AgentIndex x402 – Structured Data Extraction

x402

AgentIndex x402 – Structured Data Extraction is a paid API for AI agents from x402.agentindex.world, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Extracts structured fields from a URL or raw text according to a caller-supplied JSON Schema, returning a strictly conforming data object.

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

Process the files and content an agent gives you. Nothing else. A pay-per-call kit for AI agents in USDC on Base (x402/MPP): pdf, web-read, extract, summarize, and the free detect-language entry point - see GET /capabilities. Plus two tools outside the kit: translate and jobs.

Output

A JSON object whose `data` field strictly conforms to the JSON Schema you supplied. For example, {"data":{"price":29.99,"in_stock":true,"product_name":"Widget Pro"}}. Fields are typed and validated against your schema.

Example use cases

Product data extraction from retailer

“Go to https://www.bestbuy.com/site/apple-macbook-air/6578584.p and extract the product name, current price, and availability status as structured fields.”

Article metadata extraction

“Extract the author, publication date, headline, and summary from this article: https://techcrunch.com/2024/06/01/openai-raises-funding — return them as structured JSON.”

Structured extraction from raw text

“I have this raw job listing text — 'Senior Engineer, Remote, $180k–$220k, apply by July 31' — extract the job title, location, salary range, and application deadline as structured fields.”

Technical details

Endpoint

POSThttps://x402.agentindex.world/extract

When to prefer

Choose this endpoint when you need to extract specific, named fields from a URL or raw text and want the result as a strictly typed JSON object matching your own schema. It is ideal for e-commerce data harvesting, article metadata extraction, or any scenario where you know exactly which fields you need and want schema-validated output. Prefer it over a generic web-read endpoint when downstream code depends on predictable field names and types.

Side effects

Both url and text provided — API requires exactly one
Neither url nor text provided — request will fail
URL is inaccessible, paywalled, or returns non-200 — extraction will fail or return empty fields
Schema has fields that cannot be found in source content — those fields may be null or omitted
Malformed JSON Schema supplied — API may reject or return unstructured output
Payment not processed (x402 flow failure) — 402 response, no extraction performed

Input

Schema · Request body

Field	Type	Description
url	string	URL to read and extract from. Provide this or text, not both.
text	string	Raw text to extract from. Provide this or url, not both.
schema	object	JSON Schema describing the fields to extract. The response's `data` field will strictly conform to it.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "price": 29.99,
      "in_stock": true,
      "product_name": "Widget Pro"
    }
  }
}

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How this service works

Output

Example use cases

Product data extraction from retailer

“Go to https://www.bestbuy.com/site/apple-macbook-air/6578584.p and extract the product name, current price, and availability status as structured fields.”

Article metadata extraction

“Extract the author, publication date, headline, and summary from this article: https://techcrunch.com/2024/06/01/openai-raises-funding — return them as structured JSON.”

Structured extraction from raw text

“I have this raw job listing text — 'Senior Engineer, Remote, $180k–$220k, apply by July 31' — extract the job title, location, salary range, and application deadline as structured fields.”

Technical details

Endpoint

POSThttps://x402.agentindex.world/extract

When to prefer

Side effects

Both url and text provided — API requires exactly one
Neither url nor text provided — request will fail
URL is inaccessible, paywalled, or returns non-200 — extraction will fail or return empty fields
Schema has fields that cannot be found in source content — those fields may be null or omitted
Malformed JSON Schema supplied — API may reject or return unstructured output
Payment not processed (x402 flow failure) — 402 response, no extraction performed

Input

Schema · Request body

Field	Type	Description
url	string	URL to read and extract from. Provide this or text, not both.
text	string	Raw text to extract from. Provide this or url, not both.
schema	object	JSON Schema describing the fields to extract. The response's `data` field will strictly conform to it.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "price": 29.99,
      "in_stock": true,
      "product_name": "Widget Pro"
    }
  }
}