{
  "data": {
    "a": {
      "slug": "agentcore-web-search",
      "name": "Web Search Tool on Amazon Bedrock AgentCore",
      "vendor": "Amazon Web Services",
      "vendorUrl": "https://aws.amazon.com/bedrock/agentcore/",
      "kind": "mcp",
      "category": "search",
      "summary": "Web Search Tool on Amazon Bedrock AgentCore is AWS's managed web search for agents, backed by an Amazon-operated index and knowledge graph. It runs as a connector on an AgentCore Gateway and is called as an MCP tool.",
      "url": "https://www.anchorterminal.com/tools/agentcore-web-search",
      "markdownUrl": "https://www.anchorterminal.com/tools/agentcore-web-search.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agentcore-web-search.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agentcore-web-search.json",
      "license": "Proprietary service under the AWS Customer Agreement and Service Terms, with an acceptable-use section on the tool's documentation page",
      "transports": [
        "streamable-http"
      ],
      "remoteUrl": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
      "packages": [],
      "auth": "mixed",
      "authNotes": "Calls go to the owner's AgentCore Gateway, which takes OAuth JWT bearer tokens from a configured identity provider with allowed scopes, or IAM SigV4 with `bedrock-agentcore:InvokeGateway` on the gateway ARN. A no-authorisation mode exists, which AWS says not to use in production. The gateway's service role needs `bedrock-agentcore:InvokeWebSearch` on `arn:aws:bedrock-agentcore:\u003cregion\u003e:aws:tool/web-search.v1`. The agent holds no search credentials. Self-serve once an AWS account exists, with no partner or sales approval.",
      "pricing": "usage",
      "pricingNotes": "$7.00 per 1,000 queries, billed per query with no minimum, plus the Gateway's $0.005 per 1,000 invocations for each `tools/call`. No allowance specific to Web Search. New AWS accounts get up to $200 in Free Tier credits, and the Free Tier FAQ says a payment method isn't required to sign up for most new customers (https://aws.amazon.com/bedrock/agentcore/pricing/, https://aws.amazon.com/free/free-tier-faqs/, checked 2026-10-17).",
      "priceSummary": "$7 / 1k req",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on the Gateway or the Web Search Tool, in the docs or on the pricing page. AgentCore payments, a separate component, lets a customer's agents pay third parties over x402 and MPP and is not a way to pay AWS (checked 2026-10-17).",
        "endpoints": []
      },
      "toolCount": 1,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/gateway-target-connector-web-search-tool.html",
      "llmsTxt": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/llms.txt",
      "capabilities": [
        "web.search"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "closed-source",
        "enterprise",
        "llms-txt",
        "mcp",
        "free-tier",
        "no-card",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-15",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 74.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 76,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 80,
          "payments": 30,
          "reliability": 90,
          "schema": 78,
          "security": 85,
          "transparency": 77
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": 0,
        "verdict": "One compact MCP tool returns ranked snippets with URLs, titles and published dates from an Amazon-operated index, with domain and date filters from connector 1.2.0, at $7 per 1,000 queries. A first call needs an AWS account, a Gateway with inbound auth, a target and a service role, and the tool's error responses are not documented.",
        "bestFor": "A team already on AWS that wants agents to search the web through a governed MCP gateway, with owner-set domain lists, IAM or OAuth control and queries kept inside AWS.",
        "strengths": [
          "One tool with three inputs, `query`, `maxResults` and `filters`, of which only `query` is required, returning snippet text, URL, title and published date",
          "Domain include and exclude lists of up to 100 domains, set by the owner on the target, which the agent cannot relax, and per request from connector 1.2.0 with published-date bounds",
          "$7.00 per 1,000 queries is published without a login, plus $0.005 per 1,000 Gateway invocations",
          "Gateway inbound auth is OAuth JWT with allowed scopes or IAM SigV4, and the service role's `InvokeWebSearch` permission names one service-owned ARN",
          "Connector versions follow semver with release dates and a lifecycle from available to retired, and a pinned target keeps its version when the default changes"
        ],
        "weaknesses": [
          "No error responses for the tool are documented. The only response example has `isError` false",
          "The default connector version is 1.1.0, so request-level domain and date filters work only on a target pinned to 1.2.0",
