API reference · WeChat MP
wechat-mp/v2/account-articles
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-mp/v2/account-articles01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
username | string | Required | Official account `gh_username` (`gh_…`). E.g. `gh_363b924965e9` · Max length: 64 |
raw | boolean | Optional | Optional, default True. True=raw; False=simplified parsing. |
offset | union | Optional | Optional pagination cursor (base64), **leave empty for the first page**; for the next page pass `next_offset` from the previous response. E.g. `CAMQChiS5KfRBiAKOJLkp9EGQABIAVgAYABwAQ==` |
page_size | integer | Optional | Optional, default 20, range **10-20**. Articles per page. · Min: 10 · Max: 20 |
item_show_type | union | Optional | Optional content tab (matches the "Articles / Videos / Audios" tabs on the account homepage). Empty / `0`=articles (default), `5`=videos, `7`=audios, `8`=image-text posts. Omitting it = articles, behavior unchanged. |
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-mp/v2/account-articles"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());