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SearchMux Answer — AI-Grounded Web Search with Citations
x402
SearchMux Answer — AI-Grounded Web Search with Citations is a paid API for AI agents from searchmux-agent-search.burnzzz0.chatgpt.site, paid per call via x402, $0.079/call, status unknown (last checked 2026-10-11).
Accepts a natural-language question and returns a concise AI-generated answer backed by ranked, cited web results, with provider and cache metadata.
Price / call$0.079
Success—
StatusUnknown
How this service works
Five accountless x402 tools for agent search, evidence, research deltas, and passive API discovery readiness.
Output
Returns a JSON object containing a concise AI-generated answer grounded in web results, an array of ranked results each with URL, title, snippet, and relevance score, plus metadata: whether the response was a cache hit, whether the result is degraded, the underlying provider (e.g. Tavily), a request ID, and a generation timestamp.
Example use cases
Fact-checking a health claim
“I need a grounded answer with sources — is it true that intermittent fasting improves insulin sensitivity? Find me evidence from recent web sources.”
Real-time competitive research
“Search the web and summarize what's been announced recently about OpenAI's new model releases, with links to the actual sources.”
Policy lookup for compliance
“I need a cited, up-to-date answer: what are the current GDPR rules around storing user consent records, with source URLs so I can verify?”
Technical details
Endpoint
POSThttps://searchmux-agent-search.burnzzz0.chatgpt.site/api/answer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a single-call, accountless solution that returns both a synthesized natural-language answer AND ranked cited web sources in one response. It is particularly well-suited for AI agents that need grounded, verifiable answers without managing API keys or accounts — the x402 micropayment model means any agent with USDC can call it immediately. Prefer it over raw search APIs when you want the answer synthesis done server-side, and over LLM-only answers when you need live web citations to back up the response.
Side effects
- Query is too vague or ambiguous, resulting in a low-confidence or degraded answer (degraded: true)
- Provider (Tavily) upstream failure leading to empty or partial results
- Payment not attached or insufficient USDC balance, resulting in HTTP 402
- Cache miss with slow upstream response causing latency spike
- Rate limiting or quota exhaustion on the underlying provider
- Malformed POST body returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| limit | integer | |
| query | string | Search query; persisted only as a SHA-256 hash. |
Output
Schema · Response
{
"type": "json",
"example": {
"route": "answer",
"answer": "A concise answer grounded in the linked results.",
"results": [
{
"url": "https://example.com/result",
"score": 0.98,
"title": "Example result",
"snippet": "A normalized result with source URL."
}
],
"cacheHit": false,
"degraded": false,
"provider": "tavily",
"requestId": "4b0f635f88504ce2aaba",
"generatedAt": "2026-07-24T00:00:00.000Z"
}
}Tags
x402
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