54+ Data Endpoints & 71,000 RSS Feeds
Building reliable autonomous agents requires a dependable source of real-world intelligence. Rather than requiring developers to write and maintain dozens of custom scraping pipelines, pronto.stream operates a unified ingestion engine named Hermes Hotplane.
Core Ingestion Pillars
USGS Earthquakes, EMSC European Seismic Data, NOAA Tsunami Alerts, Global Volcanism Network.
Open-Meteo, ECMWF Ensemble Models, NASA FIRMS Fire Telemetry, Copernicus Atmospheric Monitoring.
71,000+ RSS feeds across 232 countries, GDELT Project v2 real-time event database, Reuters / AP syndications.
AIS Vessel Stream, OpenSky Network flight delays, Port of Rotterdam/LA container throughput sensors.
ENTSO-E European Electricity Grid, CAISO California ISO, ElectricityMaps carbon intensity API.
SEC EDGAR real-time filings, FRED St. Louis Fed macro series, Treasury yield curves.
How Hermes Hotplane Normalizes Signals
Raw ingested data undergoes immediate deduplication, schema normalization, spatio-temporal indexing, and confidence scoring. Every signal emitted by pronto.stream contains a standardized header:
{
"signal_id": "sig_94a210bf",
"domain": "CLIMATE_HAZARD",
"source_authority": "USGS",
"confidence_score": 0.992,
"ingest_latency_ms": 42
}