Overview
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.
Protocol
x402 (POST)
Price
$0.01
Payment Asset
USDC
Payment Network
base
Category
ai/text
Provider
NetIntel
Source
bazaar
Indexed
2026-06-21 06:10:45
Health
Status
healthy
Latency (p50)
275ms
Uptime (30d)
100.0%
Reliability Score
95/100
Last Checked
2026-10-31 07:04:09
Last Healthy
2026-10-31 07:04:09
Consecutive Failures
0
x402 Payment Validation
Payment Requirements
Valid
Asset Verified
Known USDC
Facilitator
—
Input Schema
{
"body": {
"raw_text": "Hi I'm Sarah Chen, VP of Engineering at Acme Corp. Reach me at sarah.chen@acme.com or 555-867-5309.",
"target_schema": {
"properties": {
"company": {
"type": "string"
},
"email": {
"type": "string"
},
"name": {
"type": "string"
},
"phone": {
"type": "string"
},
"role": {
"type": "string"
}
},
"required": [
"name",
"email"
],
"type": "object"
}
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Output Schema
{
"example": {
"extracted": {
"company": "Acme Corp",
"email": "sarah.chen@acme.com",
"name": "Sarah Chen",
"phone": "555-867-5309",
"role": "VP of Engineering"
},
"tokens_used": {
"input": 312,
"output": 48
}
},
"type": "json"
}