X (Twitter) Agent
Research public X / Twitter profiles, posts, communities, and trends — read-only, inside your assistant.
The X Agent turns the public X / Twitter surface into agent-callable research: profiles and engagement, recent posts, quote-tweet and like sentiment, communities, lists, and regional trends. It owns the X (Twitter) Data Skill — the deterministic read path — and composes the Role-Agent Skills that back KOL pricing, creator vetting, buying-signal, and competitor work, all without browser automation, and never posts.
X (Twitter) Agent composes the Role-Agent Skills that read X and exposes its public-data API. Same capabilities, sliced by source — read-only.
An X research brief: profiles, engagement, sentiment, and trends — each figure cited to a post.
- Profile + engagement records for handles you name
- Post, quote-tweet, like, and repost evidence with sentiment
- Community, list, and regional-trend signal
- Every figure cited to the public post
Who runs this Agent
- Marketers researching creators, audiences, and pricing from public X data
- Sales teams reading public buying intent on X
- Competitive and brand teams sizing reaction and trends on X
Paste this into Claude or Codex
The prompt is editable. Replace the brand, market, competitors, or location, then let the assistant call UnifAPI MCP when it needs live public data.
Research these X accounts and the conversation around our category: pull profiles and recent engagement, the quote-tweet and like sentiment on their top posts, and any related trend. Return a cited brief — read-only, do not draft or post anything.
From public records to a decision brief
Name the X targets
Give the agent the handles, a topic/term set, or a community to research — no account connection, just public reads.
Pull public X records
UnifAPI returns profiles, authored posts, engagement (likes/reposts/quote-tweets), communities, lists, and WOEID trends in one envelope.
Return the cited brief
The agent summarizes profiles, engagement, and sentiment, each tied to a post URL — then hands off to the composed Skills (pricing, vetting, signals).
The concrete tasks X (Twitter) Agent runs
A Skill is one concrete capability — a run-prompt the Agent executes. Open a Skill for its detailed workflow, expected output, and FAQ.
X data
EnhancedThe deterministic guide to reading public X/Twitter data through UnifAPI — profiles, posts, engagement, followers, search, and trends.
KOL pricing
EnhancedEstimate Twitter/X KOL rates from public engagement, audience fit, and risk.
Creator shortlist
EnhancedFind creators by niche, audience language, recent momentum, and platform fit.
Audience fit check
EnhancedVet a single creator's audience fit and brand-safety from public posts and engagement before outreach.
Buying signals
EnhancedWatch public X and LinkedIn for buying intent and return warm leads, each anchored to the post that proves it.
Competitor profiling
EnhancedTurn a competitor's public footprint into a structured, source-cited profile — positioning, product, pricing, and implications.
Social listening
EnhancedTrack public mentions and return a concise brief instead of a dashboard.
Public-data tools this Agent calls
Agents are the workflow layer. The same live APIs are callable directly for product code, debugging, and custom agent flows.
This is a read-only research agent for one platform. It reads public data and returns evidence — it never logs into, posts to, comments on, or messages on the platform, and it never holds your account credentials.
Questions about the X (Twitter) Agent
Scope, billing, public-data boundaries, and how this Agent runs inside your assistant.