AI Inference · x402 · early usage

Extract structured data from any unstructured text into your own JSON Schema — structur…

by netintel.dev · discovered, not yet claimed by its owner · updated 2026-10-08

30d calls3

30d payers2

MethodPOST

Outputjson

Mirrored from Coinbase's public x402 Bazaar. The description is the provider's own text and has not been reviewed here; the payment requirements are copied as published.

What it does

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.

Tags: structured extraction · text to json · llm parsing · data extraction · json schema · bazaar

Call contract

Method: POST
Input: json
Output: json
Last paid call: 2026-10-08

Input example from Bazaar metadata

{
  "raw_text": "Hi I'm Sarah Chen, VP of Engineering at Acme Corp. Reach me at [email protected] 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"
  }
}

Output example

{
  "extracted": {
    "company": "Acme Corp",
    "email": "[email protected]",
    "name": "Sarah Chen",
    "phone": "555-867-5309",
    "role": "VP of Engineering"
  },
  "tokens_used": {
    "input": 312,
    "output": 48
  }
}

Use with an agent

Discover. Agents find this listing with GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP tool search_resources, or /discovery/resources.
Inspect. Fetch /resources/29548.json for the price and payment options.
Pay. Call GET https://netintel.dev/schema-parse/extract. The provider answers 402 with its payment requirements. An x402 client signs one of the options below and retries with PAYMENT-SIGNATURE.
Execute. The provider returns 200 with the data. Agent Bazaar is not in the request path and never sees your payment.

For humans

You don't need an account or an API key; you need a wallet holding a small amount of USDC on Base, Solana, and an x402-capable client (see the examples below). Call the endpoint unpaid first to see exactly what it asks for.

Pricing & payment

Price: $0.01 / request
Protocol: x402 v2
Auth: No account or API key. Pay per request.
Networks: Base, Solana
Demand: 3 calls · 2 unique payers in 30d (public x402 Bazaar data)

x402 payment requirements

Scheme	Network	Asset	Amount	Pay to	Timeout
exact	Base eip155:8453	USDC	$0.01	0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df	300s
exact	Solana solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp	USDC	$0.01	8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s	300s

accepts[] (raw JSON)

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "10000",
    "amountUsd": 0.01,
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "10000",
    "amountUsd": 0.01,
    "maxTimeoutSeconds": 300
  }
]

Schemas

Output schema (JSON 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"
}

Example shape — generated from the schema, not a captured live response

{
  "example": {
    "extracted": {},
    "tokens_used": {
      "input": 0,
      "output": 0
    }
  },
  "type": "string"
}

Examples

curl

curl "https://netintel.dev/schema-parse/extract"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://netintel.dev/schema-parse/extract");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

Python

import httpx
res = httpx.get("https://netintel.dev/schema-parse/extract")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Details

Provider: netintel.dev
Endpoint: https://netintel.dev/schema-parse/extract
Machine-readable: /resources/29548.json