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HubVibe Company Research Brief
x402
HubVibe Company Research Brief is a paid API for AI agents from hubvibe-io.com, paid per call via x402, $10/call, status unknown (last checked 2026-10-27).
Generates a cited research brief on a company from live web sources, covering what it does, its products, and notable facts, with source transparency.
Price / call$10
Success—
StatusUnknown
How this service works
Company research report: what a company does, its products and anything notable, from the live web (official site and Wikipedia first) and recent GDELT news, every claim cited to a numbered source, thin or conflicting evidence disclosed. Use it for due diligence, sales prep and competitor research. Input: company name; optional max_sources. Structured firmographics in one cheap call: company.enrich.
Output
A written research brief covering the company's business description, products/services, and notable facts or news, with inline citations referencing numbered sources. Thin or conflicting evidence is explicitly flagged rather than smoothed over.
Example use cases
Pre-meeting competitor deep dive
“I have a call with a potential partner tomorrow. Can you research Airtable — what they do, their key products, and anything notable about them — using up to 4 sources and citing each one?”
Startup due diligence for investors
“We're evaluating an investment in Perplexity AI. Can you put together a sourced research brief on what the company does, its products, and any notable news, and flag any areas where the evidence is thin or conflicting?”
Quick company background before sales outreach
“Before I reach out to Figma's enterprise team, can you give me a quick cited overview of what Figma does and its main products, using 2 live web sources?”
Technical details
Endpoint
POSThttps://hubvibe-io.com/work/research/company?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a sourced, narrative company overview drawn from live web content rather than a static database. It is especially valuable when you need transparency about evidence quality — the endpoint explicitly flags thin or conflicting information rather than presenting uncertain facts as settled. Prefer it over generic web search when you want a synthesized brief with numbered citations rather than raw search results.
Side effects
- Company name too generic or ambiguous — may return results for wrong entity
- Insufficient live web coverage for obscure companies — brief may note thin evidence
- max_sources out of range (not 1-4) — may default or error
- Network/crawl failures for live sources — partial or no results returned
- Conflicting web sources may reduce confidence in specific claims
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| company | string | |
| language | string | |
| max_sources | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"news": [],
"model": "gemini-2.5-flash",
"report": "Anthropic is an AI safety company that builds the Claude model family [1]...",
"company": "Anthropic",
"partial": [],
"sources": [
{
"n": 1,
"url": "https://example.com/about",
"title": "About Example"
}
],
"news_note": "Headlines unavailable for this call: gdelt:query: BigQuery did not finish within 60s"
},
"status": "ok",
"worker": "research.company",
"price_usd": 10,
"provenance": {
"steps": [
{
"ms": 640,
"ok": true,
"step": "company",
"provider": "brave"
}
],
"attempts": 1,
"elapsed_ms": 660,
"providers_used": [
"brave"
]
},
"receipt_id": "rcpt_9f1c2b3a4d5e6f70",
"receipt_url": "/work/receipts/rcpt_9f1c2b3a4d5e6f70"
}
}Tags
x402
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