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Use this when you need to look up a Twitter/X user profile by username or URL. Returns structured profile data including bio, follower/following counts, tweet count, verification status, and recent activity. 1. username: the @handle 2. displayName: full name 3. bio: profile description text 4. followers: follower count 5. following: following count 6. tweetCount: total tweets posted 7. verified: blue checkmark status 8. createdAt: account creation date 9. avatarUrl: profile picture URL 10. bannerUrl: header image URL 11. location: stated location 12. website: linked URL 13. pinnedTweet: text of pinned tweet if any Example output: { "username": "elonmusk", "displayName": "Elon Musk", "bio": "...", "followers": 195000000, "following": 850, "tweetCount": 45000, "verified": true, "createdAt": "2009-06-02" } Use this FOR social media due diligence, influencer research, competitor monitoring, or verifying the legitimacy of an account before trusting its content. Do NOT use for tweet search -- use twitter_search_tweets instead. Do NOT use for trust/security scoring -- use trust_score_evaluate instead. Do NOT use for email lookup from social -- use email_find_by_name instead.

Use this when you need to find tweets about a topic, brand, event, or keyword. Returns up to 20 recent tweets matching the query with full text, engagement metrics, author info, and timestamps. 1. query: the search term used 2. results: array of tweet objects 3. Each tweet contains: id, text, author (username + displayName), createdAt, likes, retweets, replies, views, url 4. resultCount: number of tweets found Example output: { "query": "x402 protocol", "resultCount": 15, "results": [{ "id": "1234567890", "text": "x402 is the future of agent payments...", "author": { "username": "web3dev", "displayName": "Web3 Dev" }, "likes": 42, "retweets": 12, "replies": 5, "views": 1200, "createdAt": "2026-04-13T09:30:00Z" }] } Use this FOR market sentiment analysis, brand monitoring, competitor tracking, news discovery, trend detection, or finding what people say about a topic in real-time. Do NOT use for profile data -- use twitter_scrape_profile instead. Do NOT use for web search (non-Twitter) -- use web_search_query instead. Do NOT use for sentiment analysis of text -- use text_analyze_sentiment instead. Do NOT use for crypto news -- use crypto_get_news instead.

Use this when you need to see what a specific Twitter/X user has been posting recently. Returns their latest tweets with full text, engagement metrics, and timestamps. 1. username: the @handle queried 2. tweets: array of tweet objects with id, text, createdAt, likes, retweets, replies, views, isRetweet, isReply 3. tweetCount: number of tweets returned Example output: { "username": "VitalikButerin", "tweetCount": 10, "tweets": [{ "id": "...", "text": "Excited about the new EIP proposal...", "likes": 5200, "retweets": 890, "views": 250000, "createdAt": "2026-04-12T14:00:00Z", "isRetweet": false }] } Use this FOR monitoring specific accounts, tracking influencer activity, analyzing posting patterns, or gathering content from thought leaders. Do NOT use for profile bio/stats -- use twitter_scrape_profile instead. Do NOT use for topic search -- use twitter_search_tweets instead. Do NOT use for social profile lookup across platforms -- use social_lookup_profile instead.

List merchant knowledge base documents (uploads + scraped URLs). Use reviewStatus/syncable to see what is ready for agent retrieval. Pass `updatedAfter` for delta sync. Reviewed content is fetched via GET /v6/merchant/ai/knowledge/{id}/content; source audit text is available with ?variant=extracted.

Fetch a URL's content into the knowledge base. Server crawls the URL, stores the response body in R2, returns the new document ID. Failures store the row with status='failed'. Use for adding marketing pages, FAQ docs, or external references the agent should be aware of.

Add a website (URL-scraped) document to a knowledge base. File uploads (pdf/txt/docx) must use the Famulor dashboard or a direct multipart/form-data call.