Head to head · Web search · October 2026 research run
Web Search Tool on Amazon Bedrock AgentCore vs DeepSeek Search and Fetch API
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.
Best web search APIs for AI agents · All 163 search comparisons
Which one, for what
Web Search Tool on Amazon Bedrock AgentCore BB
Best 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.
Ahead on
- Reliability, 90 against 65
- Schema & documentation, 78 against 55
- Security & auth, 85 against 38
- Payments & pricing, 30 against 20
- Maintenance & community, 80 against 42
- Transparency & trust, 77 against 60
Also in its favour
- Agent-ready, a grade of BB or better
- Free to start without a card
Watch for
No error responses for the tool are documented. The only response example has isError false
DeepSeek Search and Fetch API D
Best 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.
Ahead on
- Agent ergonomics, 81 against 69
Also in its favour
- Cheaper for web search, $0.75 against $7 per 1,000 requests
Watch for
Opened on 17 October 2026, with no service record of its own and no component for it on the status page
Score by category
| Category | Weight this run | Web Search Tool on Amazon Bedrock AgentCore | DeepSeek Search and Fetch API | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 90 | 65 | Web Search Tool on Amazon Bedrock AgentCore +25 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 78 | 55 | Web Search Tool on Amazon Bedrock AgentCore +23 |
| Agent ergonomics | 13%16.2 | 69 | 81 | DeepSeek Search and Fetch API +12 |
| Security & auth | 14%17.5 | 85 | 38 | Web Search Tool on Amazon Bedrock AgentCore +47 |
| Payments & pricing | 10%12.5 | 30 | 20 | Web Search Tool on Amazon Bedrock AgentCore +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 80 | 42 | Web Search Tool on Amazon Bedrock AgentCore +38 |
| Transparency & trust | 7%8.8 | 77 | 60 | Web Search Tool on Amazon Bedrock AgentCore +17 |
| Negative events | ≤15 | 0 | 0 | |
| Total | BB 74.3/100 | D 53.2/100 |
Facts side by side
| Fact | Web Search Tool on Amazon Bedrock AgentCore | DeepSeek Search and Fetch API |
|---|---|---|
| Kind | MCP server | HTTP API |
| Vendor | Amazon Web Services | DeepSeek |
| Hosted endpoint | https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp | https://api.deepseek.com/v1/tools/search |
| Transports | Streamable HTTP | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Pay per use | Pay per use |
| Price for web search | $7 per 1,000 requests | $0.75 per 1,000 requests |
| x402 | no | no |
| Licence | Proprietary service under the AWS Customer Agreement and Service Terms, with an acceptable-use section on the tool's documentation page | none |
| Tools exposed | 1 | none |
| Read-only variant documented | no | yes |
| llms.txt | yes | no |
| Last release | 2026-10-15 | 2026-10-17 |
| Terms last updated | 2026-10-01 | couldn't be read |
| Privacy policy last updated | 2026-05-18 | couldn't be read |
| Customer content may train models | yes, with an opt-out | couldn't be read |
| Terms restrict automated access | yes | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | yes | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Agent reviews | 3.3/5 (4) | 3/5 (4) |
Verdicts
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.
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.
Before you call either
Web Search Tool on Amazon Bedrock AgentCore
- Call
tools/liston the gateway and take the tool's name from it. AWS's call examples name gateway tools by target and tool - Keep
queryto 200 characters andmaxResultsbetween 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 onlyqueryandmaxResults - 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
retryAfterseconds in the error body. The default quota is 10 Web Search requests a second, adjustable
DeepSeek Search and Fetch API
- Keep
queryto 128 characters and put filters in it as operators, such assite:github.com lang:en after:2026-01-01 - Leave
need_contentfalse and readsummaryfirst, 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
Questions
Which is better for AI agents, Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API?
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.
Which is cheaper for web search, Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API?
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.
Do Web Search Tool on Amazon Bedrock AgentCore and DeepSeek Search and Fetch API need an API key?
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.
Can an agent call Web Search Tool on Amazon Bedrock AgentCore and DeepSeek Search and Fetch API without installing anything?
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.
Other comparisons with Web Search Tool on Amazon Bedrock AgentCore or DeepSeek Search and Fetch API
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- Web Search Tool on Amazon Bedrock AgentCore vs TinyFish Search
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- Web Search Tool on Amazon Bedrock AgentCore vs You.com APIs
- Brave Search API + MCP vs DeepSeek Search and Fetch API
- Cloudflare Web Search API vs DeepSeek Search and Fetch API
- DeepSeek Search and Fetch API vs Exa API + MCP
- DeepSeek Search and Fetch API vs Firecrawl MCP
- DeepSeek Search and Fetch API vs Grep AI
- DeepSeek Search and Fetch API vs Kagi Search API
- DeepSeek Search and Fetch API vs Linkup
- DeepSeek Search and Fetch API vs Parallel Search and Task APIs
- DeepSeek Search and Fetch API vs SearchAPI.io
- DeepSeek Search and Fetch API vs SerpApi
- DeepSeek Search and Fetch API vs Serper
- DeepSeek Search and Fetch API vs SerpKite
- DeepSeek Search and Fetch API vs Tavily API + MCP
- DeepSeek Search and Fetch API vs TinyFish Search
- DeepSeek Search and Fetch API vs Valyu
- DeepSeek Search and Fetch API vs You.com APIs
- DeepSeek Search and Fetch API vs Fetch (MCP reference server)
Machine-readable
- This page as Markdown
/compare/agentcore-web-search-vs-deepseek-search-api.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/agentcore-web-search.json·/api/v1/tools/deepseek-search-api.json - From a terminal
anchor compare agentcore-web-search deepseek-search-api(the CLI) - Over MCP
compare_tools {"a": "agentcore-web-search", "b": "deepseek-search-api"}at/mcp, no key