Full AI research bundle for a stock in one call - fundamentals, AI-generated summary, recent AI-classified news, insider/institutional signal, and recent trade signal history. Replaces 4 separate calls: get_stock + get_stock_news + get_insider_activity + get_signals (for one symbol).

Returns:

• stock: price, name, sector, rsi, pe_forward, market_cap, 52-week range, analyst data

• ai_summary: verdict, ai_score (0-100)/ai_score_band (Weak/Moderate/Strong/ Very Strong - the AI research composite, same scale and bands as signal_score but a separate score), full summary, key_points, risks, price_at_generation, generated_at, headline (one-sentence plain-language take), near_term (stance/confidence over <4 weeks - technicals/momentum-weighted), longer_term (stance/confidence over a multi-month horizon - fundamentals/analyst/institutional-flow-weighted). headline/near_term/longer_term are null on summaries generated before this schema shipped - until that symbol's next regeneration, fall back to verdict/ai_score.

• news: last 3 high-relevance articles (title, published_at, ai_sentiment, ai_summary, signal_score [0-100]/signal_score_band - this symbol's current news-sourced signal score if one exists in the last 30 days [same number as the signals list below and get_signals()/get_stock_news(), kept in sync as it's re-scored], else a per-article magnitude computed from that article's own classification. One name, no separate "news_score" field. The 3 are distinct events: an article carries collapsed_count when several articles about the same event were merged into it.)

• filings[]: the latest SEC 8-K filings of the last 30 days, up to 3 (date, title, headline, summary, sentiment, items, sec_url). Empty when none in the window; get_stock_filings has the full list.

• earnings: {next, last_reported}. next = the coming report date (estimated_date says whether the date can still move) with the consensus; last_reported = the newest reported quarter in the last 100 days with revenue, EPS and, where available, the beat or miss (eps_surprise). null when neither is known.

• analyst_change: how consensus moved over the last 30 days - rating and mean target at the start and end, rating_score_change, direction (upgrading / downgrading / steady), target_change_pct, analyst_count_change. null with fewer than two analyst snapshots in the window; get_analyst_trend has the daily series.

• sentiment: signal, signal_score (0-100)/signal_score_band - one name, no separate "insider_score" field, same as the news block above - insider_trend (buying/selling/neutral, or null with no transactions in the window), institutional_pct

• signals[]: up to the 3 most recent trade signals for this symbol in the last 30 days (direction, rationale, signal_score [0-100], signal_score_band [human-readable label - "Weak"/"Moderate"/"Strong"/"Very Strong" - or null alongside a null signal_score], source, expires, flagged_at). Empty if nothing in that window. Signals stay listed for the full window even after they expire.

• forensic_scores: {altman_z, piotroski_f, beneish_m, computed_at} - three classic forensic-accounting formulas (Z-Score bankruptcy risk / F-Score fundamental quality / M-Score earnings-manipulation risk), computed from stocks.financials (GH #107). Omitted entirely if this symbol has no forensic_scores doc yet - not every symbol qualifies (financial-sector companies mostly return null on all three by construction, see the field's own note text). A withheld individual score always surfaces as {"score": null, "note": ""} - never a bare 0, never silently dropped from its own sub-block. Same shape get_stock()/get_stocks() already return.

All data is pre-computed by the Stocklake AI pipeline - no AI calls on request. Pro tier only. For informational purposes only. Not financial advice.