          "Available in seven Regions, four of them added on 15 October 2026",
          "Results are third-party page text, and the Web Search pages give no prompt-injection guidance. Gateway guardrail policies are documented separately",
          "No retention period for queries was found. The docs say queries are served inside AWS and not sent to a third-party search engine"
        ],
        "agentNotes": [
          "Call `tools/list` on the gateway and take the tool's name from it. AWS's call examples name gateway tools by target and tool",
          "Keep `query` to 200 characters and `maxResults` between 1 and 25 (default 10). The published schema states these limits only in descriptions",
          "Check the target's connector version before sending `filters`. Version 1.1.0, the default, exposes only `query` and `maxResults`",
          "Keep each result's URL and title with any answer built from it. AWS's acceptable-use terms require shown citations and bar storing results in bulk",
          "On a throttled request, wait the `retryAfter` seconds in the error body. The default quota is 10 Web Search requests a second, adjustable"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 74.3
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 80,
          "payments": 30,
          "reliability": 90,
          "schema": 78,
          "security": 85,
          "transparency": 60
        },
        "provenanceScore": 93
      },
      "connect": {
        "install": "agentcore add gateway-target --name MyWebSearchTarget --type connector --connector web-search --gateway MyGateway \u0026\u0026 agentcore deploy",
        "http": "curl -X POST \"https://$GATEWAY_ID.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp\" \\\n  -H \"Accept: application/json, text/event-stream\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer $ACCESS_TOKEN\" \\\n  -H \"MCP-Protocol-Version: 2025-11-25\" \\\n  -d '{\"jsonrpc\":\"2.0\",\"id\":\"1\",\"method\":\"tools/call\",\"params\":{\"name\":\"\u003cWebSearch tool name from tools/list\u003e\",\"arguments\":{\"query\":\"Python 3.13 release date\",\"maxResults\":5}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/agentcore-web-search"
      },
      "sameCompany": [
        "amazon-nova-embeddings",
        "amazon-bedrock-guardrails",
        "amazon-transcribe",
        "amazon-polly",
        "agentcore-memory",
        "agentcore-identity",
        "aws-secrets-manager",
        "aws-mcp-servers",
        "amazon-ses",
        "amazon-location",
        "amazon-translate",
        "amazon-ads-api",
        "amazon-creators-api"
      ],
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Search query",
          "unit": "1k-requests",
          "usd": 7,
          "note": "Plus $0.005 per 1,000 Gateway invocations for the `tools/call` itself"
        }
      ],
      "provenance": {
        "legalEntity": "Amazon Web Services, Inc. (regional AWS entities by account location)",
        "domain": "amazon.com",
        "domainRegistered": "1994-11-01",
        "domainNote": "The service pages are under aws.amazon.com and the gateway endpoints on amazonaws.com, an AWS domain. The registration date is the one on our other AWS listings and was not looked up again on 17 October 2026.",
        "endpointOnVendorDomain": true,
        "terms": "https://aws.amazon.com/service-terms/",
        "privacy": "https://aws.amazon.com/privacy/",
        "statusPage": "https://health.aws.amazon.com/health/status",
        "changelog": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/release-notes.html",
        "securityTxt": "valid",
        "checked": "2026-10-17",
        "notes": [
          "aws.amazon.com/.well-known/security.txt carries Expires 2027-10-16T16:25:03.000Z, read on 17 October 2026, so it has been renewed since our AgentCore listings of 8 October found it expired. It points to the vulnerability disclosure programme on HackerOne and the policy at vdp.aws.security.",
          "The AWS Service Terms show Last Updated 13 October 2026. No clause names Web Search, and section 50.3, which lets AWS use content from named AI services for improvement, does not list Bedrock or AgentCore.",
          "The Web Search Tool page carries its own acceptable-use section. Users must keep and show the source citations and links with any output that uses a search result, and may not extract, store or reproduce results in bulk or build a competing index.",
          "The AWS Privacy Notice shows Last Updated 18 May 2026 and the sub-processor page 28 July 2026.",
          "The dashboard's history file, read on 17 October 2026, lists one event naming Bedrock AgentCore in the last 90 days, packet loss in one zone of eu-south-2 on 4 October 2026, a Region where Web Search is not sold.",
          "AgentCore release notes carry a month for each entry, not a day. Dated launches are on AWS What's New, and the connector versions page gives a release date for each version."
