Koalcheck

★ CORE. Fetch the recent views of specific X analysts/KOLs by handle. The user names the analysts they follow (e.g. ["DeItaone", "unusual_whales"]). Optionally focus on one `ticker`. Returns, per analyst: overall stance, which tickers they're talking about, and their recent points. Present this to

★ CORE. Compare several analysts' takes on ONE ticker and surface the clash. Groups the named analysts into bull / bear / neutral camps and returns their points so you can construct each side's case (paraphrased), then judge whether BOTH opposing views are internally reasonable, what evidence would

Search X with full operators (e.g. '$AAPL lang:en -is:retweet', 'from:handle'). General-purpose X search with sentiment scoring; use `analyst_views` when the user cares about specific accounts. Summarize results; don't echo tweets verbatim.

Blended retail sentiment for a ticker across X, StockTwits, and Reddit. Use this to corroborate (or challenge) an analyst's view with the broader crowd. `sources` defaults to all three.

Recent StockTwits posts for a ticker with author-tagged bull/bear labels.

Tickers currently trending on StockTwits (a retail-attention radar).

WSB retail-attention for a ticker: mention count, rank, and 24h momentum. Backed by ApeWisdom (reliable). A sharp jump in mentions/rank = a retail- attention spike — often a contrarian/risk flag, not a buy signal.

★ COMPOSITE (Pro). One signed score (−100 bearish … +100 bullish) that blends the analysts who called this ticker — each vote WEIGHTED BY THEIR TRACK RECORD (the moat) — with SEC insider buying/selling and free retail (StockTwits) sentiment. Shows a transparent per-component breakdown + coverage +

★ SCREENER (Pro). Rank a universe of tickers by the composite score. source: 'analysts' (tickers your followed analysts have called — ranked by who's been RIGHT) | 'trending' (StockTwits + WSB retail-hot tickers) | or pass an explicit `universe=[...]`. mode: 'bullish' (highest composite first — mul

★ SEC 8-K — recent MATERIAL EVENTS (earnings, exec changes, M&A, restatements). Catalysts that should move or confirm an analyst's thesis, point-in-time by filing date. Item codes are mapped to plain language (2.02=earnings, 5.02=exec change, 4.02=restatement red flag, 7.01=guidance…). Free, keyles

SEC/FINRA short-sale VOLUME % for a ticker (last few trading days). Heavy short volume = selling pressure or a squeeze setup (direction-ambiguous). This is daily short VOLUME (flow), NOT short INTEREST (outstanding). Free. Not advice.

★ SEC fundamentals — is the company actually growing & profitable? Latest annual revenue + YoY growth, net income, net/gross margin from SEC XBRL (keyless, point-in-time by filing date). Use it to check whether an analyst's 'accelerating growth' narrative matches the reported numbers. FREE. Not adv

★ SEC Form 4 — are company INSIDERS buying or selling this ticker? Open-market purchases/sales by officers, directors, and 10% owners (Section 16), point-in-time and KEYLESS from SEC EDGAR. Corroborates an analyst's view: "analyst bullish AND insiders buying" = high conviction; "analyst bullish BUT

Most-mentioned tickers on r/wallstreetbets right now (retail-attention radar, via ApeWisdom).

★ ANTI-IMPOSTOR. Is this account the REAL, credible analyst — or a copycat? Returns the account's authenticity signals (verified, followers, account age, post count) and a credibility score (0-100) + label (high/medium/low-possible- impostor), plus its PERMANENT account id and any same-name account

★ MOAT (Pro). How ACCURATE has this analyst been? Scores their past calls against what the stock actually did vs the market (SPY). Resolves the @handle to the analyst's permanent account id (rename-proof), extracts scorable calls from stored tweets, evaluates each against historical prices at 1/5/2

What has this analyst called LATELY? Their most-recent STORED calls — ticker + direction (bullish/bearish) + date + a link to the original post (and a short snippet of it). PURE READ of already-stored data (no live fetch, no X cost): this is 'their recent views as we recorded them', distinct from an

Which analysts called this ticker, and were they right? Lists stored calls on the ticker with each call's benchmark-adjusted outcome at the given horizon. Analytics, not advice.

Stats on the persisted tweet database (the durable, queryable record). Every analyst tweet fetched is stored with timestamp, tickers, sentiment, and media (image/video URLs). This is the backing data for provenance and for the analyst track-record features.

Live price + volume + turnover (换手率) + market cap + basic valuation for a ticker. Returns last price & % change, day open/high/low, volume + 10-day avg volume, turnover_pct (换手率 = volume ÷ shares outstanding), market cap, 52-week range, and best-effort trailing/forward P/E + P/S + sector. Intraday

The honest track-record leaderboard — who has ACTUALLY been right (priced vs SPY). Reads the daily honest board (21d hit-rate, Wilson 95% CI, bull/bear split, cross-regime flag, point-in-time vs SPY). `view`: • 'proven' — PROVEN tier (Wilson-CI lower bound > 0.5 + cross-regime); the trust c

YOUR membership tier + today's live-fetch quota for THIS connection. Tells you the plan you're authenticated as (free / pro), how many of today's shared live-fetch pulls you've used (real-time search / view refresh / debate / x-sentiment all draw from one daily pool), and that DB-read tools are unc

OPERATOR-ONLY. Serve a batch of analyst tweets whose per-ticker direction needs accurate classification, plus the rubric to classify them by. Candidates = tweets with ≥1 cashtag that have NOT yet been LLM-reviewed. Each item carries the tweet text (fenced as data), its cashtags, and the current heu

OPERATOR-ONLY. Persist the host LLM's per-ticker direction verdicts from a `direction_review_batch`. `verdicts` is a list, one entry per tweet: [{"tweet_id": "...", "verdicts": [ {"ticker": "NVDA", "is_call": true, "direction": "bullish|bearish|neutral", "confidence": 0.0-1.0, "convi