# JSON to Pydantic Model Converter

> JSON to Pydantic Model Converter is a paid API for AI agents from api.strale.io, paid per call via x402, $0.054/call, status unknown (last checked 2026-09-13).

Converts a JSON string or object into Python Pydantic model class definitions, handling nested objects, arrays, and optional fields.

## Facts

- Endpoint: GET https://api.strale.io/x402/v2/json-to-pydantic
- Price: $0.054/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/json-to-pydantic-model-converter-532b62f3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kJecBy61P-nn851cRD-Nk

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability json-to-pydantic-model-converter-532b62f3
```

Example prompt: Can you convert this JSON into Pydantic model classes for me? Use 'UserProfile' as the root model name: {"id": 123, "name": "Alice", "address": {"street": "123 Main St", "city": "Springfield"}, "tags": ["admin", "user"]}

## When to prefer this

Choose this endpoint when you need to quickly scaffold Pydantic model classes from existing JSON data or API responses without manually writing Python type definitions. Ideal for developers integrating third-party APIs, building data pipelines, or enforcing type safety in Python projects. Prefer this over manual authoring when the JSON structure is complex or deeply nested.

## Known failure modes

- Invalid or malformed JSON input causes a parse error response
- Missing required 'json' query parameter returns a validation error
- Extremely deeply nested JSON may hit recursion or size limits
- Non-standard JSON types (e.g. dates as strings) may not receive specialized Pydantic validators

## How this service works

The trust layer for AI agents — 250+ independently tested data capabilities across 27 countries. Execute capabilities via REST, MCP, A2A, or x402 micropayments. Every call returns an audit record with cryptographic chain hashing.

## Output

Returns Python source code containing Pydantic model class definitions that reflect the structure of the provided JSON input, including nested models for sub-objects, typed list fields for arrays, and optional field annotations where applicable.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "json"
     ],
     "properties": {
      "json": {
       "description": "JSON string or object"
      },
      "root_name": {
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/json-to-pydantic-model-converter-532b62f3/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.strale.io](https://www.zero.xyz/host/api.strale.io/llms.txt)