Building a reliable autonomous AI agent means acquiring the state of the physical and financial world from dependable, verified sources. The naive alternative is maintaining hundreds of bespoke scrapers, each vulnerable to upstream HTML shifts, unpredictable rate limits, schema breakages, and uncoordinated polling cadences.
pronto.stream operates an enterprise ingestion pipeline reconciling 99 verified public API endpoints and 96,455 RSS feeds across 249 countries into one unified stream on a single temporal clock.
Every signal emitted by pronto.stream carries both an observed_at timestamp (when the physical seismograph shook, the weather station recorded the gust, or the SEC filing was clocked) and an ingested_at timestamp (when the signal entered the Pronto engine). This allows AI agents to reason about real-world publication latency and guarantees reproducible historical backtesting.