{
  "data": {
    "a": {
      "slug": "parallel-search-api",
      "name": "Parallel Search and Task APIs",
      "vendor": "Parallel Web Systems",
      "vendorUrl": "https://parallel.ai",
      "kind": "http-api",
      "category": "search",
      "summary": "Parallel's web APIs for agents.",
      "url": "https://www.anchorterminal.com/tools/parallel-search-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/parallel-search-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/parallel-search-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/parallel-search-api.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.parallel.ai/v1/search",
      "packages": [
        {
          "registry": "npm",
          "name": "parallel-web"
        },
        {
          "registry": "pypi",
          "name": "parallel-web"
        }
      ],
      "auth": "mixed",
      "authNotes": "API key in the `x-api-key` header. The Search MCP at search.parallel.ai/mcp works anonymously at lower limits, takes a Bearer key, and /mcp-oauth adds OAuth. An OAuth provider can issue keys on behalf of your users.",
      "pricing": "freemium",
      "pricingNotes": "Up to 5,000 free requests a month, with $5 of free credit monthly and up to $80 at signup. Search $1 per 1,000 requests in turbo or fast, $5 in basic or advanced, 10 results included and $1 per 1,000 extra results. Extract $1 per 1,000 URLs. Task $5 (lite) to $2,400 (ultra8x) per 1,000 successful runs. Responses $10 to $250 per 1,000 by reasoning effort. Failed runs aren't billed (https://parallel.ai/pricing).",
      "priceSummary": "$1 / 1k req",
      "where": "hosted",
      "x402": {
        "level": "partial",
        "evidence": "Not on api.parallel.ai. A separate gateway at parallelmpp.dev takes x402 (USDC on Base) and MPP (Stripe or Tempo) for search and extract at $0.01 and an ultra task at $0.30. An unauthenticated POST to /api/search returned 402 with an x402 v2 challenge for 10000 base units on eip155:8453 (checked 2026-09-30) (https://docs.parallel.ai/integrations/agentic-payments).",
        "endpoints": [
          {
            "url": "https://parallelmpp.dev/api/search",
            "priceUsd": 0.01,
            "network": "eip155:8453"
          },
          {
            "url": "https://parallelmpp.dev/api/extract",
            "priceUsd": 0.01,
            "network": "eip155:8453"
          },
          {
            "url": "https://parallelmpp.dev/api/task",
            "priceUsd": 0.3,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": 6,
      "popularity": {
        "githubStars": 28,
        "npmWeekly": 249803,
        "pypiWeekly": 994376,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.parallel.ai",
      "llmsTxt": "https://docs.parallel.ai/llms.txt",
      "openapi": "https://docs.parallel.ai/public-openapi.json",
      "registryName": "ai.parallel/search-mcp",
      "capabilities": [
        "web.search",
        "web.fetch",
        "web.extract",
        "search.answer",
        "search.research"
      ],
      "tags": [
        "hosted",
        "freemium",
        "mcp",
        "llms-txt",
        "openapi",
        "x402",
        "python",
        "typescript",
        "async-jobs",
        "webhooks"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 74.1,
        "grade": "BB",
        "agentReady": true,
        "rank": 51,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 3,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 87,
          "payments": 75,
          "reliability": 75,
          "schema": 94,
          "security": 45,
          "transparency": 66
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Fast-mode search at $1 per 1,000 with 10 excerpted results, and Extract at $1 per 1,000 URLs. Search defaults to advanced mode at $5 per 1,000 when `mode` is left out.",
        "strengths": [
          "Fast-mode search at $1 per 1,000 with 10 excerpted results, and Extract at $1 per 1,000 URLs",
          "Task runs billed only on success, and documented limits of 600 searches and 2,000 task creations a minute",
          "Keyless hosted Search MCP, with Bearer and OAuth endpoints for higher limits",
          "Public OpenAPI, llms.txt and an errors table that says which codes to retry",
          "Changelog entries most weeks and SDK releases several times a month"
        ],
        "weaknesses": [
          "Search defaults to advanced mode at $5 per 1,000 when `mode` is left out",
          "SDKs retry Task creation on 429 and 5xx with no idempotency key",
          "x402 and MPP only through parallelmpp.dev at a flat $0.01, not on api.parallel.ai",
          "No prompt-injection guidance, no security.txt and no public subprocessor list",
          "No retention period stated outside the EU endpoint"
        ],
        "agentNotes": [
          "Pass `mode: \"fast\"` on every search. Without it you pay the advanced rate",
          "Create Task runs with `max_retries=0` and check for an existing run before retrying",
          "Give an `objective` plus two or three short `search_queries`. That's what ranks the excerpts",
          "On 402, check available balance rather than total. Running tasks reserve credit",
          "Prefer natural-language source guidance to domain filters. The docs say filters can cut result quality"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 8,
