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AveDaris Vendor Intelligence
x402
AveDaris Vendor Intelligence is a paid API for AI agents from api.avedaris.com, paid per call via x402, $0.04/call, status unknown (last checked 2026-10-27).
Fetches structured intelligence signals about a vendor/company given its name and website URL, including contact details, financial signals, canonical identifiers, and webpage metadata.
Price / call$0.04
Success—
StatusUnknown
How this service works
Company Intelligence for company research and vendor due diligence: send a company name and website (optional question) and get a sourced profile with summary, official-site facts, public contact emails, recent mentions, evidence score, sources and limitations. For company lookup, vendor and supplier checks and KYB pre-screens from public web evidence; no registry, credit or firmographic data. $0.04 USDC per call on Base.
Output
Returns a JSON object with: a vendor object containing canonical name and tokens; signals object with extracted URLs, money references, email addresses, and ISO dates found on the site; website object with HTTP status and final resolved URL; and provenance tracking the originally requested URL.
Example use cases
Pre-purchase vendor due diligence
“Before we integrate this new API provider, can you run vendor intelligence on them — their name is DataStream Inc and their site is datastream.io — I want to see any financial signals, contact emails, and their canonical identifier?”
Agent marketplace vendor enrichment
“I need to enrich our vendor registry with signals for CloudBurst Analytics — their website is cloudburst.ai — pull their canonical name, any URLs, emails, and money-related signals from their site.”
Validating an unknown API vendor
“I came across a vendor called NexaFlow at nexaflow.dev — can you fetch their vendor intelligence to check if their website resolves and see what emails or financial signals are listed there?”
Technical details
Endpoint
POSThttps://api.avedaris.com/v1/paid/vendor-intelligence?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured intelligence about a specific vendor or company, especially to enrich records with contact signals, financial mentions, canonical identifiers, and website reachability. Prefer it over generic web scraping when you want normalized, schema-consistent output across many vendors, and when you are operating within an agentic or autonomous economy context where vendor trust and provenance matter.
Side effects
- Website unreachable or returns non-200 status — website.status will reflect the HTTP error code
- Invalid or malformed URL input — request rejected with validation error
- Vendor name too short or too long — schema validation failure
- No signals extractable from website — signals arrays returned empty
- Domain does not resolve — website fetch fails with connection error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| name | string | Company, vendor, or organization name to research and normalize. |
| objective | string | Optional natural-language research objective from the buying agent. When omitted, AUN produces a general evidence-backed company intelligence profile. |
| websiteUrl | string | Public HTTP(S) official website used as the first-party evidence anchor. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"asOf": "2026-09-29T00:00:00.000Z",
"facts": [
{
"label": "positioning",
"value": "Example public positioning",
"confidence": 0.9
}
],
"company": {
"websiteUrl": "https://example.com/",
"requestedName": "Example, Inc."
},
"sources": [
{
"url": "https://example.com/",
"title": "Official company website"
}
],
"summary": "Evidence-backed company summary.",
"freshness": {
"generatedAt": "2026-09-29T00:00:00.000Z",
"newestExternalMentionAt": "2026-09-28T15:00:00Z"
},
"objective": "Summarize what this company does and surface evidence useful for a supplier-screening decision.",
"fulfillment": {
"decisionId": "00000000-0000-4000-8000-000000000000",
"selectedRoute": "aun_public_web",
"customerSettlementRequiredBeforeLearning": true
},
"limitations": [],
"evidenceQuality": {
"score": 0.8,
"providerCount": 2,
"recentMentionCount": 1,
"independentSourceCount": 2
},
"externalMentions": [
{
"url": "https://news.example/example",
"note": "Recent public metadata match.",
"title": "Recent public mention"
}
]
}
}
}Tags
x402
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