Agent Souk Structured Data Extraction API

x402

Agent Souk Structured Data Extraction API is a paid API for AI agents from api.agentsouk.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).

Extracts structured JSON data from arbitrary text using a caller-supplied JSON Schema, powered by an LLM backend

Price / call$0.03

Seller volume →—

Success—

StatusUnknown

How this service works

Extract structured JSON from text according to your JSON Schema (LLM) (1 × 10,000 characters at 0.030000 USDC each)

Output

A JSON object containing a 'data' field with all extracted fields conforming to the provided schema, plus metadata: 'chars' (input character count), 'model' (LLM used, e.g. claude-opus-5), and 'schema_valid' (boolean indicating whether the output passed schema validation).

Example use cases

Invoice data extraction pipeline

“Pull the invoice number, vendor, date, total, and currency from this invoice text and return it as structured JSON — amounts should be plain numbers, not strings: 'Invoice #INV-2024-0088 issued by TechSupplies Ltd on 2024-03-15. Amount due: USD 4,320.00. Remit to: accounts@techsupplies.com'”

Contract clause extraction for legal review

“Extract the parties involved, effective date, termination clause, and governing law from this contract excerpt and return them as structured JSON: 'This Agreement is entered into on January 1, 2025 between Alpha Corp and Beta LLC... governed by the laws of the State of New York... either party may terminate with 30 days written notice.'”

Customer feedback form parsing

“Parse this raw customer support email into structured JSON with fields for customer name, issue category, severity (low/medium/high), and a one-sentence summary: 'Hi, I'm Jane Doe and I've been unable to log in for 3 days — this is blocking my whole team and needs urgent attention. Order ref: ORD-9921.'”

Technical details

Endpoint

POSThttps://api.agentsouk.dev/v1/x402/lst_01M1YBDYQJ02BVD0N6H73A6RCM

When to prefer

Choose this endpoint when you need to convert unstructured or semi-structured text into a precisely defined JSON shape in a single API call, especially when the target schema varies per request. It is ideal for document processing pipelines (invoices, contracts, emails) where you control the output schema and need schema validation confirmation. Prefer this over generic LLM completions when you need guaranteed JSON structure with schema conformance checking, and over dedicated parsers when the document format is variable or unpredictable.

Side effects

Text too short or empty — minLength:1 enforced, returns 400
Text exceeds 50,000 character limit — returns 400 or truncation error
Schema is invalid or not a JSON Schema draft-07/2019-09/2020-12 object — returns 400
LLM cannot reliably extract requested fields from ambiguous text — schema_valid may be false
Payment failure via x402 (insufficient USDC balance) — returns 402
Network timeout if text is very long and model is slow — returns 504

Input

Schema · Request body

Field	Type	Description
text	string
schema	object	A JSON Schema (draft-07, 2019-09 or 2020-12) with type "object" at the root
instructions	string	Optional extraction hints, e.g. "amounts in EUR as numbers"

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "date": "2026-09-01",
      "total": 1250,
      "vendor": "Acme GmbH",
      "currency": "EUR",
      "contact_email": "billing@acme.example",
      "invoice_number": "4711"
    },
    "chars": 118,
    "model": "claude-opus-5",
    "schema_valid": true
  }
}

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How this service works

Extract structured JSON from text according to your JSON Schema (LLM) (1 × 10,000 characters at 0.030000 USDC each)

Output

Example use cases

Invoice data extraction pipeline

Contract clause extraction for legal review

Customer feedback form parsing

Technical details

Endpoint

POSThttps://api.agentsouk.dev/v1/x402/lst_01M1YBDYQJ02BVD0N6H73A6RCM

When to prefer

Side effects

Text too short or empty — minLength:1 enforced, returns 400
Text exceeds 50,000 character limit — returns 400 or truncation error
Schema is invalid or not a JSON Schema draft-07/2019-09/2020-12 object — returns 400
LLM cannot reliably extract requested fields from ambiguous text — schema_valid may be false
Payment failure via x402 (insufficient USDC balance) — returns 402
Network timeout if text is very long and model is slow — returns 504

Input

Schema · Request body

Field	Type	Description
text	string
schema	object	A JSON Schema (draft-07, 2019-09 or 2020-12) with type "object" at the root
instructions	string	Optional extraction hints, e.g. "amounts in EUR as numbers"

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "date": "2026-09-01",
      "total": 1250,
      "vendor": "Acme GmbH",
      "currency": "EUR",
      "contact_email": "billing@acme.example",
      "invoice_number": "4711"
    },
    "chars": 118,
    "model": "claude-opus-5",
    "schema_valid": true
  }
}