        "avgRating": 3.6,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 74.1
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 87,
          "payments": 75,
          "reliability": 75,
          "schema": 94,
          "security": 45,
          "transparency": 45
        },
        "provenanceScore": 86
      },
      "connect": {
        "http": "curl https://api.parallel.ai/v1/search -H \"x-api-key: $PARALLEL_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"mode\":\"fast\",\"objective\":\"Latest Parallel Web Systems announcements\",\"search_queries\":[\"Parallel Web Systems news\"]}'",
        "claudeCode": "claude mcp add --transport http parallel-search https://search.parallel.ai/mcp",
        "config": {
          "mcpServers": {
            "parallel-search": {
              "headers": {
                "Authorization": "Bearer ${PARALLEL_API_KEY}"
              },
              "url": "https://search.parallel.ai/mcp"
            }
          }
        },
        "x402": "curl -i -X POST https://parallelmpp.dev/api/search -H 'content-type: application/json' -d '{\"query\":\"test\"}'\n# 402 -\u003e pay $0.01 USDC on eip155:8453 (or MPP via Stripe/Tempo) -\u003e resend"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/parallel-search-api"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Search, turbo or fast",
          "unit": "1k-requests",
          "usd": 1,
          "note": "10 results included"
        },
        {
          "item": "Search, basic or advanced",
          "unit": "1k-requests",
          "usd": 5,
          "note": "advanced is the default mode"
        },
        {
          "item": "Extract",
          "unit": "1k-pages",
          "usd": 1
        },
        {
          "item": "Task, lite processor",
          "unit": "1k-calls",
          "usd": 5
        },
        {
          "item": "Task, pro processor",
          "unit": "1k-calls",
          "usd": 100
        },
        {
          "item": "Responses, medium effort",
          "unit": "1k-requests",
          "usd": 50
        },
        {
          "item": "x402 search via gateway",
          "unit": "call",
          "usd": 0.01,
          "note": "parallelmpp.dev"
        }
      ],
      "provenance": {
        "legalEntity": "Parallel Web Systems Inc.",
        "domain": "parallel.ai",
        "domainRegistered": "2017-12-16",
        "domainNote": "Registered in 2017 and transferred on 2024-07-01, so the registration date predates the company's use of it.",
        "endpointOnVendorDomain": true,
        "terms": "https://parallel.ai/terms-of-service",
        "privacy": "https://parallel.ai/privacy-policy",
        "statusPage": "https://status.parallel.ai",
        "changelog": "https://docs.parallel.ai/resources/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "score": 86
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/parallel-search-api.json",
      "live": {
        "slug": "parallel-search-api",
        "probe": {
          "target": "https://api.parallel.ai/v1/search",
          "method": "get",
          "lastAt": "2026-10-04T23:32:51.923876395Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 1122,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 1127,
          "p95ms24h": 1182,
          "samples24h": 272,
          "samples30d": 1097,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 267,
              "ok": 267
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.parallel.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-04T23:27:58.733304117Z"
        },
        "versions": [
          {
            "registry": "mcp-registry",
            "name": "ai.parallel/search-mcp",
            "version": "1.0.0",
            "seenAt": "2026-10-03T23:29:28.630222764Z"
          },
          {
            "registry": "npm",
            "name": "parallel-web",
            "version": "1.3.5",
            "seenAt": "2026-10-04T16:36:18.02907643Z"
          },
          {
            "registry": "pypi",
            "name": "parallel-web",
            "version": "1.3.5",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:36:19.001388565Z"
          }
        ],
        "npmWeekly": 272076,
        "pypiWeekly": 1010177,
        "securityTxt": {
          "url": "https://parallel.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:43.015248132Z"
        },
        "llmsTxt": {
          "url": "https://docs.parallel.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:06.065239984Z"
        },
        "domain": {
          "domain": "parallel.ai",
          "registered": "2017-12-16",
          "source": "https://rdap.identitydigital.services/rdap/domain/parallel.ai",
          "checkedAt": "2026-10-04T13:04:29.88893781Z"
        },
        "pages": [
          {
            "url": "https://docs.parallel.ai/resources/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:43:52.752451731Z",
            "changedAt": "2026-10-03T15:31:59.173094113Z",
            "fingerprint": "e871cdd4ace7"
          },
          {
            "url": "https://parallel.ai/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-04T15:46:33.40854292Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "b610ae5a0e03"
