get_earnings_intelligence

dev.stocklake/stocklake · Verify this server

Upcoming earnings with AI context — AI scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to one sector (e.g. "Technology") - min_ai_score: only return stocks with AI score >= this value, 0-100 (optional). Renamed 2026-08-24 from the retired 0-10 min_flag_score — gates on the same stock_ai_summary.py ai_score field the response already returns, rather than the raw legacy flag_score field, which is no longer part of this fleet's public vocabulary at all. Applied server-side before `limit` truncates the result — a stock with a qualifying score always counts against `limit` ahead of one without, rather than being cut off first for reporting later in the earnings window. - limit: max results to return (default 25, max 25). Each returned ticker counts as one call toward your daily limit — see the docs' rate-limit section. Returns per stock (sorted by earnings_date ascending): - earnings_date: ISO UTC timestamp · is_estimate: whether date is estimated - symbol, name, sector, price, rsi, market_cap - eps_trailing, eps_forward (earnings expectations context) - ai_verdict (positive/neutral/negative, from nightly AI pipeline) - ai_score (0-100) / ai_score_band (Weak/Moderate/Strong/Very Strong) — stock_ai_summary.py's own composite score, same 0-100 scale/band convention as signals.signal_score but a distinct field/pipeline; null if this stock has no ai_summary doc yet. - ai_risks: top 2 AI-identified risk factors - analyst_rating, analyst_target Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.