Quick-Commerce Stock & ETA Index
Half-hourly stock, delivery-time and price snapshots from 900 dark stores in 14 cities.
- Records
- 58M store × SKU snapshots
- Refresh
- Every 30 minutes · monthl…
Quarterly technology snapshots for 900K company domains, with the vendor switches detected between them.
Knowing which tools a company uses is useful; knowing what they just stopped using is far more actionable. We fingerprint the public web presence of 900,000 company domains every quarter across 400 tracked vendors, then compare consecutive snapshots to produce explicit migration events: vendor added, vendor removed, and the category it happened in.
Each event carries a confidence score and the evidence type behind it, so your sales or research team can filter to the signals worth acting on.
| Field | Type | Description |
|---|---|---|
domain / quarter |
string | Company domain and snapshot quarter |
country / industry |
string | Headquarters country and sector |
employee_range |
string | Size band, e.g. 51-200 |
categories |
array | Categories where technology was detected |
vendors_detected |
array | Vendors present in this quarter |
vendor_added / vendor_removed |
array | Changes since the previous quarter |
migration_event |
string | e.g. analytics: vendor_x → vendor_y |
evidence_type |
string | script_tag, dns_record, http_header, job_post |
confidence |
decimal | Detection confidence, 0–1 |
domain,quarter,country,industry,employee_range,vendor_added,vendor_removed,migration_event,evidence_type,confidence nimbuslogistics.example,2026Q2,ES,Transportation,51-200,"vendor_y","vendor_x",analytics: vendor_x → vendor_y,script_tag,0.93 finlytics.example,2026Q2,DE,Finance,201-500,"warehouse_b",,data_warehouse: added warehouse_b,job_post,0.71 aarogyadx.example,2026Q1,IN,Healthcare,201-500,,"crm_a",crm: removed crm_a,dns_record,0.84
Illustrative sample showing the structure of the data. The full dataset is delivered after purchase.
Half-hourly stock, delivery-time and price snapshots from 900 dark stores in 14 cities.
24 months of matched prices, sales rank and review velocity for 120K SKUs across six marketplaces.
Daily snapshots of 180+ hosted and open models: prices, context windows, limits and benchmark scores.
Tell us what you are trying to predict, automate or understand. We will reply within one business day with an approach, a timeline and a quote.