Api Endpoint

NetIntel

Extract structured data from any unstructured text into your own JSON Schema — structured-data / information extraction, text-to-JSON, LLM data enrichment. You supply the schema; the LLM returns a matching object. Works for contacts, invoices, events, product specs, medical records, legal clauses, resumes — any shape. Returns the extracted object plus token usage; unfound fields are omitted or null.

Open interactive test console

Offering

Provider
netintel.dev
Method
POST
Offering type
Api Endpoint
Transport type
http
Category
Data
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://netintel.dev/schema-parse/extract
MIME type
Not provided
First seen
2026-10-16T01:50:45.949Z
Last seen
Tags
structured extraction, text to json, llm parsing, data extraction, JSON Schema

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1
0.01 USDC
Atomic price: 10000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.01 USDC
Atomic price: 10000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "10000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "10000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
103 ms
Average latency
349 ms
HTTP status
204
Last checked
Reachability
100% over 13 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "additionalProperties": false,
  "properties": {
    "body": {
      "properties": {
        "raw_text": {
          "description": "Unstructured text to extract data from — emails, resumes, articles, log entries, contracts, support tickets, etc.",
          "type": "string"
        },
        "target_schema": {
          "description": "A standard JSON Schema object with type, properties, and optionally required. Defines the shape of the extracted output.",
          "type": "object"
        }
      },
      "required": [
        "raw_text",
        "target_schema"
      ],
      "type": "object"
    },
    "bodyType": {
      "enum": [
        "json",
        "form-data",
        "text"
      ],
      "type": "string"
    },
    "method": {
      "enum": [
        "POST"
      ],
      "type": "string"
    },
    "type": {
      "const": "http",
      "type": "string"
    }
  },
  "required": [
    "type",
    "method",
    "bodyType",
    "body"
  ],
  "type": "object"
}

Output schema

{
  "properties": {
    "example": {
      "properties": {
        "extracted": {
          "description": "Structured data conforming to the caller's target_schema. Missing fields are omitted or null.",
          "type": "object"
        },
        "tokens_used": {
          "description": "LLM token consumption for this extraction",
          "properties": {
            "input": {
              "description": "Prompt tokens consumed",
              "type": "number"
            },
            "output": {
              "description": "Completion tokens consumed",
              "type": "number"
            }
          },
          "type": "object"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}