Unif API Docs
Twitter / X

Twitter / X API

Public-data Twitter / X endpoints.

Public-data Twitter / X endpoints.

When To Use This API

The Twitter / X API is for agent workflows that need public, platform-native data without writing a custom collector for every task. Use it when a prompt needs evidence from live social records, when a Skill needs repeatable enrichment, or when product code needs the same contract an agent discovered through MCP.

This section lists 35 live Twitter / X operations from the canonical OpenAPI spec. Each operation page documents the route, method, parameters, response envelope, pagination behavior when available, and the error vocabulary shared across UnifAPI.

  • Fetch public X users, posts, lists, communities, trends, search results, and relationship checks.
  • Give market, KOL, and competitive-intelligence agents a stable Twitter / X data contract.
  • Batch public identities and posts into comparable response shapes for ranking, monitoring, or enrichment.

Agent Contract Notes

Agents usually discover these endpoints with the hosted UnifAPI MCP server, inspect the operation schema, then call only the records needed for the current task. Developers can call the same endpoints over HTTP with an API key, which makes the path from exploratory agent run to production integration direct.

Every successful response uses a stable envelope with a request id, data payload, optional pagination cursor, and billing metadata. Errors use the same closed vocabulary across platforms, so retry logic, user-facing explanations, and cost reporting can stay consistent even when a workflow spans multiple public-data sources.

When you are choosing an operation, start from the public identifier the user already has: a profile username, post id, channel id, subreddit name, search term, or URL-derived slug. Prefer the narrowest endpoint that answers the question, then expand only when the agent needs more evidence. This keeps record usage predictable, makes citations easier to explain, and avoids turning a focused research task into an expensive crawl.

Operations

Autocomplete

Communities

Friendships

Lists

Tweets

Users

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