Half-hourly stock, delivery-time and price snapshots from 900 dark stores in 14 cities.
Quick-commerce apps promise delivery in minutes, which makes their availability data the fastest signal of real demand and supply. Every 30 minutes we capture the catalogue of each dark store — what is in stock, what is sold out, the quoted delivery time and the price at that moment — and match products across retailers so the same item can be compared city by city.
Use it to measure fill rates and lost sales, watch a competitor open new micro-markets, or feed near-real-time availability into demand models. Historical snapshots go back 14 months.
| Field | Type | Description |
|---|---|---|
snapshot_at |
timestamp | Capture time in UTC |
store_id |
string | Stable dark-store identifier |
retailer |
string | Normalised retailer name |
city / country |
string | Store location |
geohash6 |
string | Approximate service area of the store |
sku_id |
string | MachineLabs product identifier, matched across retailers |
product_name |
string | Cleaned product title |
in_stock |
boolean | Availability at capture time |
eta_minutes |
integer | Quoted delivery time |
price_local / currency |
decimal / string | Price as shown to the shopper |
price_usd |
decimal | Converted at the daily reference rate |
promo_flag |
boolean | Discount or bundle detected |
substitution_offered |
boolean | Alternative suggested when out of stock |
snapshot_at,store_id,retailer,city,country,sku_id,product_name,in_stock,eta_minutes,price_local,currency,price_usd,promo_flag 2026-09-08T09:30:00Z,DS-BER-04,Retailer A,Berlin,DE,SKU-88213,Oat drink 1L,false,11,2.49,EUR,2.71,false 2026-09-08T09:30:00Z,DS-SG-02,Retailer B,Singapore,SG,SKU-88213,Oat drink 1L,true,12,4.20,SGD,3.24,true 2026-09-08T09:30:00Z,DS-DXB-07,Retailer C,Dubai,AE,SKU-10482,AA batteries (8 pack),true,17,21.00,AED,5.72,false
Illustrative sample showing the structure of the data. The full dataset is delivered after purchase.
24 months of matched prices, sales rank and review velocity for 120K SKUs across six marketplaces.
1.1M product reviews labeled to a 46-class defect taxonomy in seven languages.
Daily snapshots of 180+ hosted and open models: prices, context windows, limits and benchmark scores.
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