API reference · WeChat Channels
wechat-channels/v2/user-profile
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/user-profile01
Input Schema
2 parameters · 1 required · 1 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
username | string | Required | WeChat Channels finder username (`v2_…@finder` format). Source: the `username` field of video objects in `fetch_video_detail` / `fetch_user_videos` responses; or convert a `sph…` short ID via `fetch_channel_id_to_username`. E.g. `v2_060000231003b20faec8c6e4811dc1d4c602ee30b0771bbcf220c67926bb76ab7702ac335a53@finder` (People's Daily). · Min length: 10 · Max length: 256 |
raw | boolean | Optional | Optional, default True. True=raw response; False=simplified parsed structure. |
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/user-profile"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());