Methodology

Every SatStack dataset is built the same way.

Data lives or dies on provenance. Each dataset follows the same four-stage pipeline, so that what you buy is transparent about where it came from, when it was captured, and how it was checked.

Sourcing — public sources only

Data is collected from public listings, public APIs and public search results. No gated, login-required or consumer-consented personal data appears anywhere in the pipeline.

Point-in-time capture

Daily snapshots and continuous monitoring, recorded as-of collection time. Backtests and models never see information they should not.

Validation against ground truth

Aggregate series are cross-checked against company-disclosed figures and first-party observations, with a published scorecard per dataset.

Delivery

Aggregated, anonymized, venue- and entity-level data, delivered via API, CSV or database. A data dictionary and sample accompany every engagement.

Data sources & privacy

Collection and handling follow a three-part framework:

Technical — de-identification. Aggregation and anonymization are applied at source; no consumer PII is collected.
Legal — GDPR-aligned. SatStack is a European entity; data processing follows GDPR, and data-processing agreements are available on request.
Organizational — review culture. Collection and validation are governed by internal standards, and series are checked against disclosed results before release.

Coverage today

Merchant data is live for Wolt and Uber Eats in Germany and expanding across the EU and Latin America. Brand monitoring runs globally. See coverage for the full picture.

Questions about a specific dataset? Write to us.