WeChat MP modelsapi generation api

wechat-mp/v2/related-articles

Name: Get WeChat MP Related Articles
Author: WeChat MP

Pass an article URL to get the "related articles" at the bottom of the article.

Input

Raw(boolean)

Optional, default True. True=full raw response; False=simplified projection.

Url(string)

WeChat MP article URL (long or short form). E.g. `https://mp.weixin.qq.com/s/TSNQKkRpN1qbKsT7BvzqIw` (this article has related articles disabled, returns empty)

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 IDwechat-mp/v2/related-articles

Input Schema

2 parameters · 1 required · 1 optional

Parameter	Type	Required	Description
`url`	string	Required	WeChat MP article URL (long or short form). E.g. `https://mp.weixin.qq.com/s/TSNQKkRpN1qbKsT7BvzqIw` (this article has related articles disabled, returns empty) · Max length: 2048
`raw`	boolean	Optional	Optional, default True. True=full raw response; False=simplified projection. · Default: true

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": "wechat-mp/v2/related-articles",
  "raw": true,
  "prompt": "a beautiful sunset over mountains"
}'

← Back to Get WeChat MP Related Articles

API README

Get WeChat MP Related Articles

Pass an article URL to get the "related articles" at the bottom of the article. It is suitable for wechat-mp workflows.

Capability

Pass an article URL to get the "related articles" at the bottom of the article. 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.

Related Models

wechat-mp/v2/account-articlesPass a `gh_username` to get a **single page** of the account's historical posts (**article** tab).. `is_end` truthy means the last page.wechat-mp/v2/account-profilePass a `gh_username` to get the official account profile: name / avatar / description / verification entity type, etc.. `nick_name` / `signature` / `head_url` may be `null`.wechat-mp/v2/account-servicesPass a `gh_username` to get the custom menu / service entries at the bottom of the official account.wechat-mp/v2/article-adPass an article URL to get the embedded ad slot info of the article.. This endpoint responds relatively slowly, please be patient.wechat-mp/v2/article-commentsGet WeChat MP article comments (single page, `buffer` cursor pagination). `has_more` false means the last page.. For second-level replies of a specific comment, use `fetch_comment_replies` (pass the comment's `content_id`).wechat-mp/v2/article-detailPass an article URL to get the article body / title / author / cover / publish time / album info.. Regardless of `raw`, the nested `content` JSON string is always parsed into an object (structure normalized). `raw` only controls the projection scope of outer fields.wechat-mp/v2/article-statsPass an article URL to get its interaction metrics (reads / likes / "wow" / shares / favorites / comments).wechat-mp/v2/comment-repliesGet the second-level replies under a first-level comment.. Chain: first call `fetch_article_comments` to get each comment's `content_id`, then feed it into this endpoint.