Space & Satellite Intelligence API
Predict satellite passes, detect orbit changes, screen conjunctions, compare earth-observation metadata, assess cloud cover and image quality, extract imagery license metadata, analyze launch-window weather, compare space-object catalogs, and build observation evidence reports—using caller-supplied records plus optional key-free CelesTrak GP and Open-Meteo data.
Predict approximate satellite passes over caller-supplied observers from TLEs (or optional key-free CelesTrak GP). Uses simplified Keplerian propagation; communicate orbital uncertainty and TLE freshness.
Compare before/after TLE mean elements for inclination, RAAN, mean motion, and apogee/perigee deltas. Maneuver confirmation is not claimed.
Screen approximate miss distances between caller-supplied TLEs over a horizon. Not a covariance-based conjunction assessment.
Compare before/after caller-supplied EO scene metadata (NDVI, brightness, cloud cover). Commercial imagery pixels are not downloaded.
Classify caller-supplied cloud-cover percentages for EO scenes. Commercial imagery archives are not queried.
Score caller-supplied sharpness, SNR, resolution, and cloud metrics for EO scenes. Missing metrics are not invented.
Extract and classify caller-supplied imagery license, attribution, and license URL fields. Legal advice is not provided.
Analyze caller-supplied weather samples or optional key-free Open-Meteo hourly forecasts against simple go/no-go thresholds.
Compare left/right caller-supplied space-object catalog rows by NORAD ID/name and optional element fields.
Aggregate passes, orbit changes, conjunctions, EO change, cloud/quality/license checks, launch weather, and catalog comparison with orbital uncertainty and TLE freshness notes.