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Json Schema Infer
by json-schema-infer in AI models & inference
x402 APIPassing, checked 43 min ago
Infer a basic JSON Schema (types, object properties, array item type) from an example document.
POST https://x402.agentindex.world/json/schema-infer
Last 30 days
All checks passedSome failedAll failedNot checked
- Uptime
- 100%
- Response time
- 42 ms typical, 42 ms slowest 5%
- Last check
- 43 min ago
- Next check
- any minute now
How to call it
# See the payment challenge (nothing is charged)
curl -i -X POST "https://x402.agentindex.world/json/schema-infer" \
-H "content-type: application/json" \
-d '{"data":{"active":true,"age":30,"name":"Alice"}}'import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";
const client = new x402Client().register(
"eip155:8453",
new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);
// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fx402.agentindex.world%2Fjson%2Fschema-infer
const res = await pay("https://x402.agentindex.world/json/schema-infer", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({"data":{"active":true,"age":30,"name":"Alice"}}),
});
console.log(await res.json());Example input
{
"data": {
"active": true,
"age": 30,
"name": "Alice"
}
}Example output
{
"schema": {
"properties": {
"active": {
"type": "boolean"
},
"age": {
"type": "integer"
},
"name": {
"type": "string"
}
},
"required": [
"name",
"age",
"active"
],
"type": "object"
}
}Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 43 min ago | Passed | 402 | 42 ms | $0.001 |
| 6 h ago | Passed | 402 | 56 ms | $0.001 |