Overview
JSON Schema Generator works by analyzing the structure and data types in sample JSON to produce a valid JSON Schema. It detects formats like date, email, and URI automatically and marks all fields as required.
Endpoint
One host, one path per API. The block below shows this call in four languages; every one of them is the same HTTP request. Making requests covers the timeouts, retries and parameter rules that apply to all of them. The SDKs wrap the same call in a typed client.
curl -X POST https://api.apiverve.com/v1/jsonschemagenerator \
-H "x-api-key: your_api_key_here" \
-H "Content-Type: application/json" \
-d '{
"json": {
"name": "John Doe",
"age": 30,
"email": "john@example.com",
"active": true
},
"title": "User Schema"
}'const res = await fetch('https://api.apiverve.com/v1/jsonschemagenerator', {
method: 'POST',
headers: {
'x-api-key': 'your_api_key_here',
'Content-Type': 'application/json',
},
body: JSON.stringify({
"json": {
"name": "John Doe",
"age": 30,
"email": "john@example.com",
"active": true
},
"title": "User Schema"
}),
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const { data } = await res.json();
console.log(data);import requests
res = requests.post(
"https://api.apiverve.com/v1/jsonschemagenerator",
headers={"x-api-key": "your_api_key_here"},
json={
"json": {
"name": "John Doe",
"age": 30,
"email": "john@example.com",
"active": True
},
"title": "User Schema"
},
timeout=15,
)
res.raise_for_status()
print(res.json()["data"])package main
import (
"fmt"
"io"
"net/http"
"strings"
)
func main() {
body := strings.NewReader(`{
"json": {
"name": "John Doe",
"age": 30,
"email": "john@example.com",
"active": true
},
"title": "User Schema"
}`)
req, _ := http.NewRequest("POST", "https://api.apiverve.com/v1/jsonschemagenerator", body)
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your_api_key_here")
res, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer res.Body.Close()
out, _ := io.ReadAll(res.Body)
fmt.Println(string(out))
}Replace your_api_key_here with the key from your dashboard. When the inputs arrive as a list rather than one at a time, batch requests run up to 200 of them through this same API in a single call.
Authentication
Send your key in the x-api-key header. That is the only auth step — there is no token exchange and no per-endpoint scope to configure. Authentication covers creating, rotating and revoking keys.
A 401 means the key is missing, invalid or expired. A 403 means the key is valid but not permitted here — blocked by a key restriction or an IP allow-list. Running out of credits is a 429.
Parameters
Sent as JSON in the request body. Premium parameters are accepted on every plan but only take effect on plans that include them.
| Parameter | Type | Description |
|---|---|---|
jsonRequired | object | The sample JSON data to generate a schema from |
titleOptional | string | The title for the generated schema (default: 'Generated Schema') default Generated Schema |
descriptionOptional | string | Optional description for the schema |
Response
Every API returns the same three top-level keys, so one response handler covers your whole integration: status, error and data. Only data changes shape. Response format covers the envelope, the other output formats and how premium fields are withheld.
{
"status": "ok",
"error": null,
"data": {
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "User Schema",
"type": "object",
"properties": {
"name": {
"type": "string"
},
"age": {
"type": "integer"
},
"email": {
"type": "string",
"format": "email"
},
"active": {
"type": "boolean"
}
},
"required": [
"name",
"age",
"email",
"active"
]
}
}Response fields
Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.
| Field | Type | Example | Description |
|---|---|---|---|
$schema | string | "http://json-schema.org/draft-07/schema#" | JSON Schema version URI (e.g., Draft-07) |
title | string | "User Schema" | Title of the generated schema definition |
type | string | "object" | Root schema type (e.g., object, array) |
properties | object | {...} | Field definitions with inferred types and formats |
name | object | {...} | |
type | string | "string" | Root schema type (e.g., object, array) |
age | object | {...} | |
type | string | "integer" | Root schema type (e.g., object, array) |
email | object | {...} | |
type | string | "string" | Root schema type (e.g., object, array) |
format | string | "email" | |
active | object | {...} | |
type | string | "boolean" | Root schema type (e.g., object, array) |
required | array | [name, ...] | Array of field names marked as required |
Errors
Read the HTTP status first, then error for the specific reason. The body names the parameter that has to change. Error handling covers the full status list and which of them are worth retrying.
| Status | Meaning | What to do |
|---|---|---|
400 | Input was rejected | Read error; it names the parameter. |
401 | Key missing or invalid | Check the header name and the key value. |
403 | Key valid, but not permitted | A key restriction or IP allow-list; see key scoping. |
429 | Rate limited, or out of credits | Read error to tell them apart; see rate limits. |
Use cases
- API Documentation
- Generate JSON schemas for API request/response documentation automatically from sample data
- Data Validation
- Create validation schemas for JSON data in applications, APIs, or configuration files
- Contract Testing
- Generate schemas from API responses to use in contract testing and API monitoring
- Code Generation
- Use generated schemas as input for code generation tools to create type-safe data models
Other ways to use JSON Schema Generator
Set up JSON Schema Generator on APIVerve, or reach the same source a different way. Your APIVerve account and credits work on all of them — one key, one balance.
Related
More in Data Generation: