090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
1 datasets
Wikipedia retail-interest velocity (agent-curated)
Daily consumer-interest velocity signals for 17 shopping-relevant Wikipedia topics (shopping events, electronics, gaming, home appliances, home goods, toys, beauty, apparel, fast fashion, sporting goods), from the official keyless Wikimedia pageviews REST API (en.wikipedia, all-access, all-agents). Each day the trailing 120 UTC days of daily pageviews are fetched per topic (1.2 s pacing, polite User-Agent; API-omitted days stay explicit nulls on a full date grid, never zero-filled) and scored deterministically: views on as_of, 7-day and 30-day rolling averages, baseline_90d (median of the 90 days in [as_of-96d, as_of-7d], current week excluded) with baseline_std_90d, z_90d = (7d avg - baseline) / std (0.0 when the std is zero), wow_velocity_pct (7d avg vs the prior 7d), trend_30d_pct_per_day (OLS slope over 30d, in %/day) with trend_direction (rising >= +0.5 %/day, falling <= -0.5 %/day, else flat), spike_flag (spike: z >= 3, elevated: z >= 2, lull: z <= -2, else normal), and interest_heat = 100 * min-max-normalized z_90d within the snapshot, ranked as heat_rank (1 = hottest; ties: views desc, topic asc). Who joins this: an online shop joins per-topic daily interest heat to its category marketing calendar on (as_of, topic); a retail media planner joins on retail_category + as_of to time category campaigns around attention spikes. Primary key: (as_of, topic); join keys: as_of, topic, retail_category. Nullability: baseline_std_90d is null when fewer than 2 baseline days are observed; no country split is published (global English-Wikipedia readership). Caveats: pageview spikes can be news-driven rather than purchase intent; interest_heat is a within-snapshot relative measure, not comparable across days; the API lags ~1 day so as_of is the last complete UTC day. Sample use: filter spike_flag = 'spike' for today's surging shopping topics, or order by heat_rank for the day's hottest retail interest.
Once today's free allowance is used up, AI features can run on your own provider account.
Kept in this browser tab only (cleared when you close it) and sent with each AI request. Our servers use it for that request and never store or log it.