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Données ouvertes

Bibliothèque

Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.

Les titres et les descriptions proviennent des sources de données, en anglais.

2 jeux de données

news
  • AI Product Launch Signals (agent-curated)

    AI Product Launches — Weekly Tracker

    Weekly curated snapshot of AI products that actually launched: new models, agents, devtools and AI features that became generally available, went live in an API/app/store, or were open-sourced in the trailing 7-day window. Each row records the exact announcement URL, a deterministic category and pricing signal, and an evidence score that rewards independent corroboration and recency. Method: agent-curated — each weekly sweep searches public AI news digests and product-coverage pages for launches in the trailing 7-day window (inclusion: GA/live/open-sourced; excluded: announced-only, waitlists, previews without user access, future GA dates, planned launches, models still training). No keyless programmatic launch API exists for this domain (GDELT refused traffic from this environment on 2026-09-24; news sites prohibit scraping), so collection is manual and each snapshot is ingested through the hub store/publish path with provenance 'agent-curated' plus the run timestamp. Units: one row per launched AI product per week. Columns: ISO week, sweep timestamp, deterministic launch id (canonical company slug + product slug), product and canonical company name, company country (ISO alpha-3 + name, empty when the coverage does not state it), deterministic keyword category (model, agent, image-generation, video-generation, audio, robotics, devtools, productivity, marketing, ecommerce, security, legal, other), deterministic pricing signal (free, freemium, paid, enterprise, unknown), launch date, one-line agent-written summary (<=220 chars), exact announcement URL, count and comma-joined list of coverage URLs, launch_score = 100 * (1 + ln(1 + coverage_count)) * exp(-age_days / 7), and launch_rank (1 = strongest signal) by score desc, tie-broken by launch_date desc then launch_id asc. Primary key: (week, launch_id). Cadence: weekly. Nullability: company country fields are empty when not stated in coverage; everything else is always populated. Caveats: curated from public coverage, so unpublicized launches may be missing and launch dates reflect the first public launch report seen; category and pricing_signal are deterministic keyword rules on the summary, not editorial judgments; coverage is English-language press plus vendor announcements. Sample use: order by launch_rank for the week's strongest launch signals, or filter category = 'model'.

    • ai
    • technology
    • startup
    • news
    lignes
    28
    Qualité
    99
    Mis à jour
    25 sept. 2026
    À jour
    Licence
    Usage commercial OK
  • Geopolitical-Risk Signals (derived)

    Geopolitical-risk signals (Caldara-Iacoviello GPR)

    Monthly geopolitical-risk signals from the Caldara-Iacoviello GPR data export (1985 -> latest): the benchmark GPR index plus the threats and acts subindices, with 1-month and 12-month changes, 30-month annualized change volatility, 3-sigma anomaly flags, drift forecasts, 5-year tension-regime z-scores, high-risk and spike flags, and the threat-minus-act spread. The news-risk lens on geopolitics — the geopolitical companion to the policy lens in epu-signals and the financial lens in finstress-signals. Raw data: Caldara & Iacoviello.

    • geopolitical-risk
    • gpr
    • news
    • risk
    lignes
    1 500
    Qualité
    92
    Mis à jour
    22 sept. 2026
    À jour
    Licence
    Licence incertaine

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