Argyle

Argyle — Consumer-authorized gig-economy earnings, employment and trip-activity dataset joined across 30+ rideshare/delivery platforms: 170+ structured data fields per worker including per-platform earnings and cash-flow history, past and present rideshare/delivery engagement, driver tenure and multi-platform income stacking, plus 'trip transparency' distinguishing commercial vs personal vehicle use and when each applies. High-value, tightly-governed scale: 30+ gig platforms connected, 91% U.S. gig-workforce coverage, 170+ fields per worker, ~150 employees, ~$129.9M raised (Series C), New Yor…

Argyle offers (Alternative, Fundamental, Sentiment) — Est. hundreds of millions of structured records cumulatively: 170+ fields per connected worker x millions of consented connections, plus recurring earnings-refresh pulls per active borrower relationship; trip-transparency records add per-trip or per-window granularity, which is the highest-volume layer (est. 10^8+ trip-level observations across 30+ platforms).

Gig-labor supply and earnings-elasticity panels (real earnings across platforms and time); utilization/supply-availability modeling for curbside and airport queue analysis; driver-churn and multi-homing (simultaneous platform use) measurement; income-underwriting and credit models for gig borrowers; commercial-vehicle insurance usage-based pricing from commercial-vs-personal trip splits; labor-market and alternative-data indices for hedge funds; benchmarking platform pay and incentives

The data is with 8 years of history.

Coverage spans US; Financial Exchanges & Data, Consumer Finance; alternative, fundamental, sentiment; equities, fixed_income.

The supplier's own access route is a conversation with the supplier. Request a sample through Brickroad to start.