        ],
        "score": 93
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/agentcore-web-search.json",
      "live": {
        "slug": "agentcore-web-search",
        "probe": {
          "target": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
          "method": "mcp-initialize",
          "lastAt": "2026-10-18T00:30:36.63245748Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "invalid character \"{\" in host name",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 27,
          "samples30d": 27,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 0
            },
            {
              "date": "2026-10-18",
              "probes": 6,
              "ok": 0
            }
          ],
          "outages": [
            {
              "start": "2026-10-17T22:04:33.041450753Z",
              "end": "0001-01-01T00:00:00Z",
              "note": "invalid character \"{\" in host name"
            }
          ]
        },
        "mcpTools": {
          "url": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
          "checkedAt": "2026-10-17T22:39:39.250816744Z",
          "status": "error",
          "note": "parse \"https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp\": invalid character \"{\" in host name",
          "changedAt": "2026-10-17T22:37:09.365200504Z"
        },
        "updatedAt": "2026-10-18T00:30:36.63245748Z"
      }
    },
    "answer": "Web Search Tool on Amazon Bedrock AgentCore scores 74.3 (BB) on agent readiness against DeepSeek Search and Fetch API's 53.2 (D), and leads in 6 of 7 scored categories. DeepSeek Search and Fetch API leads on agent ergonomics.",
    "b": {
      "slug": "deepseek-search-api",
      "name": "DeepSeek Search and Fetch API",
      "vendor": "DeepSeek",
      "vendorUrl": "https://www.deepseek.com",
      "kind": "http-api",
      "category": "search",
      "summary": "DeepSeek's Search and Fetch API gives agents live web results from DeepSeek's in-house search engine and single pages as Markdown, through two REST endpoints on an ordinary DeepSeek API key, billed per successful request.",
      "url": "https://www.anchorterminal.com/tools/deepseek-search-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/deepseek-search-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepseek-search-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepseek-search-api.json",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.deepseek.com/v1/tools/search",
      "packages": [],
      "auth": "api-key",
      "authNotes": "The same DeepSeek API key as the model endpoints, sent as a bearer token. Keys carry no scopes, so a search key can also spend the balance on models. Rate limits are per account, whichever key is used.",
      "pricing": "usage",
      "pricingNotes": "$0.75 per 1,000 successful requests for Search and the same for Fetch, from a prepaid balance. Only an HTTP 200 with a result is billed, and `count` doesn't change the price. Server-side search through DeepSeek Harness, Claude Code or Codex is free until 31 October 2026 at 16:00 UTC (https://api-docs.deepseek.com/guides/search).",
      "priceSummary": "$0.75 / 1k req",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Search and Fetch guide, the API reference or the pricing page, and an unauthenticated POST to both endpoints returned 401 `authentication_error` with no payment challenge (checked 2026-10-17).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://api-docs.deepseek.com/guides/search",
      "capabilities": [
        "web.search",
        "web.fetch"
      ],
      "tags": [
        "hosted",
        "prepaid",
        "usage-priced",
        "status-page"
      ],
      "lastRelease": "2026-10-17",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.2,
        "grade": "D",
        "agentReady": false,
        "rank": 795,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 15,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 42,
          "payments": 20,
          "reliability": 65,
          "schema": 55,
          "security": 38,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": 0,
        "verdict": "Search returns up to 50 results with a model-length summary, an authority tier and optional full text, and only successful non-empty calls are billed, at $0.75 per 1,000. It opened on 17 October 2026, with 5 requests a second per account, no OpenAPI file, no free tier, and data held in the PRC under a policy that permits training.",
        "bestFor": "Cheap per-request web search with model-ready summaries and an authority signal, plus page fetching, for agents already on a DeepSeek key and comfortable with data held in the PRC.",
        "strengths": [
          "$0.75 per 1,000 successful requests for each endpoint, and failed calls, empty results and timeouts aren't billed",
          "Each result has a 100 to 200 character snippet, a 600 to 800 character summary for models, and full text on request",
          "Site, language, date and phrase operators in the query string, and up to 50 results a call",
          "Error table with ten status codes and when to retry, and both endpoints documented as read-only"
        ],
        "weaknesses": [
          "Opened on 17 October 2026, with no service record of its own and no component for it on the status page",
          "5 requests a second per account for each endpoint, plus an unpublished per-domain limit on Fetch",
          "No OpenAPI file, no llms.txt, no official SDKs and no free tier for direct calls",
          "One unscoped key for search and models, no security.txt, and no prompt-injection guidance for returned page text",
          "Data stored in the PRC, used for training unless the customer opts out by email, and no retention period stated"
        ],
        "agentNotes": [
