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Data Quality Signals
Every API response includes quality metadata so your system can make trust-aware decisions. Confidence labels (HIGH, MEDIUM, LOW), model verification status, and match quality signals are returned on every lookup. Additional signals — image count, freshness, manual availability — are being added.
Included in all responses
What it does
Per-record signals about data trust, freshness, image quality, manual availability, and enrichment completeness.
Example Request
GET Included in all responses Authorization: Bearer YOUR_API_KEY
How it works
- Your system calls any ApplianceAPI endpoint
- Response includes confidence label (HIGH/MEDIUM/LOW) and verification verdict
- Your application uses quality signals to decide display behavior or routing
- Low-confidence records can be flagged for manual review in your workflow
Why it matters
- Display appliance photos only when confidence is HIGH — avoid bad images
- Route low-confidence records to manual review instead of showing uncertain data
- Build conditional logic: show specs only when record completeness is above threshold
- Audit trails include data quality metadata for compliance documentation
- Improve customer trust by only surfacing well-verified information
Who uses it
- Conditional display logic
- Trust-aware enrichment
- Quality-based routing
- Audit and compliance workflows
Current availability
Confidence labels (HIGH/MEDIUM/LOW) and model verification verdicts are live on all API responses today. Additional signals including image count, last-verified date, and manual availability are in development.
Related features
Model Verifier
Validate model numbers before dispatch. Catch typos and invalid entries before they cause bad service calls.
Appliance Photos API
Verified, human-reviewed appliance product photos returned by model number. Embed anywhere.
Model Lookup API
Identify appliance brand, type, and title from a model number. Normalize messy CRM data.
Start using this feature
Join the waitlist for API access. Launching Spring 2026.