WeChat Official Account API for AI agents and LLMs: fewer tokens, called from Claude and Cursor (2026)
DataXAPI has 8 WeChat Official Account endpoints, and what an AI reads of them through MCP takes 79% fewer tokens than the platform's raw JSON: one article's text is 7,198 tokens raw and 686 as the AI reads it. One key, no WeChat Official Account account of yours. DataXAPI reads WeChat Official Accounts with 8 endpoints, from $0.0200 a call; a failed call is not charged, and the free trial covers up to 333 calls.
Every token of a tool's answer goes into the agent's context and is paid for as input. WeChat Official Account's raw JSON is made for its own app, with many fields nested deep. Across DataXAPI's 8 WeChat Official Account endpoints, one recorded real response each, the raw JSON comes to 21k tokens and what an AI reads through MCP to 4,494. With the context saved, an agent reads more pages and takes more steps in one conversation, and sooner.
Every platform uses the same names: the author in author, counts in metrics, the time in published_at as UTC, the next page in page.next_cursor. A field the platform does not give is listed in meta.unavailable, so the AI does not read it as 0.
How do I connect it?
To connect: paste this to your AI assistant: “Read https://dataxapi.com/agents.md and set up DataXAPI here. My API key is dx_…; use it for every DataXAPI call.” A client that takes a remote MCP server can be given https://api.dataxapi.com/mcp with the header Authorization: Bearer <key> instead.
What to ask once it is connected
Say what you want: the agent finds the endpoint and its price, then calls it; finding and reading parameters are free.
You say
What it calls
Official Accounts with 咖啡 in the name
wechat_mp.accounts.search
The titles of this account's last 30 articles
wechat_mp.accounts.articles.list
Read this article and sum it up
wechat_mp.articles.get
These articles' reads and likes
wechat_mp.articles.metrics
What does it cost?
Paid per call; a failed call is not charged. One article's text is $0.05635; the free trial covers up to 333 calls. Give the agent its own key with a limit; X-Max-Price caps what one call may cost.
Why DataXAPI
Steady: endpoints were available 99.9% of the last 30 days, on a public status page you can check.
Fast: a paid call took 3.5 seconds at the median over the last 7 days (counted 2026-11-06).
Fewer tokens: across 8 endpoints on WeChat Official Accounts, one recorded real response each, the platform's own JSON comes to 21k tokens and what an AI reads through DataXAPI's MCP server to 4,494, 79% fewer; the JSON of a direct API call is 70% fewer too (counted 2026-11-06). Every platform answers in one shape: the author in author, counts in metrics, the next page in page.next_cursor, so another platform needs no new parser.
See before you pay: every endpoint's page shows a recorded real response, field by field.
Spending you control: a failed call is not charged; each key can have a limit, X-Max-Price caps one call, and the same Idempotency-Key within 24 hours is never charged twice.
Ready for AI: a remote MCP server listed in the official MCP registry as com.dataxapi/mcp, usable from Claude, Cursor and ChatGPT.
Free trial of up to 333 calls, no card.
Endpoints
Each with its price; every page has the parameters, the fields and a recorded response.