          },
          {
            "url": "https://parallel.ai/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-04T15:46:35.561147321Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "43a351e6a658"
          },
          {
            "url": "https://parallel.ai/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:46:37.553637339Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "533f03cba7ff"
          }
        ],
        "updatedAt": "2026-10-04T23:32:51.923876395Z"
      }
    },
    "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",
      "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": 6,
      "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": "2026-09-18",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 77.2,
        "grade": "BB",
        "agentReady": true,
        "rank": 20,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 1,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 89,
          "security": 52,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "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.",
        "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)",
          "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 feedback tool's definition is longer than the search tool's",
          "Privacy policy lets query data improve future responses unless a contract says otherwise, with no zero-retention option found",
          "No SLA, security.txt or deprecation policy found"
        ],
        "agentNotes": [
          "Try `X-Tavily-Access-Mode: keyless` first for search and extract, then switch to a key or x402 when the limit hits",
          "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",
          "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": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 77.2
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 89,
          "security": 52,
          "transparency": 47
        },
        "provenanceScore": 82
      },
      "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": "2026-09-30",
        "score": 82
      },
      "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": "2026-10-04T23:32:55.12095505Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 258,
          "lastNote": "initialize answered",
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 257,
          "p95ms24h": 305,
          "samples24h": 272,
          "samples30d": 2051,
          "days": [
            {
              "date": "2026-09-27",
              "probes": 132,
              "ok": 132
            },
            {
              "date": "2026-09-28",
              "probes": 285,
              "ok": 285
            },
            {
              "date": "2026-09-29",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-09-30",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 267,
              "ok": 267
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.tavily.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-04T23:28:03.796005979Z"
        },
        "versions": [
          {
            "registry": "mcp-registry",
            "name": "io.github.tavily-ai/tavily-mcp",
            "version": "0.2.15",
            "seenAt": "2026-10-03T23:29:28.630222764Z"
          },
          {
            "registry": "npm",
            "name": "@tavily/core",
            "version": "0.7.13",
            "seenAt": "2026-10-04T16:41:18.596538179Z"
          },
          {
            "registry": "npm",
            "name": "tavily-mcp",
            "version": "0.2.22",
            "seenAt": "2026-10-04T16:41:19.547913482Z"
          },
          {
            "registry": "pypi",
            "name": "tavily-python",
            "version": "0.8.4",
            "released": "2026-09-18",
            "seenAt": "2026-10-04T16:41:19.43866146Z"
          }
        ],
        "githubStars": 2416,
        "npmWeekly": 472577,
        "pypiWeekly": 1688928,
        "securityTxt": {
          "url": "https://tavily.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:39.406853105Z"
        },
        "llmsTxt": {
          "url": "https://docs.tavily.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:17.194149771Z"
        },
        "domain": {
          "domain": "tavily.com",
          "registered": "2023-04-13",
          "source": "https://rdap.verisign.com/com/v1/domain/tavily.com",
          "checkedAt": "2026-10-04T13:10:11.715455706Z"
        },
        "pages": [
          {
            "url": "https://docs.tavily.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:07.445190355Z",
            "changedAt": "2026-10-01T13:13:02.472584343Z",
            "fingerprint": "b80e278c1058"
          },
          {
            "url": "https://www.tavily.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:52:25.606932727Z",
            "changedAt": "2026-10-01T13:18:40.634970947Z",
            "fingerprint": "a7eb93565f03"
          },
          {
            "url": "https://www.tavily.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:52:27.748065371Z",
            "changedAt": "2026-10-01T13:18:42.856868801Z",
            "fingerprint": "7d1afba1cbc9"
          },
          {
            "url": "https://www.tavily.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:52:29.801047363Z",
