free credits a month, no card, re-read on 1 November (20). Keyless search and extract with the `X-Tavily-Access-Mode: keyless` header, plus the x402 route, so an agent needs no human signup (20)."
        },
        "scores": {
          "a": 20,
          "b": 75
        }
      },
      {
        "by": 27,
        "category": "security",
        "leads": "bing-grounding",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Callers authenticate to the Foundry project with Microsoft Entra ID tokens and RBAC roles (Foundry User to run agents, Foundry Project Manager to add connections), with just-in-time Contributor through Entra PIM for provisioning. The Bing resource key sits in a project connection and the agent never holds it. No key in a URL (28 of 30). The tools only read. Custom Search confines grounding to configured public domains, and an admin can turn web search off for a whole subscription. There is no per-agent read-only toggle to set, since the tools have no write path (15 of 20). The web search page tells developers to treat web search results as untrusted input and to keep secrets and personal data out of prompts, and the tool best practices page says the same of all tool outputs. Raw results are not passed back to the caller (10 of 15). Run steps show each tool call and the Bing query sent, and Azure's activity log covers resource changes. No per-query audit log for Bing was found (10 of 15). Microsoft runs a coordinated vulnerability disclosure policy and bounty programmes through MSRC. microsoft.com's security.txt passed its Expires date on 23 September 2026 and still carries it on 6 November, and the Azure compliance attestations are not shown to cover a service whose data leaves the compliance boundary (16 of 20). 28 + 15 + 10 + 10 + 16 = 79.",
          "b": "Revocable keys, separate development and production keys, and the Logs API filters by key, so several keys per account work. The hosted MCP adds OAuth but maps it to one dashboard key with no scopes (22). The MCP README and docs still lead with `?tavilyApiKey=` in the URL on 1 November (minus 10). The five tools in the npm release all read. The GitHub main branch adds `tavily_feedback`, which posts scores to Tavily, the hosted server's tool list is unknown, and there's no read-only toolset (10). The home page says requests pass through 'security, privacy, and content validation layers that block PII leakage, prompt injection, and malicious sources'. That's a claim with no technical detail in the docs, plus a `safe_search` flag for adult content, per the 1 October check (7). The Logs API (filter by key and endpoint since August 2026) and `include_usage` give per-call visibility (13). SOC 2 and ISO 27001 named on the privacy page, per the 4 October check, and the MCP repo patches vulnerable dependencies about monthly (seven updates on 26 October). The trust centre is JavaScript-only for us (per the 1 October check, not re-read on 1 November), www.tavily.com/.well-known/security.txt returned 404 on 1 November, and no bug bounty found (10)."
        },
        "scores": {
          "a": 79,
          "b": 52
        }
      },
      {
        "by": 22,
        "category": "reliability",
        "leads": "tavily-mcp",
        "name": "Reliability",
        "reasons": {
          "a": "Graded on the hosted lines, for the Foundry Agent Service tools agents call. Azure status page with post-incident reviews and a Foundry Agent Service component (20). The history page read on 6 November lists one review in the 90 days from 8 August that names Foundry Agent Service, intermittent failures and latency in Sweden Central from 10:03 to 15:58 UTC on 29 September 2026. It was one region and partial, and the review doesn't name Grounding with Bing, so minor only, the reading the Azure Translator listing got for the same review (20). The pricing page publishes 150 transactions a second and 1 million a day for each Grounding with Bing resource (15). The web search troubleshooting table says to answer 429 with exponential backoff and retries. No Retry-After or tool-specific overload guidance was found, and searches have no side effects (8 of 15). No SLA naming Grounding with Bing was found. The terms make it a First Party Consumption Service apart from the Online Services terms, and the Online Services SLA document wasn't opened (0). Grounding with Bing Custom Search is marked preview and Grounding with Bing Search is not, but no page read states general availability for it or for the web_search tool, and the .NET SDK is in preview (5 of 10). 20 + 20 + 15 + 8 + 0 + 5 = 68.",
          "b": "incident.io status page at status.tavily.com with separate API, MCP and website components (20). One incident in the 90 days from 3 August, website degraded performance on 17 September 2026, and none since per the status feed re-read on 1 November. The API and MCP showed 100% per the 1 October check (30). Published limits, re-read on 1 November, 100 requests a minute on development keys and 1,000 on production, crawl 100 and research 20 task creations on both (15). 429 carries `Retry-After` and the docs say to use that value and the status code rather than parse the message. Since October a 434 tells non-paying plans that live fetching with `max_age_hours` is refused under load, with the advice to retry or omit it (15). The pricing page lists 'Enterprise-grade support and SLAs' for the custom Enterprise plan but publishes no SLA terms, per the 17 October check, and none were found in the docs index or terms (0). GA (10)."
