TikTok modelsapi generation api

tiktok/web/batch-check-live-alive

Name: Batch live room start status check
Author: TikTok

Web Batch Check Live Alive provides a focused capability for applications, automation, and data workflows.

Input

Room Ids(string)

Live room ID list separated by commas, e.g.: 7530611486784277278,7530633767468288782

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDtiktok/web/batch-check-live-alive

Input Schema

1 parameters · 1 required · 0 optional

Parameter	Type	Required	Description
`room_ids`	string	Required	Live room ID list separated by commas, e.g.: 7530611486784277278,7530633767468288782

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Code Examples

Ready-to-run snippets

curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "tiktok/web/batch-check-live-alive",
  "prompt": "a beautiful sunset over mountains"
}'

← Back to Batch live room start status check

API README

Batch live room start status check

Web Batch Check Live Alive provides a focused capability for applications, automation, and data workflows. It is suitable for tiktok workflows.

Capability

Web Batch Check Live Alive provides a focused capability for applications, automation, and data workflows. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.

Common use cases

Connect structured data to dashboards, agents, internal tools, and automated workflows.
Create repeatable integrations that pass structured results to downstream business systems.
Support scheduled jobs, internal tools, and agent workflows with structured results.

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