            "changedAt": "2026-10-01T13:18:44.802104507Z",
            "fingerprint": "14aecf61290a"
          }
        ],
        "mcpTools": {
          "url": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
          "checkedAt": "2026-10-04T22:20:00.813367628Z",
          "status": "ok",
          "protocol": "2026-07-28",
          "tools": [
            {
              "name": "tavily_search",
              "title": "Tavily Search",
              "description": "Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "country": {
                    "default": "",
                    "description": "Boost search results from a specific country. Must be a full country name (e.g., 'United States', 'Japan', 'Germany'). ISO country codes (e.g., 'us', 'jp') are not supported. Available only if topic is general. See https://docs.tavily.com/documentation/api-reference/search for the full list of supported countries.",
                    "type": "string"
                  },
                  "end_date": {
                    "default": "",
                    "description": "Will return all results before the specified end date. Required to be written in the format YYYY-MM-DD",
                    "type": "string"
                  },
                  "exact_match": {
                    "anyOf": [
                      {
                        "type": "boolean"
                      },
                      {
                        "type": "null"
                      }
                    ],
                    "default": null,
                    "description": "Only return results containing the exact phrase(s) in quotes in your query"
                  },
                  "exclude_domains": {
                    "default": [],
                    "description": "List of domains to specifically exclude, if the user asks to exclude a domain set this to the domain of the site",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "include_domains": {
                    "default": [],
                    "description": "A list of domains to specifically include in the search results, if the user asks to search on specific sites set this to the domain of the site",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "include_favicon": {
                    "default": false,
                    "description": "Whether to include the favicon URL for each result",
                    "type": "boolean"
                  },
                  "include_image_descriptions": {
                    "default": false,
                    "description": "Include a list of query-related images and their descriptions in the response",
                    "type": "boolean"
                  },
                  "include_images": {
                    "default": false,
                    "description": "Include a list of query-related images in the response",
                    "type": "boolean"
                  },
                  "include_raw_content": {
                    "default": false,
                    "description": "Include the cleaned and parsed HTML content of each search result",
                    "type": "boolean"
                  },
                  "max_results": {
                    "default": 5,
                    "description": "The maximum number of search results to return",
                    "type": "integer"
                  },
                  "query": {
                    "description": "Search query",
                    "type": "string"
                  },
                  "search_depth": {
                    "default": "basic",
                    "description": "The depth of the search. 'basic' for generic results, 'advanced' for more thorough search, 'fast' for optimized low latency with high relevance, 'ultra-fast' for prioritizing latency above all else",
                    "enum": [
                      "basic",
                      "advanced",
                      "fast",
                      "ultra-fast"
                    ],
                    "type": "string"
                  },
                  "start_date": {
                    "default": "",
                    "description": "Will return all results after the specified start date. Required to be written in the format YYYY-MM-DD.",
                    "type": "string"
                  },
                  "time_range": {
                    "anyOf": [
                      {
                        "enum": [
                          "day",
                          "week",
                          "month",
                          "year"
                        ],
                        "type": "string"
                      },
                      {
                        "type": "null"
                      }
                    ],
                    "default": null,
                    "description": "The time range back from the current date to include in the search results"
                  },
                  "topic": {
                    "const": "general",
                    "default": "general",
                    "description": "The category of the search. This will determine which of our agents will be used for the search",
                    "type": "string"
                  }
