Stable normalization
Predictable names, ISO dates, typed flags, deduplication, and ready-to-import CSV and JSONL.
A normalized, risk-scored NHTSA recall feed for fleet software, dealership tools, insurance analytics, research, and AI products.
No signup for the sample · CSV + JSONL + schema · clear provenance
We preserve the public source and add the consistency your production workflow needs.
Predictable names, ISO dates, typed flags, deduplication, and ready-to-import CSV and JSONL.
A transparent 0–100 risk score and critical/high subsets help teams review urgent campaigns first.
New and updated campaign counts, schema versioning, checksums, freshness monitoring, and reliable delivery.
| NHTSA ID | Manufacturer | Potentially affected | Risk score | Risk level |
|---|---|---|---|---|
| 26V583000 | Daimler Trucks North America | 2,404 | 28 | Medium |
| Sample record | Normalized manufacturer | — | 70 | Critical |
Early pricing validates demand before we build unnecessary billing complexity.
No. NHTSA is the authoritative source; this independent service adds normalization, analytical scoring, packaging, monitoring, and delivery.
No. It is a deterministic prioritization aid based on advisories, safety language, and affected-unit scale.
The 100 most recent normalized records, CSV and JSONL formats, schema definitions, checksums, and provenance.
You pay for clean stable fields, enrichment, change detection, packaging, freshness monitoring, and reliable delivery—not ownership of public data.