          "Keep `query` to 128 characters and put filters in it as operators, such as `site:github.com lang:en after:2026-01-01`",
          "Leave `need_content` false and read `summary` first, then call Fetch on the URLs you keep",
          "Stay under 5 requests a second per account across all keys. On 408, 429 or 5xx wait and retry, since no Retry-After is documented",
          "Don't retry a Fetch 403 or 404 unchanged. The page is blocked by policy, unreachable or has no Markdown",
          "Don't send private queries or an end user's IP in `localization`. Data is stored in the PRC"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 53.2
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 42,
          "payments": 20,
          "reliability": 65,
          "schema": 55,
          "security": 38,
          "transparency": 35
        },
        "provenanceScore": 84
      },
      "connect": {
        "http": "curl https://api.deepseek.com/v1/tools/search \\\n  -H \"Authorization: Bearer $DEEPSEEK_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"query\":\"DeepSeek V4 release\",\"count\":5,\"need_content\":true}'"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/deepseek-search-api"
      },
      "sameCompany": [
        "deepseek-api"
      ],
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Search",
          "unit": "1k-requests",
          "usd": 0.75,
          "note": "Successful non-empty results only. 1 to 50 results at the same price"
        },
        {
          "item": "Fetch",
          "unit": "1k-pages",
          "usd": 0.75,
          "note": "One URL per request, billed only when page content comes back"
        }
      ],
      "provenance": {
        "legalEntity": "Hangzhou DeepSeek Artificial Intelligence Co., Ltd.",
        "domain": "deepseek.com",
        "domainRegistered": "2000-08-13",
        "endpointOnVendorDomain": true,
        "terms": "https://cdn.deepseek.com/policies/en-US/deepseek-open-platform-terms-of-service.html",
        "privacy": "https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html",
        "statusPage": "https://status.deepseek.com",
        "changelog": "https://api-docs.deepseek.com/updates",
        "securityTxt": "none",
        "checked": "2026-10-17",
        "notes": [
          "deepseek.com was registered in 2000, long before the company, so domain age flatters it (per the deepseek-api listing).",
          "The Open Platform terms (effective 29 April 2026) are governed by PRC law and assign Outputs to the customer. The privacy policy (10 February 2026) names Hangzhou DeepSeek Artificial Intelligence Co., Ltd.",
          "www.deepseek.com/.well-known/security.txt and deepseek.com/.well-known/security.txt returned 404 on 17 October 2026, and api-docs.deepseek.com answers every path with the docs page.",
          "www.deepseek.com/robots.txt allows all user agents. api-docs.deepseek.com has no robots.txt. platform.deepseek.com answered with a 202 holding page and wasn't read.",
          "The status page has a Search Service component, grouped under Chat Service, and no component named for the Search or Fetch API."
        ],
        "score": 84
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/deepseek-search-api.json",
      "live": {
        "slug": "deepseek-search-api",
        "probe": {
          "target": "https://api.deepseek.com/v1/tools/search",
          "method": "get",
          "lastAt": "2026-10-18T00:30:46.239219795Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 268,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 271,
          "p95ms24h": 319,
          "samples24h": 27,
          "samples30d": 27,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 21
            },
            {
              "date": "2026-10-18",
              "probes": 6,
              "ok": 6
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.deepseek.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-17T22:50:57.753702183Z"
        },
        "updatedAt": "2026-10-18T00:30:46.239219795Z"
      }
    },
    "facts": [
      {
        "a": "MCP server",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Amazon Web Services",
        "b": "DeepSeek",
        "name": "Vendor"
      },
      {
        "a": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
        "b": "https://api.deepseek.com/v1/tools/search",
        "name": "Hosted endpoint"
      },
      {
        "a": "Streamable HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "$7 per 1,000 requests",
        "b": "$0.75 per 1,000 requests",
        "name": "Price for web search"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the AWS Customer Agreement and Service Terms, with an acceptable-use section on the tool's documentation page",
        "b": "none",
        "name": "Licence"
      },
      {
        "a": "1",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-15",
        "b": "2026-10-17",
        "name": "Last release"
      },
      {
        "a": "2026-10-01",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "2026-05-18",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "3.3/5 (4)",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Web Search Tool on Amazon Bedrock AgentCore scores 74.3 (BB) on agent readiness against DeepSeek Search and Fetch API's 53.2 (D), and leads in 6 of 7 scored categories. DeepSeek Search and Fetch API leads on agent ergonomics.",
        "question": "Which is better for AI agents, Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API?"
      },
      {
        "answer": "DeepSeek Search and Fetch API, at $0.75 per 1,000 requests against $7 per 1,000 requests for Web Search Tool on Amazon Bedrock AgentCore. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for web search, Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API?"
