Structura — Messy Input to Schema-Conformant JSON

x402

Structura — Messy Input to Schema-Conformant JSON is a paid API for AI agents from structura.x.c00l.site, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).

Converts URLs, HTML, plain text, or PDF-like blobs into JSON that validates against a user-supplied JSON Schema, with repair attempts tracked.

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Turn a URL, HTML, text or a PDF-ish blob into JSON that provably validates against your JSON Schema. Paid per call over x402.

Output

Returns a JSON object containing: 'data' (the extracted, schema-conformant JSON payload), 'valid' (boolean indicating whether the output passes JSON Schema validation), 'schema' (the JSON Schema used or inferred), 'documentKind' (a human-readable label for the detected document type), and 'repairAttempts' (number of times the system retried to coerce the output into a valid form).

Example use cases

E-commerce product data extraction

“Grab this product page at https://shop.example.com/shoes/running-x and extract the product name, price, and availability into JSON conforming to this schema: {"type":"object","required":["name","price","available"],"properties":{"name":{"type":"string"},"price":{"type":"number"},"available":{"type":"boolean"}}}.”

PDF invoice field parsing

“I have a PDF invoice blob — can you pull out the invoice number, vendor name, total amount due, and due date into validated JSON using this schema: {"type":"object","required":["invoiceNumber","vendor","total","dueDate"],"properties":{"invoiceNumber":{"type":"string"},"vendor":{"type":"string"},"total":{"type":"number"},"dueDate":{"type":"string"}}}}?”

News article metadata extraction

“Parse this news article HTML and give me the headline, author, and publication date as schema-conformant JSON matching {"type":"object","required":["headline","author","publishedAt"],"properties":{"headline":{"type":"string"},"author":{"type":"string"},"publishedAt":{"type":"string","format":"date-time"}}}.”

Technical details

Endpoint

POSThttps://structura.x.c00l.site/infer

When to prefer

Choose Structura when you need provably schema-valid JSON output from unstructured or semi-structured sources (URLs, HTML, text, PDFs) and correctness matters — especially when downstream systems require strict schema conformance. It is preferable to generic web scrapers or LLM extraction pipelines when you need the 'valid' guarantee and repair-attempt transparency, and when you are willing to pay per call for reliability.

Side effects

URL is inaccessible or returns non-200 status — extraction fails with an error
Input content is too ambiguous or sparse to map to the supplied schema — may return valid:false
Schema is too strict and output cannot be repaired to conform — repairAttempts exhausted
PDF blob is image-based (scanned) and text extraction is not possible
Schema references unsupported JSON Schema features or draft versions
Payment not received via x402 protocol — request rejected before processing

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "name": "Widget Pro",
      "price": 19.99
    },
    "valid": true,
    "schema": {
      "type": "object",
      "title": "Product Listing",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "name",
        "price"
      ],
      "properties": {
        "name": {
          "type": [
            "string",
            "null"
          ],
          "description": "Product name."
        },
        "price": {
          "type": [
            "number",
            "null"
          ],
          "description": "Numeric price."
        }
      }
    },
    "documentKind": "e-commerce product page",
    "repairAttempts": 0
  }
}

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How this service works

Turn a URL, HTML, text or a PDF-ish blob into JSON that provably validates against your JSON Schema. Paid per call over x402.

Output

Example use cases

E-commerce product data extraction

PDF invoice field parsing

News article metadata extraction

Technical details

Endpoint

POSThttps://structura.x.c00l.site/infer

When to prefer

Side effects

URL is inaccessible or returns non-200 status — extraction fails with an error
Input content is too ambiguous or sparse to map to the supplied schema — may return valid:false
Schema is too strict and output cannot be repaired to conform — repairAttempts exhausted
PDF blob is image-based (scanned) and text extraction is not possible
Schema references unsupported JSON Schema features or draft versions
Payment not received via x402 protocol — request rejected before processing

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "name": "Widget Pro",
      "price": 19.99
    },
    "valid": true,
    "schema": {
      "type": "object",
      "title": "Product Listing",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "name",
        "price"
      ],
      "properties": {
        "name": {
          "type": [
            "string",
            "null"
          ],
          "description": "Product name."
        },
        "price": {
          "type": [
            "number",
            "null"
          ],
          "description": "Numeric price."
        }
      }
    },
    "documentKind": "e-commerce product page",
    "repairAttempts": 0
  }
}