Pronto the wire

pronto.stream · knowledge hub

Real-Time MCP Server & Signal Fusion Hub

Developer guides, 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.

15 MCP Tools
Native Model Context Protocol endpoints
35 Fusion Products
Real-time cross-domain mathematical products
~Half JSON Tokens
Cognitive Wire Format vs indented JSON
99 Endpoints
Verified public APIs, plus 96,814 RSS feeds
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Developer Guides & Topic Hubs

Hub 1 — Protocol & Agents
MCP Server for AI Agents
Connect autonomous LLMs to pronto.stream's 15 Model Context Protocol tools via JSON-RPC over streamable HTTP and WebSocket channels.
Explore MCP Guide →
Hub 2 — Token Optimization
CWF Token-Saver Format
How the Cognitive Wire Format halves the prompt tokens of an indented-JSON response, enabling continuous high-frequency agent monitoring.
Read CWF Specification →
Hub 3 — Intelligence Fusion
35 Citable Fusion Data Products
Explore 35 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
How 99 verified public API endpoints (USGS, Open-Meteo, GDELT, SEC EDGAR) and 96,814 RSS news feeds across 270 countries reconcile onto one clock.
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 →
Hub 6 — Alpha & Arbitrage
Real-Time Alpha & Agent Brokerage
Explore cross-domain physical-to-financial correlation vectors, CWF token economics, and MCP-guided Base USDC settlement for quant models.
Read Alpha Guide →
Hub 7 — Base & On-Chain Agents
Base AI Agents & On-Chain Infrastructure
Sensory signal layer for autonomous Base AI agents, Farcaster frames, and DeFi quants, with MCP-guided USDC settlement on Base Mainnet.
Explore Base Agents Guide →
Hub 8 — Subscriptions & Micropayments
Self-Serve Plans, $1 Passes & Agent Credits
Start free at 30 calls/min. Lift limits to 1,200 calls/min with $1 top-ups (10,000 calls at $0.0001/call), Builder ($1/day, $5/mo), or Team ($50/mo, 12,000 calls/min) with instant USDC settlement on Base.
View Subscriptions & Passes →
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Signal hubs

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Country hubs

18 of 33 countries shown · every hub in the directory

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Topic hubs

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Place hubs

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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.
  • /seo/feed.xml — Live real-time RSS signal feed prioritized by regional telemetry.
  • /sitemap.xml — Full XML website and localized API endpoint index.
  • /pricing — Self-serve subscriptions, $1 day passes, and micro-credit rates ($0.0001/call).
  • /.well-known/x402 — Autonomous agent x402 payment discovery schema and settlement endpoints.
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Market research and applications

Prediction market research data for Kalshi workflows explains how to join exchange terms and prices with source-linked observations.

15 AI data and research applications maps practical opportunities in markets, risk, news and agents.

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AI Data Labs & Alternative Data

Best AI data labs & alternative data providers evaluates premier data platforms (Mercor, micro1, Scale AI, Surge AI, Pronto) for foundation model training.

Alternative data for AI & quant models details why frontier LLMs require real-time empirical signals and published mathematical models.

Evaluation assets: Sample dataset (1,000 production records) and Commercial data specification.