Api Endpoint

NetIntel

Turn unstructured text into structured JSON matching a caller-supplied schema using Claude Haiku — the agent declares the fields and types it wants, and gets back populated JSON with values pulled from the text and coerced to the right types, so agents can structure any prose into the exact shape their pipeline expects.

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/text-to-json
MIME type
Not provided
First seen
2026-10-16T01:50:14.534Z
Last seen
Tags
text to json, structured extraction, JSON Schema, data extraction, LLM

Payment pricing

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

Payment option 1
0.05 USDC
Atomic price: 50000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.05 USDC
Atomic price: 50000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "50000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "50000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
100 ms
Average latency
289 ms
HTTP status
204
Last checked
Reachability
100% over 14 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": {
        "schema": {
          "description": "A map of field name → type token. Supported tokens: string, number, boolean, date, string[], number[], object. Max 50 fields. Each field is extracted from the text as the declared type; output keys are forced to exactly these field names.",
          "type": "object"
        },
        "text": {
          "description": "The unstructured prose to extract structured data from. Max 10000 words or 50KB.",
          "type": "string"
        }
      },
      "required": [
        "text",
        "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": {
        "cached": {
          "description": "True if served from the in-memory cache.",
          "type": "boolean"
        },
        "fields_in_schema": {
          "description": "Number of fields in the schema.",
          "type": "number"
        },
        "fields_nulled": {
          "description": "Number of null fields in the output.",
          "type": "number"
        },
        "fields_populated": {
          "description": "Number of non-null fields in the output.",
          "type": "number"
        },
        "findings": {
          "description": "Informational findings (e.g. schema_mismatch_corrected, mostly_nulled).",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "grade": {
          "description": "Letter grade A-F.",
          "type": "string"
        },
        "result": {
          "description": "The extracted data: keys are exactly the schema field names, values pulled from the text and cast to the declared types, unfindable fields null.",
          "type": "object"
        },
        "schema_match": {
          "description": "True when the model's output keys were exactly the schema field names. False when code had to force-conform (strip extra / add missing) keys.",
          "type": "boolean"
        },
        "score": {
          "description": "Quality score 0-100.",
          "type": "number"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}