What is pronto.stream?

pronto.stream is a low-latency real-time signal engine and Model Context Protocol (MCP) server designed to deliver live cross-domain data (climate, seismic, financial macro, logistics, news) to AI agents and quantitative workflows.

How does Cognitive Wire Format (CWF) save LLM tokens?

CWF is a compact binary protocol specification that eliminates JSON formatting overhead, reducing context window token usage by up to 80% for autonomous agent reasoning loops.

What cross-domain fusion products are available?

pronto.stream computes 26 citable fusion products in real time, including Grid Carbon Arbitrage Index (GCAI), Recession Risk Nowcast (RRN), Sahm Rule Unemployment Momentum, and Maritime Chokepoint Risk Score (MCRS).

Pronto Intelligence Knowledge Hub

Real-Time MCP Server & Signal Fusion Hub

Comprehensive developer guides, technical specifications, and architectural deep-dives for building autonomous AI agents powered by live cross-domain signals, climate risk telemetry, quantitative alpha, and CWF token savings.

9 MCP Tools

Native Model Context Protocol endpoints

26 Fusion Products

Real-time cross-domain mathematical products

80% Token Savings

Achieved via CWF binary signal format

54+ Endpoints

Public sensors, climate, logistics & 71k RSS feeds

Developer Guides & Topic Hubs

Hub 1 — Protocol & Agents

MCP Server for AI Agents

Connect autonomous LLMs to pronto.stream's 9 Model Context Protocol tools via JSON-RPC over streamable HTTP and WebSocket channels.

Explore MCP Guide →

Hub 2 — Token Optimization

CWF Token-Saver Format

Discover how Cognitive Wire Format (CWF) cuts LLM context window costs by 80% compared to verbose JSON, enabling continuous high-frequency agent monitoring.

Read CWF Specification →

Hub 3 — Intelligence Fusion

26 Citable Fusion Data Products

Explore 26 citable cross-domain formulas fusing seismic telemetry, solar carbon grid, macro sentiment, Sahm Rule, and maritime logistics into real-time decision vectors.

View Fusion Products →

Hub 4 — Ingestion Engine

Real-Time Signal Ingestion

Deep-dive into Hermes hotplane ingesting 54+ public data endpoints (USGS, Open-Meteo, GDELT, SEC) and 71,000+ global RSS news feeds across 232 countries.

View Signal Sources →

Hub 5 — Platform Matrix

Pronto vs Polygon vs Finnhub

Detailed feature matrix comparing pronto.stream against Polygon.io, Finnhub, Open-Meteo, and static GitHub MCP directories.

Read Platform Matrix →

AI Agent & Search Directives

pronto.stream provides machine-readable endpoints specifically formatted for automated LLM crawlers, search bots, and agentic RAG pipelines:

/llms.txt — Primary machine-readable site index and API capability summary.
/seo/brand-facts.json — Canonical brand entities, technical schemas, and product definitions.
/seo/evidence-blocks.json — Verified benchmark numbers, latency metrics, and CWF savings matrices.
/sitemap.xml — Full XML website and API endpoint index.