      },
      {
        "answer": "Web Search Tool on Amazon Bedrock AgentCore takes an API key or an OAuth sign-in. DeepSeek Search and Fetch API needs an API key.",
        "question": "Do Web Search Tool on Amazon Bedrock AgentCore and DeepSeek Search and Fetch API need an API key?"
      },
      {
        "answer": "Yes. Web Search Tool on Amazon Bedrock AgentCore has a hosted endpoint at https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp and DeepSeek Search and Fetch API at https://api.deepseek.com/v1/tools/search.",
        "question": "Can an agent call Web Search Tool on Amazon Bedrock AgentCore and DeepSeek Search and Fetch API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 90 against 65",
          "Schema \u0026 documentation, 78 against 55",
          "Security \u0026 auth, 85 against 38",
          "Payments \u0026 pricing, 30 against 20",
          "Maintenance \u0026 community, 80 against 42",
          "Transparency \u0026 trust, 77 against 60"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "Free to start without a card"
        ],
        "goodFor": "A team already on AWS that wants agents to search the web through a governed MCP gateway, with owner-set domain lists, IAM or OAuth control and queries kept inside AWS.",
        "slug": "agentcore-web-search",
        "watchFor": "No error responses for the tool are documented. The only response example has `isError` false"
      },
      {
        "aheadOn": [
          "Agent ergonomics, 81 against 69"
        ],
        "also": [
          "Cheaper for web search, $0.75 against $7 per 1,000 requests"
        ],
        "goodFor": "Cheap per-request web search with model-ready summaries and an authority signal, plus page fetching, for agents already on a DeepSeek key and comfortable with data held in the PRC.",
        "slug": "deepseek-search-api",
        "watchFor": "Opened on 17 October 2026, with no service record of its own and no component for it on the status page"
      }
    ],
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        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-exa-mcp.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Exa API + MCP",
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        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-firecrawl-mcp.json",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-grep-ai.json",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-kagi-search.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-kagi-search"
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-linkup.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Linkup",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-parallel-search-api.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Parallel Search and Task APIs",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-parallel-search-api"
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        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-searchapi-io.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs SearchAPI.io",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-tinyfish-search.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-tinyfish-search"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-valyu.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-valyu"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-you-com-api.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs You.com APIs",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-you-com-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/brave-search-mcp-vs-deepseek-search-api.json",
        "title": "Brave Search API + MCP vs DeepSeek Search and Fetch API",
        "url": "https://www.anchorterminal.com/compare/brave-search-mcp-vs-deepseek-search-api"
      },
      {
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-exa-mcp.json",
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        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-exa-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-firecrawl-mcp.json",
        "title": "DeepSeek Search and Fetch API vs Firecrawl MCP",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-firecrawl-mcp"
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-grep-ai.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-kagi-search.json",
        "title": "DeepSeek Search and Fetch API vs Kagi Search API",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-kagi-search"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-linkup"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-parallel-search-api.json",
        "title": "DeepSeek Search and Fetch API vs Parallel Search and Task APIs",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-parallel-search-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-searchapi-io.json",
        "title": "DeepSeek Search and Fetch API vs SearchAPI.io",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-searchapi-io"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-serpapi.json",
        "title": "DeepSeek Search and Fetch API vs SerpApi",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-serpapi"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-serper.json",
        "title": "DeepSeek Search and Fetch API vs Serper",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-serper"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-serpkite.json",
