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Agent Release Gate – Structured JSON Extraction
x402
Agent Release Gate – Structured JSON Extraction is a paid API for AI agents from agentcash-claude-seller-production.up.railway.app, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-31).
Extracts specified fields as structured JSON from a given text input using Claude, returning only the requested key-value pairs.
Price / call$0.004
Success—
StatusUnknown
How this service works
Agent Release Gate: an independent quality check that tells an AI agent whether its output is ready to ship, with repair instructions when it is not. Also offers low-cost utilities for quick answers, summaries, task routing, structured JSON extraction, and Claude text generation. Pay per call with USDC over x402 on Base or MPP on Tempo; no API key or signup.
Output
A structured JSON object containing the values extracted for each requested field, keyed by the field names provided. Fields not found in the text may be null or omitted. The response is generated by Claude and capped by the specified maxTokens budget.
Example use cases
Parsing invoice details from email
“Extract the vendor name, invoice number, total amount, and due date from this email body as structured JSON: 'Dear client, please find attached invoice #INV-2041 from BlueSky Supplies for $4,320.00, due on June 15, 2025.'”
Structuring job posting attributes
“From this job listing, extract the job title, required years of experience, location, and salary range: 'We are hiring a Senior Data Engineer in Seattle, WA. Candidates need 5+ years of experience. Salary: $140,000–$170,000 per year.'”
Extracting product specs from description
“Pull the product name, price, battery life, and weight from this product blurb and give them back as structured JSON: 'The TrailBlazer X3 is a rugged GPS watch priced at $299, offering 72 hours of battery life and weighing just 52 grams.'”
Technical details
Endpoint
POSThttps://agentcash-claude-seller-production.up.railway.app/api/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to pull a fixed set of named fields out of unstructured or semi-structured text and receive clean JSON back, especially in agent pipelines where downstream steps require structured data. It is particularly useful when you already know the field names you want and want Claude's language understanding to locate and normalize values without writing custom parsing logic. Prefer it over a general LLM call when you want a lightweight, pay-per-call extraction with no API key setup.
Side effects
- Text too short or empty — schema requires minLength 1
- Too many fields requested — schema caps at 20 fields
- maxTokens too low to fit all extracted values — truncated output
- Field names too vague — Claude may misinterpret or return null
- Text exceeds 10,000 character limit — rejected by schema validation
- Payment failure over x402/MPP — 402 response returned before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| fields | array | |
| maxTokens | integer |
Tags
x402
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