Confidence-scored.
Community-verified. Methodology published.
Decision-grade data needs decision-grade methodology. Below: how we collect, score, and disclose. Reproducible. Documented. Open to scrutiny.
Consumer-panel collection
The WiFi Map consumer app, in continuous operation since 2014, collects opt-in connectivity signals — Wi-Fi visibility, speed-test results, venue tags, freshness markers — from contributors across 130+ active markets. Device IDs are hashed at ingest. Licensed datasets exclude credentials and PII by design.
Confidence model
Each observation is scored against four factors: freshness (recency-weighted), sample size (number of independent contributions), geographic precision (venue-level vs district-level), and venue match strength (tag concordance). The composite confidence score gates inclusion in licensed feeds — defaults vary by use case; full scoring functions are published.
Sampling bias transparency
Every dataset ships with documentation of known limitations: contributor-demographic skew, market-depth variance, time-of-day coverage gaps, indoor-vs-outdoor ratio. Honest disclosure beats optimistic numbers. If a market doesn't meet our minimum confidence threshold, we say so.
Data governance
The WiFi Map consumer app and wifimap.ai licensed B2B datasets are separate product surfaces. wifimap.ai licenses venue-level connectivity intelligence — Wi-Fi quality, speed, freshness, venue context, and confidence scores. Licensed datasets exclude credentials and PII by design.
FAQ
Do licensed datasets include Wi-Fi credentials?
No. Licensed datasets focus on connectivity intelligence — Wi-Fi quality, speed, freshness, venue context, and confidence scores. They exclude credentials and PII by design.
How fresh is the data?
Active markets are refreshed weekly; the freshness score per record indicates the recency of the most recent contribution behind it. Custom Market Pilots can request a specific freshness floor.
What does "confidence" mean numerically?
A 0–1 composite score combining freshness, sample size, geographic precision, and venue match strength. Most active venues sit at 0.80+; the scoring function is published in the full methodology paper.