        },
        "scores": {
          "a": 68,
          "b": 90
        }
      },
      {
        "by": 22,
        "category": "schema",
        "leads": "tavily-mcp",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "The tools are typed in the official SDKs (BingGroundingTool, BingCustomSearchPreviewTool, WebSearchTool) in Python, C#, JavaScript and Java, and the toolbox exposes web search as an MCP tool. No public OpenAPI description of the Responses tool types was confirmed from the pages read (10 of 25). Microsoft Learn serves each page as Markdown with `accept=text/markdown`, though learn.microsoft.com/llms.txt answers 404 (10). The pages say what each of four web grounding routes is for and when to choose it, when to use Custom Search instead, and not to ask the model to summarise a whole page (17 of 20). Parameters are typed with defaults and limits in prose, `count` 1 to 50 with default 5, freshness values and a date-range form, market and language formats, `search_context_size` low, medium or high (11 of 15). Examples in Python, C#, TypeScript, Java and REST with expected output, and troubleshooting tables for connection ID, authentication and 429 problems, but no error codes or bodies for the tools (10 of 15). Requests carry `api-version=v1` on the toolbox, SDK changelogs are dated and a monthly What's New page lists new articles, the latest for August 2026 (10 of 15). 10 + 10 + 17 + 11 + 10 + 10 = 68.",
          "b": "Public OpenAPI at docs.tavily.com, and typed JSON Schema on every MCP tool (25). llms.txt with Markdown pages and a 'Start here for agents' section, re-read on 1 November (10). Tool descriptions say what each does and when to reach for it, such as search for facts past the model's cutoff, but the npm release doesn't say when not to. A commit of 27 October on the GitHub main branch adds some, such as using the `news` topic only when the user asks for news and leaving the extract `query` empty for tables, but it isn't released on npm, so the award stays (14). Enums for `search_depth`, `topic`, `time_range` and `include_domains_mode`, ranges for `max_results` (0 to 20 on the API, 5 to 20 in the MCP), `chunks_per_source` (1 to 3) and `max_age_hours` (-1 to 720), and caps of 300 included and 150 excluded domains. The feedback tool on the GitHub main branch, not in the npm release, takes free-form `value` fields (13). Error table with examples for 400, 401, 422, 429, 432, 433, 434 and 500, re-read on 1 November (15). Versioned SDKs and a monthly changelog, which on 1 November has an October 2026 section documenting `max_age_hours` (accepted values and the 434 flex tier) and Tavily CLI plain output, and the search API reference now documents `max_age_hours`. `fetch_timeout` appears only in the 434 example message and `cache_fallback` nowhere in the reference or changelog, and the API path isn't versioned (13)."
        },
        "scores": {
          "a": 68,
          "b": 90
        }
      },
      {
        "by": 20,
        "category": "ergonomics",
        "leads": "tavily-mcp",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Read as a server-side search tool inside an agent run. The tools return a model's answer with citations rather than raw results, and `search_context_size` sets how much context web search uses. A caller can't size or inspect the result set itself, since the Bing tools never return their output. Custom Search confines grounding to chosen domains without code (18 of 25). `count`, freshness, market and language filters, and domain restriction through Custom Search. No pagination or offset (13 of 20). Troubleshooting tables give causes and fixes for connection ID, RBAC and 429 problems, but the tools document no error codes (8 of 20). Searches only read, so a retry is safe apart from the per-transaction charge. No MCP annotations are documented for the toolbox's web search tool (10 of 20). The web_search route needs only a project, a model deployment and the Foundry User role. bing_grounding also needs a paid Bing resource and a project connection. SDKs in Python, C#, JavaScript and Java (12 of 15). Prompt caching gets no hits with the Bing tools, because they add a timestamp to every request. 18 + 13 + 8 + 10 + 12 = 61.",
          "b": "Five tools in the published tavily-mcp 0.2.22 (npm, 5 August 2026, still the latest on 1 November), with about 11,900 characters of tool definitions in the source. The unreleased 0.2.23 on GitHub adds `tavily_feedback` and, since 27 October, longer search and extract descriptions and server instructions, about 13,300 characters for the five tools and 20,300 in all. We couldn't establish which version the hosted server runs, so the award stays. No tool filter found. Raw content, images and answers are opt-in, which keeps API responses small (18). `max_results`, domain include and exclude lists, `time_range`, start and end dates, country, and crawl depth, breadth and limit (20). 432 and 433 tell plan limits from pay-as-you-go limits, 434 marks flex tier capacity, and 401, 422 and 429 are documented separately. Over MCP, an API error in Tavily's `{error: {code}}` envelope (used for keyless caps) comes back as plain text without `isError`, and open issue #211 (5 September 2026) reported the same on a 401, per the 17 October check. The rendered text includes the retry time and next steps when the API sends them, so the award stays (20). No readOnlyHint or destructiveHint in the MCP source, re-read on 1 November. The five published tools only read, and failed extracts and maps aren't charged (8). Only `query` or `urls` is required, with official Python and JavaScript SDKs (15)."
        },
        "scores": {
          "a": 61,
          "b": 81
        }
      },
      {
        "by": 5,
        "category": "maintenance",
        "leads": "tavily-mcp",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Read as a closed service with official SDKs, as the other Azure listings are. The web search page was updated on 2 November 2026 and the Bing tools page on 12 October, and azure-ai-projects 2.10.0 shipped on PyPI and npm on 30 October 2026, the SDK that carries the tool types (30). azure-ai-projects released 2.6.0 (4 September), 2.6.1, 2.7.0, 2.8.0 (5 October), 2.9.0 (17 October) and 2.10.0 in the 90 days from 8 August. Their changelogs weren't read for web search changes, so they count as SDK releases (20). Microsoft Learn feedback, Microsoft Q\u0026A and the Azure SDK issue trackers, whose reply times weren't sampled (10 of 15). Current official SDKs in Python, JavaScript, .NET and Java, the .NET one in preview (15). The SDKs live in the azure-sdk monorepos and CI wasn't checked (5 of 10). 30 + 20 + 10 + 15 + 5 = 80.",
          "b": "@tavily/core 0.7.14 on npm, published on 6 October 2026, and tavily-python bumped to 0.8.5 in the repository the same day (PyPI's pages and release feed returned nothing to us on 1 November, so its publication there is unchecked). No newer SDK release by 1 November, so this line drops to 20 after 5 November unless one lands (30). The tavily-mcp npm release is older, 0.2.22 on 5 August 2026. Version 0.2.23 was committed on 16 September and still isn't on npm on 1 November, though the MCP repository had dependency bumps on 15 and 26 October and new descriptions on 27 October. Eight @tavily/core releases on npm since 5 August, tavily-python version bumps in its repository, tavily-mcp 0.2.22, and August and October changelog entries in the last 90 days (20). Maintainers merge pull requests and dependency fixes within days. Ten issues were open on tavily-mcp on 4 October, the oldest from 14 July 2026, including OAuth failures (#203, #220), empty extracts on single-page sites (#204) and a missing `isError` on a 401 (#211), per the 4 October check, not re-read on 1 November (GitHub answered 403) (15). Listed in the official MCP registry as io.github.tavily-ai/tavily-mcp, though the entry is still at 0.2.15 from 26 January 2026 on 1 November (15). The MCP repo has no CI workflows and no git tags, though it has a test file and regular security bumps. tavily-python runs tests in CI (5)."