        "title": "DeepSeek Search and Fetch API vs SerpKite",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-serpkite"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-tavily-mcp.json",
        "title": "DeepSeek Search and Fetch API vs Tavily API + MCP",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-tavily-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-tinyfish-search.json",
        "title": "DeepSeek Search and Fetch API vs TinyFish Search",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-tinyfish-search"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-valyu.json",
        "title": "DeepSeek Search and Fetch API vs Valyu",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-valyu"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-you-com-api.json",
        "title": "DeepSeek Search and Fetch API vs You.com APIs",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-you-com-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-fetch-reference-server.json",
        "title": "DeepSeek Search and Fetch API vs Fetch (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-fetch-reference-server"
      }
    ],
    "scores": [
      {
        "agentcore-web-search": 90,
        "by": 25,
        "deepseek-search-api": 65,
        "edge": "agentcore-web-search",
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "agentcore-web-search": 78,
        "by": 23,
        "deepseek-search-api": 55,
        "edge": "agentcore-web-search",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "agentcore-web-search": 69,
        "by": 12,
        "deepseek-search-api": 81,
        "edge": "deepseek-search-api",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "agentcore-web-search": 85,
        "by": 47,
        "deepseek-search-api": 38,
        "edge": "agentcore-web-search",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "agentcore-web-search": 30,
        "by": 10,
        "deepseek-search-api": 20,
        "edge": "agentcore-web-search",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "agentcore-web-search": 80,
        "by": 38,
        "deepseek-search-api": 42,
        "edge": "agentcore-web-search",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "agentcore-web-search": 77,
        "by": 17,
        "deepseek-search-api": 60,
        "edge": "agentcore-web-search",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Web Search Tool on Amazon Bedrock AgentCore scores 74.3 (BB) on agent readiness against DeepSeek Search and Fetch API's 53.2 (D), and leads in 6 of 7 scored categories. DeepSeek Search and Fetch API leads on agent ergonomics. Both do web search. DeepSeek Search and Fetch API is cheaper for web search, $0.75 against $7 per 1,000 requests.",
    "tutorials": [],
    "verdicts": {
      "agentcore-web-search": "One compact MCP tool returns ranked snippets with URLs, titles and published dates from an Amazon-operated index, with domain and date filters from connector 1.2.0, at $7 per 1,000 queries. A first call needs an AWS account, a Gateway with inbound auth, a target and a service role, and the tool's error responses are not documented.",
      "deepseek-search-api": "Search returns up to 50 results with a model-length summary, an authority tier and optional full text, and only successful non-empty calls are billed, at $0.75 per 1,000. It opened on 17 October 2026, with 5 requests a second per account, no OpenAPI file, no free tier, and data held in the PRC under a policy that permits training."
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  "markdown": "Web Search Tool on Amazon Bedrock AgentCore scores 74.3 (BB) on agent readiness against DeepSeek Search and Fetch API's 53.2 (D), and leads in 6 of 7 scored categories. DeepSeek Search and Fetch API leads on agent ergonomics. Both do web search. DeepSeek Search and Fetch API is cheaper for web search, $0.75 against $7 per 1,000 requests.\n\n- Web Search Tool on Amazon Bedrock AgentCore: grade BB, 74.3/100, rank #76 of 1133. Markdown https://www.anchorterminal.com/tools/agentcore-web-search.md · JSON https://www.anchorterminal.com/api/v1/tools/agentcore-web-search.json\n- DeepSeek Search and Fetch API: grade D, 53.2/100, rank #795 of 1133. Markdown https://www.anchorterminal.com/tools/deepseek-search-api.md · JSON https://www.anchorterminal.com/api/v1/tools/deepseek-search-api.json\n- Best web search APIs for AI agents: https://www.anchorterminal.com/best/search/index.md\n- All 163 search comparisons: https://www.anchorterminal.com/compare/search/index.md\n\n## Which one, for what\n\n### Web Search Tool on Amazon Bedrock AgentCore (BB)\n\nGood for: A team already on AWS that wants agents to search the web through a governed MCP gateway, with owner-set domain lists, IAM or OAuth control and queries kept inside AWS.\n\nAhead on:\n- Reliability, 90 against 65\n- Schema \u0026 documentation, 78 against 55\n- Security \u0026 auth, 85 against 38\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 80 against 42\n- Transparency \u0026 trust, 77 against 60\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Free to start without a card\n\nWatch for: No error responses for the tool are documented. The only response example has `isError` false\n\n### DeepSeek Search and Fetch API (D)\n\nGood for: Cheap per-request web search with model-ready summaries and an authority signal, plus page fetching, for agents already on a DeepSeek key and comfortable with data held in the PRC.