Rank weather sources before trusting them.
A scoring layer for cost, credibility, load, region fit, status, usefulness, and readiness before real weather activation.
Every TheoB pathway can move through Past, Present, and Future without losing context.
Read current signals, conditions, and live context.
Saved discoveries · event and discovery dates
Discoveries through time
Living Intelligence Ecosystem · Saved evidence shared across Library, capsules, world and time.
Connecting this view to its project…
Voice ready
Do not activate a source just because it exists.
Weather Source Health ranks candidates before real activation. A source should earn trust through cost discipline, credibility, low load, regional fit, uptime, and usefulness.
Safe fallback source before real API activation.
Potential official weather source for US regions.
Potential structured API for forecast testing.
Future fallback only if free/public sources are not enough.
Health scoring keeps ingestion from getting sloppy.
Free and low-cost sources score higher until demand justifies paid APIs.
Official/public sources score higher than unknown or purely commercial feeds.
Low-volume sources score higher during early ingestion.
South Florida and United States sources score higher for the first region.
Active and candidate sources outrank paused or retired sources.
Future versions should incorporate reuse, accuracy, uptime, and user value.