WeChat Channels API for AI agents and LLMs: fewer tokens, called from Claude and Cursor (2026)
DataXAPI has 15 WeChat Channels endpoints, and what an AI reads of them through MCP takes 85% fewer tokens than the platform's raw JSON: a page of 10 video search results is 8,252 tokens raw and 1,476 as the AI reads it. One key, no WeChat Channels account of yours. DataXAPI reads WeChat Channels with 15 endpoints, from $0.0150 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 Channels's raw JSON is made for its own app, with many fields nested deep. Across DataXAPI's 15 WeChat Channels endpoints, one recorded real response each, the raw JSON comes to 231k tokens and what an AI reads through MCP to 35k. 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
Popular WeChat Channels videos on latte art
wechat_channels.videos.search
This video's likes and shares (a share link)
wechat_channels.videos.get
This account's recent videos
wechat_channels.users.videos.list
This video's comments
wechat_channels.videos.comments.list
What does it cost?
Paid per call; a failed call is not charged. A page of 10 video search results is $0.0200; 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 99.0% of the last 30 days, on a public status page you can check.
Fast: a paid call took 2.3 seconds at the median over the last 7 days (counted 2026-11-06).
Fewer tokens: across 15 endpoints on WeChat Channels, one recorded real response each, the platform's own JSON comes to 231k tokens and what an AI reads through DataXAPI's MCP server to 35k, 85% fewer; the JSON of a direct API call is 82% 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.