        },
        "scores": {
          "a": 80,
          "b": 85
        }
      }
    ],
    "facts": [
      {
        "a": "HTTP API",
        "b": "MCP server",
        "name": "Kind"
      },
      {
        "a": "Microsoft",
        "b": "Tavily",
        "name": "Vendor"
      },
      {
        "a": "https://{account}.services.ai.azure.com/api/projects/{project}/openai/v1/responses",
        "b": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
        "name": "Hosted endpoint"
      },
      {
        "a": "Streamable HTTP",
        "b": "stdio, Streamable HTTP, HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "$14 per 1,000 requests",
        "b": "$7.50 per 1,000 requests",
        "name": "Price for web search"
      },
      {
        "a": "no",
        "b": "payer tooling only",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the customer's Microsoft agreement and the separate Grounding with Bing terms of use, which exclude it from the Microsoft Data Protection Addendum",
        "b": "MIT",
        "name": "Licence"
      },
      {
        "a": "3",
        "b": "5",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.tavily-ai/tavily-mcp",
        "name": "MCP registry"
      },
      {
        "a": "2026-11-02",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "2025-11-01",
        "b": "2026-05-04",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-01",
        "b": "2025-11-24",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "2.4k stars, 452k npm/wk, 1.6M PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.6/5 (8)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Tavily API + MCP scores 77.1 (BB) on agent readiness against Grounding with Bing Search's 63.7 (B), and leads in 5 of 7 scored categories. Grounding with Bing Search leads on security \u0026 auth.",
        "question": "Which is better for AI agents, Grounding with Bing Search or Tavily API + MCP?"
      },
      {
        "answer": "Tavily API + MCP, at $7.50 per 1,000 requests against $14 per 1,000 requests for Grounding with Bing Search. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for web search, Grounding with Bing Search or Tavily API + MCP?"
      },
      {
        "answer": "Grounding with Bing Search uses an OAuth sign-in. Tavily API + MCP takes an API key or an OAuth sign-in.",
        "question": "Do Grounding with Bing Search and Tavily API + MCP need an API key?"
      },
      {
        "answer": "Yes. Grounding with Bing Search has a hosted endpoint at https://{account}.services.ai.azure.com/api/projects/{project}/openai/v1/responses and Tavily API + MCP at https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e.",
        "question": "Can an agent call Grounding with Bing Search and Tavily API + MCP without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Grounding with Bing Search. Tavily API + MCP is open source (MIT).",
        "question": "Are Grounding with Bing Search and Tavily API + MCP open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 79 against 52"
        ],
        "also": null,
        "goodFor": "Teams already building on Foundry Agent Service who want cited answers from Bing without handling a search key.",
        "slug": "bing-grounding",
        "watchFor": "The Bing tools never return raw results to developers, only a model-written answer with citation links"
      },
      {
        "aheadOn": [
          "Reliability, 90 against 68",
          "Schema \u0026 documentation, 90 against 68",
          "Agent ergonomics, 81 against 61",
          "Payments \u0026 pricing, 75 against 20",
          "Maintenance \u0026 community, 85 against 80"
        ],
        "also": [
          "Cheaper for web search, $7.50 against $14 per 1,000 requests",
          "Agent-ready, a grade of BB or better",
          "Runs on your own machine",
          "Free to start without a card",
          "Open source"
        ],
        "goodFor": "An agent that needs search plus page text in one call and has no account yet.",
        "slug": "tavily-mcp",
        "watchFor": "x402 covers advanced search only, not extract, map, crawl or research"
      }
    ],
    "history": {
      "bing-grounding": null,
      "tavily-mcp": [
        {
          "causes": [
            "product"
          ],
          "date": "2026-11-01",
          "delta": 0.1,
          "from": 77,
          "fromGrade": "BB",
          "to": 77.1,
          "toGrade": "BB"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0.2,
          "from": 76.8,
          "fromGrade": "BB",
          "to": 77,
          "toGrade": "BB"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-08",
          "delta": -0.4,
          "from": 77.2,
          "fromGrade": "BB",
          "to": 76.8,
          "toGrade": "BB"
        }
      ]
    },
    "job": {
      "capability": "web.search",
      "name": "Web search"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-bing-grounding.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Grounding with Bing Search",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-bing-grounding"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-tavily-mcp.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Tavily API + MCP",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-tavily-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/arcmira-vs-bing-grounding.json",
        "title": "Arcmira vs Grounding with Bing Search",
        "url": "https://www.anchorterminal.com/compare/arcmira-vs-bing-grounding"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-brave-search-mcp.json",
        "title": "Grounding with Bing Search vs Brave Search API + MCP",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-brave-search-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-cloudflare-web-search.json",
        "title": "Grounding with Bing Search vs Cloudflare Web Search API",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-cloudflare-web-search"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-deepseek-search-api.json",
        "title": "Grounding with Bing Search vs DeepSeek Search and Fetch API",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-deepseek-search-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-exa-mcp.json",
        "title": "Grounding with Bing Search vs Exa API + MCP",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-exa-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-firecrawl-mcp.json",
        "title": "Grounding with Bing Search vs Firecrawl MCP",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-firecrawl-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-kagi-search.json",
