090°Données ouvertes
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.
1 jeux de données
USAspending federal award momentum (keyless API)
Monthly federal-obligation momentum for the 50 US states + DC, from the official keyless USAspending.gov API (U.S. Department of the Treasury; place_of_performance scope, all award types). One POST per calendar month (2019-01 through the last complete month) to /api/v2/search/spending_by_geography/; the 57 API shape codes are filtered to the closed 50-state + DC vocabulary (territories and the blank international bucket dropped). Deterministic scoring per state: obligated_usd, national_total_usd, state_share_pct, mom_pct and yoy_pct (null unless the comparison month is positive), baseline_12m (median of [m-12, m-1], needs >= 6 months) with baseline_std_12m, z_12m = (x - baseline) / std (0.0 when std is zero), momentum_tier (surging z >= 2, elevated >= 1, cooling <= -2, soft <= -1, else steady), and award_heat = 100 * min-max-normalized z_12m within the month, ranked as heat_rank (1 = hottest; ties: obligated_usd desc, state_code asc). Who joins this: a B2B sales team joins monthly award momentum on (month, state_code) to its territory table to prioritize states where federal dollars are accelerating; a subscription business selling to government contractors reads national_total_usd as a demand-cycle feature. Primary key: (month, state_code); join keys: month, state_code, country_code ('USA'). Caveats: amounts are nominal USD obligations as reported (deobligations can print negative state-months; kept as-is); USAspending revises history, so a re-run can mint a new snapshot; award_heat is within-month relative, not comparable across months. September prints run hot (fiscal year-end obligation surge).
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