Catalog / Consumer & Retail Ops / Data feed
Consumer & Retail Ops · intraday ban:medium tB

Delivery-fee drift for a fixed McDonald's order on Uber Eats/DoorDash

total delivery fee + surge multiplier for an identical McDonald's order at a fixed set of store IDs, sampled at fixed times of day

Feed detail
Measures
total delivery fee + surge multiplier for an identical McDonald's order at a fixed set of store IDs, sampled at fixed times of day
Source
ubereats.com / doordash.com public order-preview API (no login needed to view pricing)
Access
json-api
Cadence
intradayupdates multiple times a day
Thesis
delivery-fee/surge drift is a proxy for platform take-rate pressure and local demand tightness, feeding UBER/DASH take-rate models
Maps to
UBER, DASH stock
Crowdedness
contested
Tier
tB
Ban-risk
ban:medium
Where this stands

This is a catalogued data feed with a research idea attached, not a validated edge. Being listed here means it has a specific source and a one-sentence causal mechanism mapped to what it should move — it doesn’t mean it has cleared the five-stage validation gate (point-in-time hygiene, out-of-sample holdout, multiple-testing correction, and the portfolio-layer backstop). As of today, every score on this site is prior-only; zero signals in the catalog have been promoted to “measured” status. See the methodology page for the full validation process and current counts.

Browse the rest of Consumer & Retail OpsStore-level traffic, pricing, and inventory signals ahead of retail same-store-sales prints.