                },
                "required": [
                  "query"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "name": "tavily_extract",
              "title": "Tavily Extract",
              "description": "Extract content from URLs. Returns raw page content in markdown or text format.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "extract_depth": {
                    "default": "basic",
                    "description": "Use 'advanced' for LinkedIn, protected sites, or tables/embedded content",
                    "enum": [
                      "basic",
                      "advanced"
                    ],
                    "type": "string"
                  },
                  "format": {
                    "default": "markdown",
                    "description": "Output format",
                    "enum": [
                      "markdown",
                      "text"
                    ],
                    "type": "string"
                  },
                  "include_favicon": {
                    "default": false,
                    "description": "Include favicon URLs",
                    "type": "boolean"
                  },
                  "include_images": {
                    "default": false,
                    "description": "Include images from pages",
                    "type": "boolean"
                  },
                  "query": {
                    "default": "",
                    "description": "Query to rerank content chunks by relevance",
                    "type": "string"
                  },
                  "urls": {
                    "description": "List of URLs to extract content from",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                },
                "required": [
                  "urls"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "name": "tavily_crawl",
              "title": "Tavily Crawl",
              "description": "Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "allow_external": {
                    "default": true,
                    "description": "Whether to return external links in the final response",
                    "type": "boolean"
                  },
                  "extract_depth": {
                    "default": "basic",
                    "description": "Advanced extraction retrieves more data, including tables and embedded content, with higher success but may increase latency",
                    "enum": [
                      "basic",
                      "advanced"
                    ],
                    "type": "string"
                  },
                  "format": {
                    "default": "markdown",
                    "description": "The format of the extracted web page content. markdown returns content in markdown format. text returns plain text and may increase latency.",
                    "enum": [
                      "markdown",
                      "text"
                    ],
                    "type": "string"
                  },
                  "include_favicon": {
                    "default": false,
                    "description": "Whether to include the favicon URL for each result",
                    "type": "boolean"
                  },
                  "instructions": {
                    "default": "",
                    "description": "Natural language instructions for the crawler. Instructions specify which types of pages the crawler should return.",
                    "type": "string"
                  },
                  "limit": {
                    "default": 50,
                    "description": "Total number of links the crawler will process before stopping",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_breadth": {
                    "default": 20,
                    "description": "Max number of links to follow per level of the tree (i.e., per page)",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_depth": {
                    "default": 1,
                    "description": "Max depth of the crawl. Defines how far from the base URL the crawler can explore.",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "select_domains": {
                    "default": [],
                    "description": "Regex patterns to restrict crawling to specific domains or subdomains (e.g., ^docs\\.example\\.com$)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "select_paths": {
                    "default": [],
                    "description": "Regex patterns to select only URLs with specific path patterns (e.g., /docs/.*, /api/v1.*)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "url": {
                    "description": "The root URL to begin the crawl",
                    "type": "string"
                  }
                },
                "required": [
                  "url"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "name": "tavily_map",
              "title": "Tavily Map",
              "description": "Map a website's structure. Returns a list of URLs found starting from the base URL.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "allow_external": {
                    "default": true,
                    "description": "Whether to return external links in the final response",