        "title": "Grounding with Bing Search vs Kagi Search API",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-kagi-search"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-linkup.json",
        "title": "Grounding with Bing Search vs Linkup",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-linkup"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-mojeek.json",
        "title": "Grounding with Bing Search vs Mojeek Web Search API",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-mojeek"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-newscatcher.json",
        "title": "Grounding with Bing Search vs NewsCatcher",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-newscatcher"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-parallel-search-api.json",
        "title": "Grounding with Bing Search vs Parallel Search and Task APIs",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-parallel-search-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-perplexity-search-api.json",
        "title": "Grounding with Bing Search vs Perplexity Search API",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-perplexity-search-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-searchapi-io.json",
        "title": "Grounding with Bing Search vs SearchAPI.io",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-searchapi-io"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-serpapi.json",
        "title": "Grounding with Bing Search vs SerpApi",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-serpapi"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-serper.json",
        "title": "Grounding with Bing Search vs Serper",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-serper"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-serphouse.json",
        "title": "Grounding with Bing Search vs SERPHouse",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-serphouse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-serpkite.json",
        "title": "Grounding with Bing Search vs SerpKite",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-serpkite"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-specstream.json",
        "title": "Grounding with Bing Search vs SpecStream",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-specstream"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-tinyfish-search.json",
        "title": "Grounding with Bing Search vs TinyFish Search",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-tinyfish-search"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-valyu.json",
        "title": "Grounding with Bing Search vs Valyu",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-valyu"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bing-grounding-vs-you-com-api.json",
        "title": "Grounding with Bing Search vs You.com APIs",
        "url": "https://www.anchorterminal.com/compare/bing-grounding-vs-you-com-api"
      },
      {
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        "key": "reliability",
        "name": "Reliability",
        "tavily-mcp": 90,
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        "weight": 10
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        "by": 22,
        "edge": "tavily-mcp",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "tavily-mcp": 90,
        "weight": 13
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        "by": 20,
        "edge": "tavily-mcp",
        "key": "ergonomics",
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        "tavily-mcp": 81,
        "weight": 13
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      {
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        "by": 27,
        "edge": "bing-grounding",
        "key": "security",
        "name": "Security \u0026 auth",
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        "weight": 14
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        "bing-grounding": 20,
        "by": 55,
        "edge": "tavily-mcp",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "tavily-mcp": 75,
        "weight": 10
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        "name": "Task success",
        "pending": true,
        "weight": 10
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        "by": 5,
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        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "tavily-mcp": 85,
        "weight": 7
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        "by": 4,
        "edge": "bing-grounding",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "tavily-mcp": 62,
        "weight": 7
      }
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    "tutorials": [],
    "verdicts": {
      "bing-grounding": "First-party Bing grounding inside Foundry Agent Service, called with Entra ID so the agent never holds a search key, at a published $14 per 1,000 transactions. The tools return a model's answer with citations, never the raw results, and data sent to them falls outside Microsoft's Data Protection Addendum and Azure's compliance boundary.",
      "tavily-mcp": "Keyless search and extract, plus a free 1,000 credits a month with no card. x402 covers advanced search only, not extract, map, crawl or research, and the npm MCP release has trailed the GitHub source since August."
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  "markdown": "Tavily API + MCP scores 77.1 (BB) on agent readiness against Grounding with Bing Search's 63.7 (B), and leads in 5 of 7 scored categories. Grounding with Bing Search leads on security \u0026 auth. Both do web search. Tavily API + MCP is cheaper for web search, $7.50 against $14 per 1,000 requests.\n\n- Grounding with Bing Search: grade B, 63.7/100, rank #502 of 1486. Markdown https://www.anchorterminal.com/tools/bing-grounding.md · JSON https://www.anchorterminal.com/api/v1/tools/bing-grounding.json\n- Tavily API + MCP: grade BB, 77.1/100, rank #36 of 1486. Markdown https://www.anchorterminal.com/tools/tavily-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json\n- Best web search APIs for AI agents: https://www.anchorterminal.com/best/search/index.md\n- All 308 search comparisons: https://www.anchorterminal.com/compare/search/index.md\n\n## Which one, for what\n\n### Grounding with Bing Search (B)\n\nGood for: Teams already building on Foundry Agent Service who want cited answers from Bing without handling a search key.