API reference · WeChat Channels
wechat-channels/v2/video-detail
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
wechat-channels/v2/video-detail01
Input Schema
5 parameters · 0 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
raw | boolean | Optional | Optional, default True. True=raw response; False=simplified parsed structure (recommended for media download). |
export_id | union | Optional | Second priority, optional. `exportId` from search results (must start with `export/`). Search results often only carry `exportId` without a plain object_id — pass export_id directly in that case (it expires, use it soon). |
object_id | union | Optional | Highest priority, optional. Video objectId (numeric), e.g. `14941130915890399732`. Obtainable from the video `id` of `fetch_user_videos` / `fetch_collection_videos`. |
share_url | union | Optional | Last, optional. Channels share URL (`https://weixin.qq.com/sph/…`), e.g. `https://weixin.qq.com/sph/AH3sCoIPhH`. Used only when both object_id and export_id are empty. |
object_nonce_id | union | Optional | Optional. `feedNonceId` (numeric) from search results, pairs with the above to improve hit rate. |
02
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 |
03
Code Examples
Ready-to-run snippets
const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "wechat-channels/v2/video-detail"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());