JSON to Pydantic

Turn JSON into Python Pydantic models, with nested objects, arrays and optional fields.

Pay by wallet (x402) json-to-pydantic

Example

Example answer

{
  "root_type": "Root",
  "model_count": 1,
  "pydantic_model": "from pydantic import BaseModel\nfrom typing import Any, List, Optional\n\nclass Root(BaseModel):\n    name: str\n    value: int"
}

Inputs

Field	Type	Required	What it is
`json`	any	Yes	JSON string or object
`root_name`	string	No	—

Output fields

How reliably each field appears in a successful answer.

Field	Type	Appears
`root_type`	string	Always (present in every successful answer)
`model_count`	integer	Always (present in every successful answer)
`pydantic_model`	string	Always (present in every successful answer)

How to call it

The same tool through each route. MCP clients reach it through Strale’s server at https://api.strale.io/mcp; the call below is what the agent sends.

# Needs an API key. max_price_cents caps what this call may cost.
curl -X POST https://api.strale.io/v1/do \
  -H "Authorization: Bearer $STRALE_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
    "capability_slug": "json-to-pydantic",
    "inputs": {
      "json": "{\"name\": \"Test\", \"value\": 42}"
    },
    "max_price_cents": 5
  }'

{
  "tool": "strale_execute",
  "arguments": {
    "slug": "json-to-pydantic",
    "inputs": {
      "json": "{\"name\": \"Test\", \"value\": 42}"
    },
    "max_price_cents": 5
  }
}

import { Strale } from "straleio";

const strale = new Strale({ apiKey: process.env.STRALE_API_KEY! });
const result = await strale.do({
  capability_slug: "json-to-pydantic",
  inputs: {
    "json": "{\"name\": \"Test\", \"value\": 42}"
  },
  max_price_cents: 5,
});

import os
from straleio import Strale, DoRequest

strale = Strale(api_key=os.environ["STRALE_API_KEY"])
result = strale.do(DoRequest(
    capability_slug="json-to-pydantic",
    inputs={
        "json": "{\"name\": \"Test\", \"value\": 42}",
    },
    max_price_cents=5,
))

# No account. The first request answers 402 with the price in USDC;
# an x402 client pays it from your wallet and repeats the request.
curl -i 'https://api.strale.io/x402/v2/json-to-pydantic?json=%7B%22name%22%3A+%22Test%22%2C+%22value%22%3A+42%7D'

Limitations

Optional fields can be inferred as required
Infers Pydantic models from JSON samples — optional fields may be marked as required if always present in the sample
What to do instead: Provide samples with null values for optional fields, or manually adjust Field(default=None) after generation