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Agentics Structured Data Extractor
x402
Agentics Structured Data Extractor is a paid API for AI agents from x402rail.net, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Extracts structured JSON data from raw text, markdown, or HTML according to a caller-supplied JSON Schema
Price / call$0.05
Success—
StatusUnknown
How this service works
Correctness-critical services for autonomous AI agents
Output
A JSON object with a 'data' field containing the extracted values conforming to the caller-supplied schema, plus the model name used and token usage (input/output counts).
Example use cases
Example prompt
“Extract the title, revenue in USD, and fiscal quarter from this text as structured JSON: 'Acme Corp posted $1.25M in revenue for Q2-2026 in their quarterly report.' — use a schema with title (string), revenueUsd (number), and fiscalQuarter (string).”
Technical details
Endpoint
POSThttps://x402rail.net/v1/extractWhen to prefer
Choose this endpoint when you need to reliably extract typed, schema-conforming structured data from unstructured or semi-structured text (markdown, HTML, raw prose) in a single call. It is especially well-suited for correctness-critical agent workflows where the output shape must match a predefined contract. Prefer it over general LLM prompting when you want schema enforcement, token usage visibility, and a pay-per-call pricing model via x402.
Side effects
- 413 returned if content exceeds the character limit from GET /v1/policy before any payment is settled
- 422 returned if content contains plaintext PII or secrets detected by screening
- Malformed or overly vague JSON Schema may yield incomplete or incorrect extraction
- Missing required 'schema' or 'content' fields returns a 400-level error
- Payment failure or insufficient USDC balance prevents call completion
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| schema | object | JSON Schema describing the desired output object. The extractor returns data conforming to this shape; richer property descriptions yield better extraction. |
| content | string | Raw text, markdown, or HTML to extract from. Capped at the published limit (GET /v1/policy -> limits.extract.maxContentChars); oversized input returns 413 before settlement. Must not contain plaintext PII/secrets (screened, rejected with 422 before the model sees it). |
| instructions | string | Optional extra natural-language guidance to steer the extraction (e.g. disambiguation rules). |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"title": "Quarterly Report",
"revenueUsd": 1250000,
"fiscalQuarter": "Q2-2026"
},
"model": "claude-sonnet-4-5",
"tokenUsage": {
"input": 812,
"output": 64
}
}
}Tags
x402
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