Data quality

Data you can trace. Data you can trust.

Every data point in CarVector is reconciled against multiple authoritative sources. Every correction is logged. Every claim is traceable.

The problem

The problem with vehicle data

Most vehicle databases trace back to a single commercial dataset assembled years ago and resold, repackaged, and silently degraded ever since. Nobody can tell you where a horsepower figure came from, when it was last checked, or whether the 2019 entry is just the 2018 entry with the year bumped.

We decided that was unacceptable.

How we think about data quality

Multi-source reconciliation

We don’t trust a single source. Specs are cross-referenced against federal regulatory datasets, manufacturer publications, and structured knowledge bases. When sources disagree — more often than you’d expect — we log a correction.

Correction-grade data

Every correction captures what changed, what we trusted, and why. Thousands of corrections and growing — each one a data point that would be wrong in a single-source database.

Complete recall coverage

Federal recall campaigns mapped to year/make/model and refreshed automatically — the safety history most vehicle APIs don’t ship at all.

Provenance on demand

Business and Enterprise customers access the full correction and source trail through the API. If you need to demonstrate where your data came from — for compliance, audit, or training-data requirements — we’re built for that.

See it for yourself.

Free tier. No credit card.