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.
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"
}