\n\nAhead on:\n- Security \u0026 auth, 79 against 52\n\nWatch for: The Bing tools never return raw results to developers, only a model-written answer with citation links\n\n### Tavily API + MCP (BB)\n\nGood for: An agent that needs search plus page text in one call and has no account yet.\n\nAhead on:\n- Reliability, 90 against 68\n- Schema \u0026 documentation, 90 against 68\n- Agent ergonomics, 81 against 61\n- Payments \u0026 pricing, 75 against 20\n- Maintenance \u0026 community, 85 against 80\n\nAlso in its favour:\n- Cheaper for web search, $7.50 against $14 per 1,000 requests\n- Agent-ready, a grade of BB or better\n- Runs on your own machine\n- Free to start without a card\n- Open source\n\nWatch for: x402 covers advanced search only, not extract, map, crawl or research\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Tavily API + MCP +55\n\n- Grounding with Bing Search (20): No x402, MPP or L402 (0). $14 per 1,000 transactions for Grounding with Bing Search and Custom Search, published on microsoft.com without a login (20). No free tier for Grounding with Bing, and an Azure subscription needs a card, as on the Azure Translator listing (0). A person signs up for Azure, creates a Foundry project and, for bing_grounding, a Bing resource (0).\n- Tavily API + MCP (75): Official x402 at x402.tavily.com sells advanced search only, $0.01 in USDC on Base. An unpaid POST to /search returned 402 on 1 November with an x402 version 2 envelope offering the `exact` scheme on eip155:8453 for 10000 units (0.01 USDC), and a second `agent-pay` option on aws:base for 0.016, described as advanced mode. Extract, map, crawl and research aren't sold over x402 (15). Credit costs per endpoint and $0.008 a credit pay as you go, published without a login and unchanged on 1 November (20). 1,000 free credits a month, no card, re-read on 1 November (20). Keyless search and extract with the `X-Tavily-Access-Mode: keyless` header, plus the x402 route, so an agent needs no human signup (20).\n\n### Security \u0026 auth: Grounding with Bing Search +27\n\n- Grounding with Bing Search (79): Callers authenticate to the Foundry project with Microsoft Entra ID tokens and RBAC roles (Foundry User to run agents, Foundry Project Manager to add connections), with just-in-time Contributor through Entra PIM for provisioning. The Bing resource key sits in a project connection and the agent never holds it. No key in a URL (28 of 30). The tools only read. Custom Search confines grounding to configured public domains, and an admin can turn web search off for a whole subscription. There is no per-agent read-only toggle to set, since the tools have no write path (15 of 20). The web search page tells developers to treat web search results as untrusted input and to keep secrets and personal data out of prompts, and the tool best practices page says the same of all tool outputs. Raw results are not passed back to the caller (10 of 15). Run steps show each tool call and the Bing query sent, and Azure's activity log covers resource changes. No per-query audit log for Bing was found (10 of 15). Microsoft runs a coordinated vulnerability disclosure policy and bounty programmes through MSRC. microsoft.com's security.txt passed its Expires date on 23 September 2026 and still carries it on 6 November, and the Azure compliance attestations are not shown to cover a service whose data leaves the compliance boundary (16 of 20). 28 + 15 + 10 + 10 + 16 = 79.\n- Tavily API + MCP (52): Revocable keys, separate development and production keys, and the Logs API filters by key, so several keys per account work. The hosted MCP adds OAuth but maps it to one dashboard key with no scopes (22). The MCP README and docs still lead with `?tavilyApiKey=` in the URL on 1 November (minus 10). The five tools in the npm release all read. The GitHub main branch adds `tavily_feedback`, which posts scores to Tavily, the hosted server's tool list is unknown, and there's no read-only toolset (10). The home page says requests pass through 'security, privacy, and content validation layers that block PII leakage, prompt injection, and malicious sources'. That's a claim with no technical detail in the docs, plus a `safe_search` flag for adult content, per the 1 October check (7). The Logs API (filter by key and endpoint since August 2026) and `include_usage` give per-call visibility (13). SOC 2 and ISO 27001 named on the privacy page, per the 4 October check, and the MCP repo patches vulnerable dependencies about monthly (seven updates on 26 October). The trust centre is JavaScript-only for us (per the 1 October check, not re-read on 1 November), www.tavily.com/.well-known/security.txt returned 404 on 1 November, and no bug bounty found (10).\n\n### Reliability: Tavily API + MCP +22\n\n- Grounding with Bing Search (68): Graded on the hosted lines, for the Foundry Agent Service tools agents call. Azure status page with post-incident reviews and a Foundry Agent Service component (20). The history page read on 6 November lists one review in the 90 days from 8 August that names Foundry Agent Service, intermittent failures and latency in Sweden Central from 10:03 to 15:58 UTC on 29 September 2026. It was one region and partial, and the review doesn't name Grounding with Bing, so minor only, the reading the Azure Translator listing got for the same review (20). The pricing page publishes 150 transactions a second and 1 million a day for each Grounding with Bing resource (15). The web search troubleshooting table says to answer 429 with exponential backoff and retries. No Retry-After or tool-specific overload guidance was found, and searches have no side effects (8 of 15). No SLA naming Grounding with Bing was found. The terms make it a First Party Consumption Service apart from the Online Services terms, and the Online Services SLA document wasn't opened (0). Grounding with Bing Custom Search is marked preview and Grounding with Bing Search is not, but no page read states general availability for it or for the web_search tool, and the .NET SDK is in preview (5 of 10). 20 + 20 + 15 + 8 + 0 + 5 = 68.\n- Tavily API + MCP (90): incident.io status page at status.tavily.com with separate API, MCP and website components (20). One incident in the 90 days from 3 August, website degraded performance on 17 September 2026, and none since per the status feed re-read on 1 November. The API and MCP showed 100% per the 1 October check (30). Published limits, re-read on 1 November, 100 requests a minute on development keys and 1,000 on production, crawl 100 and research 20 task creations on both (15). 