Free Background Jobs API — REST Endpoint for Testing & Development

System

4 Endpoints

Queue and monitor long-running background tasks with progress tracking and retry logic. This endpoint provides realistic mock data and behaviors, making it perfect for frontend testing, QA, software demos, and programming tutorials.

Internal API - Hosted by this App

API Endpoints & Usage

Explore and interact with the available endpoints for the Background Jobs API. These API routes are live!

POST

/api/jobs

Queue new background job with parameters.

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Request Body (JSON)

GET

/api/jobs/{jobId}

Get job status, progress, and results. Replace {jobId} with an actual ID.

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Request Path

Replace placeholders (e.g., {userId}) with actual values in the path above. You can also add/edit query parameters (e.g., ?key=value).

GET

/api/jobs

List jobs with status filtering and pagination.

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Request Path

You can add or change query parameters in the path above (e.g., ?name=User).

DELETE

/api/jobs/{jobId}

Cancel queued or running job. Replace {jobId} with an actual ID.

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Request Path

Replace placeholders (e.g., {userId}) with actual values in the path above.

Example Usage

cURL Request

curl -X POST https://gen-endpoint.com/api/jobs

Sample JSON Response

{
  "id": "job_789",
  "type": "data_export",
  "status": "queued",
  "priority": "normal",
  "queuePosition": 3,
  "estimatedStartTime": "2024-08-16T12:05:00Z"
}

Frequently Asked Questions (FAQ)

Is this API free?

Yes! This API is completely free to use for personal, learning, and development purposes. There are no strict usage limits for standard personal use.

Does it require authentication?

Most of our endpoints are public and do not require any API keys or authentication. You can start sending requests immediately.

What does the response look like?

Our APIs return standardized JSON responses mimicking real-world data structures, ensuring easy parsing and integration for your frontend or tools.

Can I use this in production?

No. These endpoints are designed solely for testing, development, and demonstration purposes. They provide mock data and do not guarantee uptime or data persistence required for production applications.