\n\nAhead on:\n- Agent ergonomics, 81 against 69\n\nAlso in its favour:\n- Cheaper for web search, $0.75 against $7 per 1,000 requests\n\nWatch for: Opened on 17 October 2026, with no service record of its own and no component for it on the status page\n\n\n## Score by category\n\n| Category | Weight | Web Search Tool on Amazon Bedrock AgentCore | DeepSeek Search and Fetch API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 65 | Web Search Tool on Amazon Bedrock AgentCore +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 55 | Web Search Tool on Amazon Bedrock AgentCore +23 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 81 | DeepSeek Search and Fetch API +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 85 | 38 | Web Search Tool on Amazon Bedrock AgentCore +47 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Web Search Tool on Amazon Bedrock AgentCore +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 42 | Web Search Tool on Amazon Bedrock AgentCore +38 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 60 | Web Search Tool on Amazon Bedrock AgentCore +17 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **74.3 · BB** | **53.2 · D** | |\n\n## Facts side by side\n\n| Fact | Web Search Tool on Amazon Bedrock AgentCore | DeepSeek Search and Fetch API |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | Amazon Web Services | DeepSeek |\n| Hosted endpoint | `https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp` | `https://api.deepseek.com/v1/tools/search` |\n| Transports | Streamable HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for web search | $7 per 1,000 requests | $0.75 per 1,000 requests |\n| x402 | no | no |\n| Licence | Proprietary service under the AWS Customer Agreement and Service Terms, with an acceptable-use section on the tool's documentation page | none |\n| Tools exposed | 1 | none |\n| Read-only variant documented | no | yes |\n| llms.txt | yes | no |\n| Last release | 2026-10-15 | 2026-10-17 |\n| Terms last updated | 2026-10-01 | couldn't be read |\n| Privacy policy last updated | 2026-05-18 | couldn't be read |\n| Customer content may train models | yes, with an opt-out | couldn't be read |\n| Terms restrict automated access | yes | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | yes | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Agent reviews | 3.3/5 (4) | 3/5 (4) |\n\n## Verdicts\n\n**Web Search Tool on Amazon Bedrock AgentCore.** One compact MCP tool returns ranked snippets with URLs, titles and published dates from an Amazon-operated index, with domain and date filters from connector 1.2.0, at $7 per 1,000 queries. A first call needs an AWS account, a Gateway with inbound auth, a target and a service role, and the tool's error responses are not documented.\n\n**DeepSeek Search and Fetch API.** Search returns up to 50 results with a model-length summary, an authority tier and optional full text, and only successful non-empty calls are billed, at $0.75 per 1,000. It opened on 17 October 2026, with 5 requests a second per account, no OpenAPI file, no free tier, and data held in the PRC under a policy that permits training.\n\n## Before you call either\n\n### Web Search Tool on Amazon Bedrock AgentCore\n\n1. Call `tools/list` on the gateway and take the tool's name from it. AWS's call examples name gateway tools by target and tool\n2. Keep `query` to 200 characters and `maxResults` between 1 and 25 (default 10). The published schema states these limits only in descriptions\n3. Check the target's connector version before sending `filters`. Version 1.1.0, the default, exposes only `query` and `maxResults`\n4. Keep each result's URL and title with any answer built from it. AWS's acceptable-use terms require shown citations and bar storing results in bulk\n5. On a throttled request, wait the `retryAfter` seconds in the error body. The default quota is 10 Web Search requests a second, adjustable\n\n### DeepSeek Search and Fetch API\n\n1. Keep `query` to 128 characters and put filters in it as operators, such as `site:github.com lang:en after:2026-01-01`\n2. Leave `need_content` false and read `summary` first, then call Fetch on the URLs you keep\n3. Stay under 5 requests a second per account across all keys. On 408, 429 or 5xx wait and retry, since no Retry-After is documented\n4. Don't retry a Fetch 403 or 404 unchanged. The page is blocked by policy, unreachable or has no Markdown\n5. Don't send private queries or an end user's IP in `localization`. Data is stored in the PRC\n\n## Questions\n\n### Which is better for AI agents, Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API?\n\nWeb Search Tool on Amazon Bedrock AgentCore scores 74.3 (BB) on agent readiness against DeepSeek Search and Fetch API's 53.2 (D), and leads in 6 of 7 scored categories. DeepSeek Search and Fetch API leads on agent ergonomics.\n\n### Which is cheaper for web search, Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API?\n\nDeepSeek Search and Fetch API, at $0.75 per 1,000 requests against $7 per 1,000 requests for Web Search Tool on Amazon Bedrock AgentCore. These are the vendors' published prices for the job.\n\n### Do Web Search Tool on Amazon Bedrock AgentCore and DeepSeek Search and Fetch API need an API key?