429 carries `Retry-After` and the docs say to use that value and the status code rather than parse the message. Since October a 434 tells non-paying plans that live fetching with `max_age_hours` is refused under load, with the advice to retry or omit it (15). The pricing page lists 'Enterprise-grade support and SLAs' for the custom Enterprise plan but publishes no SLA terms, per the 17 October check, and none were found in the docs index or terms (0). GA (10).\n\n### Schema \u0026 documentation: Tavily API + MCP +22\n\n- Grounding with Bing Search (68): The tools are typed in the official SDKs (BingGroundingTool, BingCustomSearchPreviewTool, WebSearchTool) in Python, C#, JavaScript and Java, and the toolbox exposes web search as an MCP tool. No public OpenAPI description of the Responses tool types was confirmed from the pages read (10 of 25). Microsoft Learn serves each page as Markdown with `accept=text/markdown`, though learn.microsoft.com/llms.txt answers 404 (10). The pages say what each of four web grounding routes is for and when to choose it, when to use Custom Search instead, and not to ask the model to summarise a whole page (17 of 20). Parameters are typed with defaults and limits in prose, `count` 1 to 50 with default 5, freshness values and a date-range form, market and language formats, `search_context_size` low, medium or high (11 of 15). Examples in Python, C#, TypeScript, Java and REST with expected output, and troubleshooting tables for connection ID, authentication and 429 problems, but no error codes or bodies for the tools (10 of 15). Requests carry `api-version=v1` on the toolbox, SDK changelogs are dated and a monthly What's New page lists new articles, the latest for August 2026 (10 of 15). 10 + 10 + 17 + 11 + 10 + 10 = 68.\n- Tavily API + MCP (90): Public OpenAPI at docs.tavily.com, and typed JSON Schema on every MCP tool (25). llms.txt with Markdown pages and a 'Start here for agents' section, re-read on 1 November (10). Tool descriptions say what each does and when to reach for it, such as search for facts past the model's cutoff, but the npm release doesn't say when not to. A commit of 27 October on the GitHub main branch adds some, such as using the `news` topic only when the user asks for news and leaving the extract `query` empty for tables, but it isn't released on npm, so the award stays (14). Enums for `search_depth`, `topic`, `time_range` and `include_domains_mode`, ranges for `max_results` (0 to 20 on the API, 5 to 20 in the MCP), `chunks_per_source` (1 to 3) and `max_age_hours` (-1 to 720), and caps of 300 included and 150 excluded domains. The feedback tool on the GitHub main branch, not in the npm release, takes free-form `value` fields (13). Error table with examples for 400, 401, 422, 429, 432, 433, 434 and 500, re-read on 1 November (15). Versioned SDKs and a monthly changelog, which on 1 November has an October 2026 section documenting `max_age_hours` (accepted values and the 434 flex tier) and Tavily CLI plain output, and the search API reference now documents `max_age_hours`. `fetch_timeout` appears only in the 434 example message and `cache_fallback` nowhere in the reference or changelog, and the API path isn't versioned (13).\n\n### Agent ergonomics: Tavily API + MCP +20\n\n- Grounding with Bing Search (61): Read as a server-side search tool inside an agent run. The tools return a model's answer with citations rather than raw results, and `search_context_size` sets how much context web search uses. A caller can't size or inspect the result set itself, since the Bing tools never return their output. Custom Search confines grounding to chosen domains without code (18 of 25). `count`, freshness, market and language filters, and domain restriction through Custom Search. No pagination or offset (13 of 20). Troubleshooting tables give causes and fixes for connection ID, RBAC and 429 problems, but the tools document no error codes (8 of 20). Searches only read, so a retry is safe apart from the per-transaction charge. No MCP annotations are documented for the toolbox's web search tool (10 of 20). The web_search route needs only a project, a model deployment and the Foundry User role. bing_grounding also needs a paid Bing resource and a project connection. SDKs in Python, C#, JavaScript and Java (12 of 15). Prompt caching gets no hits with the Bing tools, because they add a timestamp to every request. 18 + 13 + 8 + 10 + 12 = 61.\n- Tavily API + MCP (81): Five tools in the published tavily-mcp 0.2.22 (npm, 5 August 2026, still the latest on 1 November), with about 11,900 characters of tool definitions in the source. The unreleased 0.2.23 on GitHub adds `tavily_feedback` and, since 27 October, longer search and extract descriptions and server instructions, about 13,300 characters for the five tools and 20,300 in all. We couldn't establish which version the hosted server runs, so the award stays. No tool filter found. Raw content, images and answers are opt-in, which keeps API responses small (18). `max_results`, domain include and exclude lists, `time_range`, start and end dates, country, and crawl depth, breadth and limit (20). 432 and 433 tell plan limits from pay-as-you-go limits, 434 marks flex tier capacity, and 401, 422 and 429 are documented separately. Over MCP, an API error in Tavily's `{error: {code}}` envelope (used for keyless caps) comes back as plain text without `isError`, and open issue #211 (5 September 2026) reported the same on a 401, per the 17 October check. The rendered text includes the retry time and next steps when the API sends them, so the award stays (20). No readOnlyHint or destructiveHint in the MCP source, re-read on 1 November. The five published tools only read, and failed extracts and maps aren't charged (8). Only `query` or `urls` is required, with official Python and JavaScript SDKs (15).\n\n### Maintenance \u0026 community: Tavily API + MCP +5\n\n- Grounding with Bing Search (80): Read as a closed service with official SDKs, as the other Azure listings are. The web search page was updated on 2 November 2026 and the Bing tools page on 12 October, and azure-ai-projects 2.10.0 shipped on PyPI and npm on 30 October 2026, the SDK that carries the tool types (30). azure-ai-projects released 2.6.0 (4 September), 2.6.1, 2.7.0, 2.8.0 (5 October), 2.9.0 (17 October) and 2.10.0 in the 90 days from 8 August. Their changelogs weren't read for web search changes, so they count as SDK releases (20). Microsoft Learn feedback, Microsoft Q\u0026A and the Azure SDK issue trackers, whose reply times weren't sampled (10 of 15). Current official SDKs in Python, JavaScript, .NET and Java, the .NET one in preview (15). The SDKs live in the azure-sdk monorepos and CI wasn't checked (5 of 10). 