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Hearth x402 Seller Scores
x402
Hearth x402 Seller Scores is a paid API for AI agents from 138-197-15-135.sslip.io, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-31).
Returns ranked x402 API seller scores with trust, relevance, and usage metrics for discovering safe, affordable pay-per-call API endpoints
Price / call$0.005
Success—
StatusUnknown
How this service works
Hearth's seller ranking data, per category (search, scrape, llm, image, enrich, onchain, price, social, weather, geo, audio, security) or free-text q: blended rank score with its parts, 30d paying usage, Hearth's own purchase outcomes (valid-response rate, latency), nightly liveness/payTo probe, and public reputation (402index reliability/uptime, vet402 verdict and settlement record, x402-trust grade), plus drop reasons. $0.005. Free sample: /v1/free/seller-scores?category=search
Output
A JSON object with schema identifier 'hearth.seller-scores.v1', a category string, and an array of ranked sellers each containing the seller URL, price in USD, composite rank score, and sub-scores for trust, index402, and relevance/usage, plus a boolean recommended flag.
Example use cases
Discover cheap LLM inference APIs
“Find me up to 10 x402 LLM APIs priced under $0.03 each, ranked by trust and relevance — I want to pick the most recommended one for my AI pipeline.”
Vet a scraping API before paying
“Before my agent starts calling scrape endpoints, can you pull the Hearth seller scores for x402 scraping APIs under $0.05 so I can see which ones have the best trust scores?”
Find onchain data feeds for a DeFi agent
“I need the top 3 x402 onchain data sellers under $0.01 — show me their rank scores and whether they're recommended so I can wire one into my Base chain agent.”
Technical details
Endpoint
GEThttps://138-197-15-135.sslip.io/v1/x402/seller-scores?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent needs to autonomously select a trustworthy, cost-effective x402 pay-per-call API from a ranked, scored list — especially before spending USDC on an unknown seller. Prefer it over manual API directories when you need trust signals, relevance scoring, and price filtering in a single call.
Side effects
- Invalid category value returns empty or error response
- maxPrice set too low returns zero sellers
- n outside 1-20 range may be clamped or rejected
- No sellers indexed for the queried category returns empty sellers array
- Network or upstream indexing lag may return stale scores
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"schema": "hearth.seller-scores.v1",
"sellers": [
{
"url": "https://seller.example/search",
"priceUsd": 0.005,
"rankScore": 6.1,
"scoreParts": {
"trust": 0.5,
"index402": 0.9,
"relevanceAndUsage": 4.9
},
"recommended": true
}
],
"category": "search"
}
}Tags
x402
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