webPOSTlive
Search-grounded answer
Get a search-grounded answer for a question.
—
$0.01
per call
Success
100%
p50 latency
5.12s
p95 latency
8.00s
Calls (30d)
2
Canonical contract
- Proxy path
/api/proxy/web/answer- Method
- POST
- Selected provider
- stableenrich-exa
- Settlement
- Base USDC · x402
Quickstart
cURL
curl -X POST https://h402-test.hunt.town/api/proxy/web/answer
CLI
h402 call web/answer --json '{ ... }'Sample input
requiredoptional
{ "query": "What is retrieval augmented generation?" }
Sample output
Redacted, from a paid call{ "answer": "Retrieval-augmented generation is a pattern where a system retrieves relevant external information before asking a language model to produce an answer, making responses more current and grounded.", "citations": [ { "id": "https://en.wikipedia.org/wiki/Retrieval-augmented_generation", "title": "Retrieval-augmented generation", "url": "https://en.wikipedia.org/wiki/Retrieval-augmented_generation" }, { "id": "https://research.ibm.com/blog/retrieval-augmented-generation-RAG", "title": "What is retrieval-augmented generation (RAG)? - IBM Research", "url": "https://research.ibm.com/blog/retrieval-augmented-generation-RAG" }, { "id": "https://github.blog/ai-and-ml/generative-ai/what-is-retrieval-augmented-generation-and-what-does-it-do-for-generative-ai", "title": "What is retrieval-augmented generation, and what does it do for generative AI? - The GitHub Blog", "url": "https://github.blog/ai-and-ml/generative-ai/what-is-retrieval-augmented-generation-and-what-does-it-do-for-generative-ai" } ], "meta": { "provider": "stableenrich-exa", "requestId": "redacted" } }
Providers
Candidates competing behind this task. h402 routes each call to the best quality-adjusted option.
stableenrich-exaselected
x402mpptempo
—
- Success
- 100%
- p50
- 5.12s
- Calls
- 2
100%
$0.01$0.010/call
Last successful call: 11d ago· Aggregated by h402 — not the source provider