30 + 20 + 10 + 15 + 5 = 80.\n- Tavily API + MCP (85): @tavily/core 0.7.14 on npm, published on 6 October 2026, and tavily-python bumped to 0.8.5 in the repository the same day (PyPI's pages and release feed returned nothing to us on 1 November, so its publication there is unchecked). No newer SDK release by 1 November, so this line drops to 20 after 5 November unless one lands (30). The tavily-mcp npm release is older, 0.2.22 on 5 August 2026. Version 0.2.23 was committed on 16 September and still isn't on npm on 1 November, though the MCP repository had dependency bumps on 15 and 26 October and new descriptions on 27 October. Eight @tavily/core releases on npm since 5 August, tavily-python version bumps in its repository, tavily-mcp 0.2.22, and August and October changelog entries in the last 90 days (20). Maintainers merge pull requests and dependency fixes within days. Ten issues were open on tavily-mcp on 4 October, the oldest from 14 July 2026, including OAuth failures (#203, #220), empty extracts on single-page sites (#204) and a missing `isError` on a 401 (#211), per the 4 October check, not re-read on 1 November (GitHub answered 403) (15). Listed in the official MCP registry as io.github.tavily-ai/tavily-mcp, though the entry is still at 0.2.15 from 26 January 2026 on 1 November (15). The MCP repo has no CI workflows and no git tags, though it has a test file and regular security bumps. tavily-python runs tests in CI (5).\n\n## Score by category\n\n| Category | Weight | Grounding with Bing Search | Tavily API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 90 | Tavily API + MCP +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 68 | 90 | Tavily API + MCP +22 |\n| Agent ergonomics | 13% (16.2 this run) | 61 | 81 | Tavily API + MCP +20 |\n| Security \u0026 auth | 14% (17.5 this run) | 79 | 52 | Grounding with Bing Search +27 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 75 | Tavily API + MCP +55 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 85 | Tavily API + MCP +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 62 | Grounding with Bing Search +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.7 · B** | **77.1 · BB** | |\n\n## Facts side by side\n\n| Fact | Grounding with Bing Search | Tavily API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | MCP server |\n| Vendor | Microsoft | Tavily |\n| Hosted endpoint | `https://{account}.services.ai.azure.com/api/projects/{project}/openai/v1/responses` | `https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e` |\n| Transports | Streamable HTTP | stdio, Streamable HTTP, HTTP |\n| Auth | OAuth | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| Price for web search | $14 per 1,000 requests | $7.50 per 1,000 requests |\n| x402 | no | payer tooling only |\n| Licence | Proprietary service under the customer's Microsoft agreement and the separate Grounding with Bing terms of use, which exclude it from the Microsoft Data Protection Addendum | MIT |\n| Tools exposed | 3 | 5 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.tavily-ai/tavily-mcp` |\n| Last release | 2026-11-02 | 2026-10-06 |\n| Terms last updated | 2025-11-01 | 2026-05-04 |\n| Privacy policy last updated | 2026-09-01 | 2025-11-24 |\n| Customer content may train models | yes | yes |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 2.4k stars, 452k npm/wk, 1.6M PyPI/wk |\n| Agent reviews | none | 3.6/5 (8) |\n\n## How the scores have moved\n\n### Grounding with Bing Search\n\nNo score change since it was listed.\n\n### Tavily API + MCP\n\n- +0.1 on 1 November 2026: product\n- +0.2 on 27 October 2026: checklist\n- -0.4 on 8 October 2026: checklist\n\n## Verdicts\n\n**Grounding with Bing Search.** First-party Bing grounding inside Foundry Agent Service, called with Entra ID so the agent never holds a search key, at a published $14 per 1,000 transactions. The tools return a model's answer with citations, never the raw results, and data sent to them falls outside Microsoft's Data Protection Addendum and Azure's compliance boundary.\n\n**Tavily API + MCP.** Keyless search and extract, plus a free 1,000 credits a month with no card. x402 covers advanced search only, not extract, map, crawl or research, and the npm MCP release has trailed the GitHub source since August.\n\n## Before you call either\n\n### Grounding with Bing Search\n\n1. Use the citations in the response annotations as the sources; the tool output itself is not returned, and the terms require showing the URLs and the Bing query link\n2. Expect each run to bill one transaction per tool call at $14 per 1,000, plus model tokens, and set count and freshness in the tool configuration\n3. Treat cited page text as untrusted input and don't put secrets or personal data in prompts, since queries leave the Azure compliance boundary\n4. On 429 back off exponentially; no Retry-After header is documented for the tool\n\n### Tavily API + MCP\n\n1. Try `X-Tavily-Access-Mode: keyless` first for search and extract. Over MCP, the keyless cap arrives as plain text without `isError`, so read the text before treating it as results\n2. Send the key in `Authorization: Bearer`, not `?tavilyApiKey=` in the MCP URL\n3. On 429, wait for `Retry-After`. A 432 or 433 means a spend limit, and retrying won't help. A 434 on a free plan means retry shortly or drop `max_age_hours`\n4. Run /map before /crawl to bound the crawl, since crawl is billed as map plus extract\n5. Research is async and runs 4 to 250 credits. Create the task, then poll /research/{request_id}\n\n## Questions\n\n### Which is better for AI agents, Grounding with Bing Search or Tavily API + MCP?\n\nTavily API + MCP scores 77.1 (BB) on agent readiness against Grounding with Bing Search's 63.7 (B), and leads in 5 of 7 scored categories. Grounding with Bing Search leads on security \u0026 auth.\n\n### Which is cheaper for web search, Grounding with Bing Search or Tavily API + MCP?\n\nTavily API + MCP, at $7.50 per 1,000 requests against $14 per 1,000 requests for Grounding with Bing Search. These are the vendors' published prices for the job.\n\n### Do Grounding with Bing Search and Tavily API + MCP need an API key?\n\nGrounding with Bing Search uses an OAuth sign-in. Tavily API + MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call Grounding with Bing Search and Tavily API + MCP without installing anything?\n\nYes. Grounding with Bing Search has a hosted endpoint at https://{account}.services.ai.azure.com/api/projects/{project}/openai/v1/responses and Tavily API + MCP at https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e.