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Valunaria BUS-WEB Multi-Source Research API
x402
Valunaria BUS-WEB Multi-Source Research API is a paid API for AI agents from x402.valunaria.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-18).
Answers a question by extracting and synthesizing information exclusively from a provided set of up to 5 URLs, paid per call via x402/USDC on Base
Price / call$0.25
Success—
StatusUnknown
How this service works
VALUNARIA BUS-WEB web.research.v1
Output
Returns a job object containing a job_id, current status (e.g. 'queued'), a product identifier ('web.research.v1'), an expiry timestamp, a request_id, a polling URL to check job completion, and a one-time bearer token to retrieve the final research result once the job finishes.
Example use cases
Competitive intelligence from curated pages
“I've found 4 competitor product pages. Pull them all together — https://compA.com/pricing, https://compB.com/pricing, https://compC.com/pricing, https://compD.com/features — and tell me: which competitor offers the best value for enterprise plans?”
Regulatory compliance check from official sources
“Here are three regulatory guidance pages from the SEC, FINRA, and the CFTC. Based only on those sources, what are the key reporting obligations for a mid-sized broker-dealer?”
Due diligence synthesis from company filings
“I have links to two 10-K filings and a recent earnings transcript. Using only those sources, summarize the biggest risk factors the company disclosed this year.”
Technical details
Endpoint
POSThttps://x402.valunaria.com/api/v1/web/research?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need answers grounded strictly in a defined set of web sources — avoiding hallucination risk from open-ended generation. It is ideal when you have 1–5 specific URLs you trust and want a synthesized, question-specific answer drawn exclusively from their content. Prefer it over general-purpose LLM queries when source attribution and confinement matter, and over generic web scrapers when you need a synthesized answer rather than raw HTML. The x402/USDC micropayment model makes it suitable for automated, per-call agent workflows without subscription overhead.
Side effects
- Payment failure via x402 prevents job creation
- URLs that are inaccessible, paywalled, or non-HTML may not be extractable
- Question exceeds 4000-character limit returns validation error
- Providing zero or more than 5 URLs fails schema validation
- Job may expire (expires_at) before result is retrieved if polling is too slow
- Bearer result token is single-use and lost if not captured at retrieval time
- Source pages with heavy JavaScript rendering may yield incomplete extractions
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urls | array | |
| question | string | Question answered only from the supplied sources. |
Output
Schema · Response
{
"type": "json",
"example": {
"job_id": "job_example",
"status": "queued",
"product": "web.research.v1",
"expires_at": "2026-01-02T00:00:00.000Z",
"request_id": "req_example",
"status_url": "/api/v1/jobs/job_example",
"result_token": "bearer-token-returned-once"
}
}Tags
x402
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