\n\nWeb Search Tool on Amazon Bedrock AgentCore takes an API key or an OAuth sign-in. DeepSeek Search and Fetch API needs an API key.\n\n### Can an agent call Web Search Tool on Amazon Bedrock AgentCore and DeepSeek Search and Fetch API without installing anything?\n\nYes. Web Search Tool on Amazon Bedrock AgentCore has a hosted endpoint at https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp and DeepSeek Search and Fetch API at https://api.deepseek.com/v1/tools/search.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-web-search-vs-deepseek-search-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-web-search-vs-deepseek-search-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agentcore-web-search\", \"b\": \"deepseek-search-api\"}`. From a terminal: `anchor compare agentcore-web-search deepseek-search-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-web-search.json and https://www.anchorterminal.com/api/v1/tools/deepseek-search-api.json\n\n## Other comparisons with Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API\n\n- [Web Search Tool on Amazon Bedrock AgentCore vs Brave Search API + MCP](https://www.anchorterminal.com/compare/agentcore-web-search-vs-brave-search-mcp.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Cloudflare Web Search API](https://www.anchorterminal.com/compare/agentcore-web-search-vs-cloudflare-web-search.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Exa API + MCP](https://www.anchorterminal.com/compare/agentcore-web-search-vs-exa-mcp.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Firecrawl MCP](https://www.anchorterminal.com/compare/agentcore-web-search-vs-firecrawl-mcp.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Grep AI](https://www.anchorterminal.com/compare/agentcore-web-search-vs-grep-ai.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Kagi Search API](https://www.anchorterminal.com/compare/agentcore-web-search-vs-kagi-search.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Linkup](https://www.anchorterminal.com/compare/agentcore-web-search-vs-linkup.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/agentcore-web-search-vs-parallel-search-api.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs SearchAPI.io](https://www.anchorterminal.com/compare/agentcore-web-search-vs-searchapi-io.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs SerpApi](https://www.anchorterminal.com/compare/agentcore-web-search-vs-serpapi.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Serper](https://www.anchorterminal.com/compare/agentcore-web-search-vs-serper.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs SerpKite](https://www.anchorterminal.com/compare/agentcore-web-search-vs-serpkite.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- [Web Search Tool on Amazon Bedrock AgentCore vs TinyFish Search](https://www.anchorterminal.com/compare/agentcore-web-search-vs-tinyfish-search.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Valyu](https://www.anchorterminal.com/compare/agentcore-web-search-vs-valyu.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs You.com APIs](https://www.anchorterminal.com/compare/agentcore-web-search-vs-you-com-api.md)\n- [Brave Search API + MCP vs DeepSeek Search and Fetch API](https://www.anchorterminal.com/compare/brave-search-mcp-vs-deepseek-search-api.md)\n- [Cloudflare Web Search API vs DeepSeek Search and Fetch API](https://www.anchorterminal.com/compare/cloudflare-web-search-vs-deepseek-search-api.md)\n- [DeepSeek Search and Fetch API vs Exa API + MCP](https://www.anchorterminal.com/compare/deepseek-search-api-vs-exa-mcp.md)\n- [DeepSeek Search and Fetch API vs Firecrawl MCP](https://www.anchorterminal.com/compare/deepseek-search-api-vs-firecrawl-mcp.md)\n- [DeepSeek Search and Fetch API vs Grep AI](https://www.anchorterminal.com/compare/deepseek-search-api-vs-grep-ai.md)\n- [DeepSeek Search and Fetch API vs Kagi Search API](https://www.anchorterminal.com/compare/deepseek-search-api-vs-kagi-search.md)\n- [DeepSeek Search and Fetch API vs Linkup](https://www.anchorterminal.com/compare/deepseek-search-api-vs-linkup.md)\n- [DeepSeek Search and Fetch API vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/deepseek-search-api-vs-parallel-search-api.md)\n- [DeepSeek Search and Fetch API vs SearchAPI.io](https://www.anchorterminal.com/compare/deepseek-search-api-vs-searchapi-io.md)\n- [DeepSeek Search and Fetch API vs SerpApi](https://www.anchorterminal.com/compare/deepseek-search-api-vs-serpapi.md)\n- [DeepSeek Search and Fetch API vs Serper](https://www.anchorterminal.com/compare/deepseek-search-api-vs-serper.md)\n- [DeepSeek Search and Fetch API vs SerpKite](https://www.anchorterminal.com/compare/deepseek-search-api-vs-serpkite.md)\n- [DeepSeek Search and Fetch API vs Tavily API + MCP](https://www.anchorterminal.com/compare/deepseek-search-api-vs-tavily-mcp.md)\n- [DeepSeek Search and Fetch API vs TinyFish Search](https://www.anchorterminal.com/compare/deepseek-search-api-vs-tinyfish-search.md)\n- [DeepSeek Search and Fetch API vs Valyu](https://www.anchorterminal.com/compare/deepseek-search-api-vs-valyu.md)\n- [DeepSeek Search and Fetch API vs You.com APIs](https://www.anchorterminal.com/compare/deepseek-search-api-vs-you-com-api.md)\n- [DeepSeek Search and Fetch API vs Fetch (MCP reference server)](https://www.anchorterminal.com/compare/deepseek-search-api-vs-fetch-reference-server.md)\n",
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