                    "type": "boolean"
                  },
                  "instructions": {
                    "default": "",
                    "description": "Natural language instructions for the crawler",
                    "type": "string"
                  },
                  "limit": {
                    "default": 50,
                    "description": "Total number of links the crawler will process before stopping",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_breadth": {
                    "default": 20,
                    "description": "Max number of links to follow per level of the tree (i.e., per page)",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_depth": {
                    "default": 1,
                    "description": "Max depth of the mapping. Defines how far from the base URL the crawler can explore",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "select_domains": {
                    "default": [],
                    "description": "Regex patterns to restrict crawling to specific domains or subdomains (e.g., ^docs\\.example\\.com$)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "select_paths": {
                    "default": [],
                    "description": "Regex patterns to select only URLs with specific path patterns (e.g., /docs/.*, /api/v1.*)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "url": {
                    "description": "The root URL to begin the mapping",
                    "type": "string"
                  }
                },
                "required": [
                  "url"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "name": "tavily_research",
              "title": "Tavily Research",
              "description": "Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources, including web pages, documents, and other resources, to answer a question or complete a task. Returns a detailed response based on the research findings. Rate limit: 20 requests per minute.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "input": {
                    "description": "A comprehensive description of the research task",
                    "type": "string"
                  },
                  "model": {
                    "default": "auto",
                    "description": "Defines the degree of depth of the research. 'mini' is good for narrow tasks with few subtopics. 'pro' is good for broad tasks with many subtopics",
                    "enum": [
                      "mini",
                      "pro",
                      "auto"
                    ],
                    "type": "string"
                  }
                },
                "required": [
                  "input"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            }
          ],
          "schemaTokens": 2262,
          "changedAt": "2026-09-28T21:55:54.996628221Z",
          "check": {
            "checker": "anchor-check/1.0",
            "totalTokens": 2262,
            "counts": {
              "error": 0,
              "note": 0,
              "warn": 1
            },
            "findings": [
              {
                "rule": "TC14",
                "severity": "warn",
                "tool": "tavily_search",
                "message": "allowed values are in the description, not an enum: country",
                "fix": "Move them into enum."
              }
            ]
          }
        },
        "updatedAt": "2026-10-04T23:32:55.12095505Z"
      }
    },
    "summary": "Tavily API + MCP has a score of 77.2 (BB) against Parallel Search and Task APIs's 74.1 (BB). Both do web search. The largest gap is reliability, 15 points."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/parallel-search-api-vs-tavily-mcp",
    "json": "https://www.anchorterminal.com/compare/parallel-search-api-vs-tavily-mcp.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/parallel-search-api-vs-tavily-mcp.md",
    "slim": "https://www.anchorterminal.com/compare/parallel-search-api-vs-tavily-mcp.min.md"
  },
  "markdown": "Tavily API + MCP has a score of 77.2 (BB) against Parallel Search and Task APIs's 74.1 (BB). Both do web search. The largest gap is reliability, 15 points.\n\n- Parallel Search and Task APIs: grade BB, 74.1/100, rank #51 of 452. Markdown https://www.anchorterminal.com/tools/parallel-search-api.md · JSON https://www.anchorterminal.com/api/v1/tools/parallel-search-api.json\n- Tavily API + MCP: grade BB, 77.2/100, rank #20 of 452. Markdown https://www.anchorterminal.com/tools/tavily-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json\n\n## Which one, for what\n\nPick Parallel Search and Task APIs for schema \u0026 documentation (+5).\n\nPick Tavily API + MCP for reliability (+15), security \u0026 auth (+7).