\n\n### Are Grounding with Bing Search and Tavily API + MCP open source?\n\nNo open-source release is listed for Grounding with Bing Search. Tavily API + MCP is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/bing-grounding-vs-tavily-mcp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/bing-grounding-vs-tavily-mcp.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"bing-grounding\", \"b\": \"tavily-mcp\"}`. From a terminal: `anchor compare bing-grounding tavily-mcp`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/bing-grounding.json and https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json\n\n## Other comparisons with Grounding with Bing Search or Tavily API + MCP\n\n- [Web Search Tool on Amazon Bedrock AgentCore vs Grounding with Bing Search](https://www.anchorterminal.com/compare/agentcore-web-search-vs-bing-grounding.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Tavily API + MCP](https://www.anchorterminal.com/compare/agentcore-web-search-vs-tavily-mcp.md)\n- [Arcmira vs Grounding with Bing Search](https://www.anchorterminal.com/compare/arcmira-vs-bing-grounding.md)\n- [Grounding with Bing Search vs Brave Search API + MCP](https://www.anchorterminal.com/compare/bing-grounding-vs-brave-search-mcp.md)\n- [Grounding with Bing Search vs Cloudflare Web Search API](https://www.anchorterminal.com/compare/bing-grounding-vs-cloudflare-web-search.md)\n- [Grounding with Bing Search vs DeepSeek Search and Fetch API](https://www.anchorterminal.com/compare/bing-grounding-vs-deepseek-search-api.md)\n- [Grounding with Bing Search vs Exa API + MCP](https://www.anchorterminal.com/compare/bing-grounding-vs-exa-mcp.md)\n- [Grounding with Bing Search vs Firecrawl MCP](https://www.anchorterminal.com/compare/bing-grounding-vs-firecrawl-mcp.md)\n- [Grounding with Bing Search vs Kagi Search API](https://www.anchorterminal.com/compare/bing-grounding-vs-kagi-search.md)\n- [Grounding with Bing Search vs Linkup](https://www.anchorterminal.com/compare/bing-grounding-vs-linkup.md)\n- [Grounding with Bing Search vs Mojeek Web Search API](https://www.anchorterminal.com/compare/bing-grounding-vs-mojeek.md)\n- [Grounding with Bing Search vs NewsCatcher](https://www.anchorterminal.com/compare/bing-grounding-vs-newscatcher.md)\n- [Grounding with Bing Search vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/bing-grounding-vs-parallel-search-api.md)\n- [Grounding with Bing Search vs Perplexity Search API](https://www.anchorterminal.com/compare/bing-grounding-vs-perplexity-search-api.md)\n- [Grounding with Bing Search vs SearchAPI.io](https://www.anchorterminal.com/compare/bing-grounding-vs-searchapi-io.md)\n- [Grounding with Bing Search vs SerpApi](https://www.anchorterminal.com/compare/bing-grounding-vs-serpapi.md)\n- [Grounding with Bing Search vs Serper](https://www.anchorterminal.com/compare/bing-grounding-vs-serper.md)\n- [Grounding with Bing Search vs SERPHouse](https://www.anchorterminal.com/compare/bing-grounding-vs-serphouse.md)\n- [Grounding with Bing Search vs SerpKite](https://www.anchorterminal.com/compare/bing-grounding-vs-serpkite.md)\n- [Grounding with Bing Search vs SpecStream](https://www.anchorterminal.com/compare/bing-grounding-vs-specstream.md)\n- [Grounding with Bing Search vs TinyFish Search](https://www.anchorterminal.com/compare/bing-grounding-vs-tinyfish-search.md)\n- [Grounding with Bing Search vs Valyu](https://www.anchorterminal.com/compare/bing-grounding-vs-valyu.md)\n- [Grounding with Bing Search vs You.com APIs](https://www.anchorterminal.com/compare/bing-grounding-vs-you-com-api.md)\n- [Brave Search API + MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/brave-search-mcp-vs-tavily-mcp.md)\n- [Cloudflare Web Search API vs Tavily API + MCP](https://www.anchorterminal.com/compare/cloudflare-web-search-vs-tavily-mcp.md)\n- [DeepSeek Search and Fetch API vs Tavily API + MCP](https://www.anchorterminal.com/compare/deepseek-search-api-vs-tavily-mcp.md)\n- [Exa API + MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/exa-mcp-vs-tavily-mcp.md)\n- [Firecrawl MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/firecrawl-mcp-vs-tavily-mcp.md)\n- [Kagi Search API vs Tavily API + MCP](https://www.anchorterminal.com/compare/kagi-search-vs-tavily-mcp.md)\n- [Linkup vs Tavily API + MCP](https://www.anchorterminal.com/compare/linkup-vs-tavily-mcp.md)\n- [Mojeek Web Search API vs Tavily API + MCP](https://www.anchorterminal.com/compare/mojeek-vs-tavily-mcp.md)\n- [Parallel Search and Task APIs vs Tavily API + MCP](https://www.anchorterminal.com/compare/parallel-search-api-vs-tavily-mcp.md)\n- [Perplexity Search API vs Tavily API + MCP](https://www.anchorterminal.com/compare/perplexity-search-api-vs-tavily-mcp.md)\n- [SearchAPI.io vs Tavily API + MCP](https://www.anchorterminal.com/compare/searchapi-io-vs-tavily-mcp.md)\n- [SerpApi vs Tavily API + MCP](https://www.anchorterminal.com/compare/serpapi-vs-tavily-mcp.md)\n- [Serper vs Tavily API + MCP](https://www.anchorterminal.com/compare/serper-vs-tavily-mcp.md)\n- [SERPHouse vs Tavily API + MCP](https://www.anchorterminal.com/compare/serphouse-vs-tavily-mcp.md)\n- [SerpKite vs Tavily API + MCP](https://www.anchorterminal.com/compare/serpkite-vs-tavily-mcp.md)\n- [Tavily API + MCP vs TinyFish Search](https://www.anchorterminal.com/compare/tavily-mcp-vs-tinyfish-search.md)\n- [Tavily API + MCP vs Valyu](https://www.anchorterminal.com/compare/tavily-mcp-vs-valyu.md)\n- [Tavily API + MCP vs You.com APIs](https://www.anchorterminal.com/compare/tavily-mcp-vs-you-com-api.md)\n- [Arcmira vs Tavily API + MCP](https://www.anchorterminal.com/compare/arcmira-vs-tavily-mcp.md)\n- [Grep AI vs Tavily API + MCP](https://www.anchorterminal.com/compare/grep-ai-vs-tavily-mcp.md)\n- [SpecStream vs Tavily API + MCP](https://www.anchorterminal.com/compare/specstream-vs-tavily-mcp.md)\n- [Fetch (MCP reference server) vs Tavily API + MCP](https://www.anchorterminal.com/compare/fetch-reference-server-vs-tavily-mcp.md)\n- [NewsCatcher vs Tavily API + MCP](https://www.anchorterminal.com/compare/newscatcher-vs-tavily-mcp.md)\n- [Grounding with Bing Search vs Grep AI](https://www.anchorterminal.com/compare/bing-grounding-vs-grep-ai.md)\n",
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    "description": "Tavily scores 77.1 (BB) to Grounding with Bing Search's 63.7 (B) for web search. Tavily is cheaper for web search, $7.50 against $14 per 1,000 requests. Prices, MCP, x402, uptime and agent notes side by side.",
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