Structured SEC events delivered via REST API
Direct access to structured events extracted from SEC filings using advanced LLM-based analysis. Each event captures what happened, who did it, when it occurred, and how significant it was.
Track specific tickers or monitor your entire portfolio
Acquisitions, auditor changes, red flags, growth signals
Events extracted within minutes of SEC filing
Real data from production database (November 2025)
Find the rarest, most important events for alpha generation
SELECT ticker, company_name, event_type, sentiment, idf_score, amount_usd
FROM events_enriched
WHERE idf_score > 8.0 AND materiality = 'material'
ORDER BY idf_score DESC LIMIT 5;
| Company | Event Type | Sentiment | IDF Score | Amount |
|---|---|---|---|---|
| CPS TECHNOLOGIES CORP | acquired_equity_capital_raise_minor | neutral | 15.38 | $9.5M |
| CHURCH & DWIGHT CO INC | discontinued_non-cash intangible | negative | 15.38 | $327 |
| LEGGETT & PLATT INC | divested_Aerospace Products Group | positive | 15.38 | $68M |
| AGCO CORP | divested_Grain & Protein business | positive | 15.38 | $810M |
💡 Insight: IDF scores >15 indicate extremely rare event types occurring in <0.01% of filings. Highest alpha signal.
Track events and subsequent stock performance for Boston Scientific (BSX)
SELECT event_type, sentiment, event_date, return_1m, return_3m, return_6m
FROM events_enriched
WHERE ticker = 'BSX' AND return_3m IS NOT NULL
ORDER BY event_date DESC LIMIT 8;
| Event Type | Sentiment | Event Date | 1M Return | 3M Return |
|---|---|---|---|---|
| authorized_other_material | neutral | 2025-08-01 | -0.12% | -5.68% |
| acquired_asset_acquisition | neutral | 2025-08-01 | -0.12% | -5.68% |
| announced_tariff_increase | negative | 2025-08-01 | -0.12% | -5.68% |
| completed_acquisition | positive | 2025-07-11 | -0.12% | -5.68% |
💡 Use Case: Build event-driven trading strategies by analyzing historical returns following specific event types.
Monitor high-risk corporate events: auditor dismissals, material weaknesses, investigations, restatements
SELECT ticker, company_name, event_type, event_date, filing_date
FROM events_enriched
WHERE event_type LIKE 'dismissed_auditor%' OR event_type LIKE 'material_weakness%'
OR event_type LIKE 'restated%' OR event_type LIKE 'investigated%'
ORDER BY filing_date DESC LIMIT 7;
| Ticker | Company | Event Type | Event Date | Filing Date |
|---|---|---|---|---|
| - | WESTLAKE CORP | investigated_regulatory_probe | 2024-10-01 | 2025-10-31 |
| - | Origin Bancorp | restated_accounting_correction | 2025-10-31 | 2025-10-31 |
| - | ENTERGY CORP | investigated_sec_investigation | 2024-12-01 | 2025-10-31 |
| - | DOMINION ENERGY | restated_financial_restatement | 2025-10-31 | 2025-10-31 |
| - | CLEVELAND-CLIFFS | material_weakness_identified | 2025-10-31 | 2025-10-31 |
💡 Use Case: Risk monitoring, short-selling signals, compliance tracking, portfolio risk management.
Expansion, innovation, and partnership events that led to exceptional stock performance
SELECT ticker, company_name, event_type, event_date, return_3m, idf_score
FROM events_enriched
WHERE (event_type LIKE 'expanded%' OR event_type LIKE 'patented%'
OR event_type LIKE 'commercialized%' OR event_type LIKE 'partnered%')
AND sentiment = 'positive' AND return_3m IS NOT NULL
ORDER BY return_3m DESC LIMIT 7;
| Ticker | Company | Event Type | Date | 3M Return | IDF |
|---|---|---|---|---|---|
| AURX | Nuo Therapeutics | commercialized_product_launch | 2022-04-15 | +6,999% | 7.32 |
| RNVA | Rennova Health | partnered_distribution | 2020-05-15 | +6,999% | 7.67 |
| RNVA | Rennova Health | expanded_market_expansion | 2020-06-26 | +1,799% | 7.04 |
| HCMC | Healthier Choices Mgmt | patented_core_technology | 2020-11-30 | +1,799% | 7.81 |
| DBD | DIEBOLD NIXDORF | partnered_joint_venture | 2023-08-09 | +839% | 5.02 |
💡 Use Case: Identify growth catalysts, innovation milestones, and partnership signals for momentum strategies.
Track material events for FAANG+ companies (AAPL, MSFT, GOOGL, AMZN)
SELECT ticker, event_type, sentiment, event_date
FROM events_enriched
WHERE ticker IN ('AAPL', 'MSFT', 'GOOGL', 'AMZN')
AND sentiment IN ('positive', 'negative') AND materiality = 'material'
ORDER BY filing_date DESC LIMIT 10;
| Ticker | Event Type | Sentiment | Event Date |
|---|---|---|---|
| AAPL | complied_settlement_compliance | positive | 2024-01-16 |
| AAPL | announced_investigation | negative | 2024-06-24 |
| AMZN | terminated_program | negative | 2024-09-30 |
| AMZN | authorized_buyback_program | positive | 2022-03-01 |
| MSFT | repurchased_buyback_completed | positive | 2025-06-30 |
| MSFT | discontinued_market_exit | negative | 2024-12-03 |
💡 Use Case: Competitive intelligence, sector analysis, and benchmark tracking.
Understand event frequency distribution across all filings
SELECT event_type, COUNT(*) as count, AVG(idf_score) as avg_idf
FROM events_enriched
WHERE materiality = 'material'
GROUP BY event_type ORDER BY count DESC LIMIT 10;
| Event Type | Count | Avg IDF |
|---|---|---|
| completed_acquisition_completion | 94,675 | 3.92 |
| complied_financial_compliance | 86,237 | 4.01 |
| received_payment | 74,655 | 4.15 |
| authorized_other_material | 72,859 | 4.02 |
| announced_acquisition | 61,571 | 4.35 |
| acquired_company_acquisition | 57,917 | 4.41 |
💡 Insight: Acquisition completions and financial compliance are the most common material events in SEC filings.
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WHERE ticker = 'AAPL'
WHERE sentiment = 'positive'
WHERE event_type LIKE 'acquired%'
WHERE filing_date >= '2024-01-01'
WHERE idf_score > 8.0
WHERE amount_usd > 100000000
ticker - Stock symbolcompany_name - Company nameevent_type - Event categorysentiment - positive/negative/neutralmateriality - material/routine/boilerplateconfidence - 0-10 quality scoreidf_score - Rarity (>8 = very rare)return_1m/3m/6m - Stock returnsamount_usd - Transaction sizeAccess complete API documentation, schema details, and code examples on GitLab