Kalshi Prediction Markets vs uselessfacts

Side by side on the facts. GitHub figures come straight from each repository; ratings come from signed-in reviewers here.

MetricKalshi Prediction MarketsMCP Server uselessfactsMCP Server

Type: Kalshi Prediction MarketsMCP Server; uselessfactsMCP Server
Category: Kalshi Prediction MarketsOther; uselessfactsOther
GitHub stars: Kalshi Prediction Markets0; uselessfacts0
Trust scoreⓘAuditability and maintenance signals — not a security audit.: Kalshi Prediction MarketsNot yet assessed; uselessfacts74/100 · Good
Community rating: Kalshi Prediction MarketsNo reviews yet; uselessfactsNo reviews yet
Last commit: Kalshi Prediction MarketsUnknown; uselessfacts58 days ago
Licence: Kalshi Prediction MarketsNone declared; uselessfactsMIT
Official: Kalshi Prediction MarketsNo; uselessfactsNo
Source: Kalshi Prediction Markets Repository; uselessfacts Repository

Highlighted cells win that row on an objective measure. Rows without a clear winner — category, licence, source — are left unmarked. A higher trust score means better auditability and maintenance, not safer code.