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unprice Commerce Page Audit
x402
unprice Commerce Page Audit is a paid API for AI agents from volkov.evgeny.m2.fvds.ru, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-14).
Audits a commerce/product page URL and returns a structured score indicating how agent-readable and structured its commerce data is (JSON-LD, Open Graph, microdata, price signals, etc.)
Price / call$0.025
Success—
StatusUnknown
How this service works
Tiny paid web services for agents. Pay per request with USDC on Base via x402, plus non-x402 Base USDC tx-hash checkouts for Merchant Feed Audit, Base USDC receipts, and recent wallet statements.
Output
Returns a JSON object with the audited URL, a numeric score (0-100) representing how many structured commerce data checks passed, a human-readable summary, a verdict (e.g. 'needs_review' or 'pass'), and an array of recommendations for fixing any failing checks.
Example use cases
Pre-launch product page readiness check
“Before I launch this product page at https://myshop.com/widgets/blue-widget, can you audit it and tell me if the structured commerce data is good enough for AI agents to read the price, currency, and product details correctly?”
Diagnosing why agent can't read listing
“My AI shopping agent is failing to extract price info from https://store.example.com/items/sneaker-42 — can you run a commerce page audit and tell me what's missing or mismatched in the structured data?”
Merchant feed quality review
“I want to know if https://boutique.co/collections/summer-dress passes the structured commerce data checks — score it and give me recommendations so I can fix any issues with the JSON-LD or Open Graph tags.”
Technical details
Endpoint
GEThttps://volkov.evgeny.m2.fvds.ru/pay/commerce-page-auditWhen to prefer
Use this endpoint when you need a fast, scored, actionable audit of whether a specific commerce/product page exposes machine-readable structured data (JSON-LD, Open Graph, microdata, visible price signals) that AI agents and feed parsers can reliably consume. Prefer this over generic HTML scrapers or SEO tools when the goal is specifically agent-readability and commerce metadata completeness rather than general SEO health.
Side effects
- Invalid or unreachable URL returns an error or low score with no meaningful recommendations
- Pages behind login walls or paywalls cannot be fetched, resulting in incomplete audit
- Missing 'url' query parameter causes a bad request error
- Pages with heavy JavaScript rendering may not expose structured data at crawl time, leading to false negatives
- Rate limiting or payment failure (x402) blocks the request entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://example.com/product",
"score": 88,
"summary": "8/9 checks passed for agent-readable commerce data.",
"verdict": "needs_review",
"recommendations": [
"Make JSON-LD, Open Graph product meta, microdata, and visible price/currency signals agree."
]
}
}Tags
x402
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