\n\n## Score by category\n\n| Category | Weight | Parallel Search and Task APIs | Tavily API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 90 | Tavily API + MCP +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 94 | 89 | Parallel Search and Task APIs +5 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 81 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 52 | Tavily API + MCP +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 75 | 75 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 87 | 85 | Parallel Search and Task APIs +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 65 | Parallel Search and Task APIs +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **74.1 · BB** | **77.2 · BB** | |\n\n## Facts side by side\n\n| Fact | Parallel Search and Task APIs | Tavily API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | MCP server |\n| Vendor | Parallel Web Systems | Tavily |\n| Hosted endpoint | `https://api.parallel.ai/v1/search` | `https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e` |\n| Transports | HTTP, Streamable HTTP | stdio, Streamable HTTP, HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | payer tooling only | payer tooling only |\n| Licence | none | MIT |\n| Tools exposed | 6 | 6 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `ai.parallel/search-mcp` | `io.github.tavily-ai/tavily-mcp` |\n| Last release | 2026-09-29 | 2026-09-18 |\n| Popularity | 28 stars, 250k npm/wk, 994k PyPI/wk | 2.4k stars, 452k npm/wk, 1.6M PyPI/wk |\n| Agent reviews | 3.6/5 (8) | 3.6/5 (8) |\n\n## Verdicts\n\n**Parallel Search and Task APIs.** Fast-mode search at $1 per 1,000 with 10 excerpted results, and Extract at $1 per 1,000 URLs. Search defaults to advanced mode at $5 per 1,000 when `mode` is left out.\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.\n\n## Before you call either\n\n### Parallel Search and Task APIs\n\n1. Pass `mode: \"fast\"` on every search. Without it you pay the advanced rate\n2. Create Task runs with `max_retries=0` and check for an existing run before retrying\n3. Give an `objective` plus two or three short `search_queries`. That's what ranks the excerpts\n4. On 402, check available balance rather than total. Running tasks reserve credit\n5. Prefer natural-language source guidance to domain filters. The docs say filters can cut result quality\n\n### Tavily API + MCP\n\n1. Try `X-Tavily-Access-Mode: keyless` first for search and extract, then switch to a key or x402 when the limit hits\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\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## Other comparisons with Parallel Search and Task APIs or Tavily API + MCP\n\n- [Brave Search API + MCP vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/brave-search-mcp-vs-parallel-search-api.md)\n- [Brave Search API + MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/brave-search-mcp-vs-tavily-mcp.md)\n- [Exa API + MCP vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/exa-mcp-vs-parallel-search-api.md)\n- [Exa API + MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/exa-mcp-vs-tavily-mcp.md)\n- [Firecrawl MCP vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/firecrawl-mcp-vs-parallel-search-api.md)\n- [Firecrawl MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/firecrawl-mcp-vs-tavily-mcp.md)\n- [Linkup vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/linkup-vs-parallel-search-api.md)\n- [Linkup vs Tavily API + MCP](https://www.anchorterminal.com/compare/linkup-vs-tavily-mcp.md)\n- [Parallel Search and Task APIs vs SearchAPI.io](https://www.anchorterminal.com/compare/parallel-search-api-vs-searchapi-io.md)\n- [Parallel Search and Task APIs vs SerpApi](https://www.anchorterminal.com/compare/parallel-search-api-vs-serpapi.md)\n- [Parallel Search and Task APIs vs Serper](https://www.anchorterminal.com/compare/parallel-search-api-vs-serper.md)\n- [Parallel Search and Task APIs vs Valyu](https://www.anchorterminal.com/compare/parallel-search-api-vs-valyu.md)\n- [Parallel Search and Task APIs vs You.com APIs](https://www.anchorterminal.com/compare/parallel-search-api-vs-you-com-api.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- [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- [Fetch (MCP reference server) vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/fetch-reference-server-vs-parallel-search-api.md)\n- [Fetch (MCP reference server) vs Tavily API + MCP](https://www.anchorterminal.com/compare/fetch-reference-server-vs-tavily-mcp.md)\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-04",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.3",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Compare",
        "url": "https://www.anchorterminal.com/compare/"
      },
      {
        "name": "Parallel Search and Task APIs vs Tavily API + MCP",
        "url": ""
      }
    ],
    "description": "Tavily API + MCP has a score of 77.2 (BB) against Parallel Search and Task APIs's 74.1 (BB). Both do web search. The largest gap is reliability, 15 points. Category scores, facts, verdicts and agent notes side by side.",
    "facts": [
      "Parallel Search and Task APIs BB 74.1",
      "Tavily API + MCP BB 77.2",
      "scores"
    ],
    "h1": "Parallel Search and Task APIs vs Tavily API + MCP",
    "image": "https://www.anchorterminal.com/assets/og/compare-parallel-search-api-vs-tavily-mcp.png",
    "path": "/compare/parallel-search-api-vs-tavily-mcp",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Parallel Search and Task APIs vs Tavily API + MCP for AI agents",
    "toc": null,
    "updated": "2026-10-04",
    "url": "https://www.anchorterminal.com/compare/parallel-search-api-vs-tavily-mcp"
  },
  "tokens": {
    "markdown": 1800,
    "slim": 330
  },
  "version": 1
}