Validate Dataset(s) with JSON Schema avatar
Validate Dataset(s) with JSON Schema

Pricing

Pay per usage

Go to Store
Validate Dataset(s) with JSON Schema

Validate Dataset(s) with JSON Schema

Developed by

Jaroslav Hejlek

Jaroslav Hejlek

Maintained by Community

This Actor validates items in one or more datasets against a provided JSON Schema. Use it if you planning to add a dataset validation schema to your actor and you want test it.

0.0 (0)

Pricing

Pay per usage

0

Total users

1

Monthly users

1

Runs succeeded

50%

Last modified

a month ago

You can access the Validate Dataset(s) with JSON Schema programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=jaroslavhejlek/validate-dataset-with-json-schema"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Validate Dataset(s) with JSON Schema via Model Context Protocol (MCP) server

MCP server lets you use Validate Dataset(s) with JSON Schema within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Validate Dataset(s) with JSON Schema Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "schema": {
$ "$schema": "http://json-schema.org/draft-07/schema#",
$ "type": "object",
$ "properties": {},
$ "required": []
$ }
$},
$ "name": "jaroslavhejlek/validate-dataset-with-json-schema"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Validate Dataset(s) with JSON Schema

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"jaroslavhejlek/validate-dataset-with-json-schema"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.