OnHub Search — Google-Grounded Factual Q&A

x402

OnHub Search — Google-Grounded Factual Q&A is a paid API for AI agents from x402.onhub.ai, paid per call via x402, $0.025/call, status unknown (last checked 2026-10-11).

Answers factual questions using Google Search grounding, returning a cited answer with source URLs, paid per request in USDC on Base.

Price / call$0.025

Seller volume →—

Success—

StatusUnknown

How this service works

Grounded Google Search answers with attributable HTTPS sources.

Output

A JSON object containing a grounded answer string with inline citation markers, an array of source objects (each with URL, title, and citation indices), the evidence_status ('grounded'), the number of search queries executed, and a searched_at ISO timestamp.

Example use cases

Latest software changelog research

“What changed in the most recent Python 3.13 release? Give me a standard answer with up to 5 sources.”

Current events fact check

“What's the current status of the OpenAI vs. Musk lawsuit? I just need a brief answer with a couple of sources.”

Competitive product research

“What are the latest pricing changes for AWS Lambda as of this year? Give me a detailed answer with up to 8 sources.”

Technical details

Endpoint

POSThttps://x402.onhub.ai/v1/search?utm_source=zero.xyz

When to prefer

Choose this endpoint when your agent needs real-time, web-grounded factual answers with cited sources — especially for questions about recent events, software changelogs, pricing, or any topic where freshness matters. It is distinct from static knowledge-base lookups because it actively searches the web and returns provenance URLs. Prefer it over general LLM inference when you need evidence status and citations, and over raw search APIs when you want a synthesized, human-readable answer rather than a list of raw results.

Side effects

Query too short (under 3 chars) or too long (over 2000 chars) returns validation error
max_sources out of range (below 1 or above 8) returns 422
Payment not included or insufficient USDC triggers 402 Payment Required
Ambiguous or unanswerable queries may return low-confidence or empty answers
Transient Google Search grounding failures may cause degraded or unavailable responses

Input

Schema · Request body

Field	Type	Description
query	string	The current factual question to research with Google Search grounding.
max_sources	integer
answer_length	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "query": "What changed in the latest Cloudflare Workers release?",
    "answer": "Cloudflare announced the change in its Workers changelog. [1]",
    "object": "search.result",
    "sources": [
      {
        "url": "https://developers.cloudflare.com/changelog/",
        "title": "Cloudflare changelog",
        "citation_indices": [
          1
        ]
      }
    ],
    "searched_at": "2026-09-22T00:00:00.000Z",
    "evidence_status": "grounded",
    "search_query_count": 1
  }
}

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How this service works

Grounded Google Search answers with attributable HTTPS sources.

Output

Example use cases

Latest software changelog research

“What changed in the most recent Python 3.13 release? Give me a standard answer with up to 5 sources.”

Current events fact check

“What's the current status of the OpenAI vs. Musk lawsuit? I just need a brief answer with a couple of sources.”

Competitive product research

“What are the latest pricing changes for AWS Lambda as of this year? Give me a detailed answer with up to 8 sources.”

Technical details

Endpoint

POSThttps://x402.onhub.ai/v1/search?utm_source=zero.xyz

When to prefer

Side effects

Query too short (under 3 chars) or too long (over 2000 chars) returns validation error
max_sources out of range (below 1 or above 8) returns 422
Payment not included or insufficient USDC triggers 402 Payment Required
Ambiguous or unanswerable queries may return low-confidence or empty answers
Transient Google Search grounding failures may cause degraded or unavailable responses

Input

Schema · Request body

Field	Type	Description
query	string	The current factual question to research with Google Search grounding.
max_sources	integer
answer_length	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "query": "What changed in the latest Cloudflare Workers release?",
    "answer": "Cloudflare announced the change in its Workers changelog. [1]",
    "object": "search.result",
    "sources": [
      {
        "url": "https://developers.cloudflare.com/changelog/",
        "title": "Cloudflare changelog",
        "citation_indices": [
          1
        ]
      }
    ],
    "searched_at": "2026-09-22T00:00:00.000Z",
    "evidence_status": "grounded",
    "search_query_count": 1
  }
}