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JSON to Pydantic Model Converter
x402
JSON to Pydantic Model Converter is a paid API for AI agents from api.strale.io, paid per call via x402, $0.054001/call, status unknown (last checked 2026-10-10).
Converts a JSON object or JSON string into Python Pydantic model class definitions, handling nested objects, arrays, and optional fields algorithmically.
Price / call$0.054001
Success—
StatusUnknown
How this service works
Convert JSON to Python Pydantic model classes. Handles nested objects, arrays, optional fields. Algorithmic.
Output
Python source code containing Pydantic BaseModel class definitions corresponding to the input JSON structure, with proper field names, type annotations, nested model classes, and optional field handling.
Example use cases
Example prompt
“Can you convert this JSON into Python Pydantic model classes? {"user": {"id": 1, "name": "Alice", "address": {"city": "NYC", "zip": "10001"}, "tags": ["admin", "user"]}} — name the root model 'UserModel'.”
Technical details
Endpoint
GEThttps://api.strale.io/x402/json-to-pydantic?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to quickly scaffold Pydantic model classes from a real JSON example or API response, especially when working in Python and needing type-safe data validation. Prefer this over manual authoring when the JSON has nested objects or arrays that would be tedious to model by hand.
Side effects
- Invalid or malformed JSON input returns an error
- Missing required 'json' query parameter returns 400
- Very deeply nested JSON may hit complexity limits
- Empty JSON object may produce minimal or empty model
Input
{
"json": "{\"user\": {\"id\": 1, \"name\": \"Alice\", \"email\": \"alice@example.com\", \"is_active\": true, \"tags\": [\"admin\", \"user\"]}}",
"root_name": "UserModel"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
{
"_meta": {
"payment": {
"method": "x402",
"price_usd": 0.054000000000000006,
"settlement_id": "0xd615962b28d19240a2bbcdef8b354dbcd64611ef178dc19bc99954b1f10c6f95"
},
"capability": "json-to-pydantic",
"latency_ms": 0,
"provenance": {
"source": "algorithmic",
"fetched_at": "2026-06-16T01:20:42.345Z"
}
},
"root_type": "UserModel",
"model_count": 2,
"pydantic_model": "from pydantic import BaseModel\nfrom typing import Any, List, Optional\n\nclass UserModel(BaseModel):\n user: UserModelUser\n\nclass UserModelUser(BaseModel):\n id: int\n name: str\n email: str\n is_active: bool\n tags: List[str]"
}Tags
x402
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Zero review prompt (fires after every successful call)
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