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Built, shipped, operated

Cerebrus Pulse

A multi-protocol crypto-intelligence API that gives AI agents real-time market data — distributed as an MCP server, a Python SDK, and a LangChain toolkit, paid per query via x402 micropayments.

Cerebrus Pulse crypto-intelligence dashboard
Live — cerebruspulse.xyzLive surface
  • API
  • Crypto
  • x402
  • MCP

Live interface

Query it live.

Pick an asset and pull a real read from the Cerebrus Pulse API — current price, RSI, EMA trend across timeframes, straight from the live endpoint.

Real-time technicals for 50+ Hyperliquid perpetuals — click to pull a live read from the Cerebrus Pulse API.

Operating brief

The constraint.

AI agents that trade or reason about markets need real-time intelligence, but crypto data is fragmented across venues, expensive to aggregate, and rarely packaged in a form an agent can call directly. There was no clean, pay-as-you-go way to give an agent technical analysis, sentiment, and liquidation data over a single interface.

What the system does

  • Exposes 15 tools — multi-timeframe technicals (RSI, EMAs, Bollinger Bands, VWAP, regime), sentiment, funding rates, open interest, liquidation heatmaps, correlation, market stress, and more.

  • Covers 50+ Hyperliquid perpetuals across six timeframes with confluence scoring.

  • Ships as an MCP server (Claude / Cursor / Windsurf), a typed Python SDK, and a LangChain toolkit — one intelligence layer, three integration paths.

  • Charges per query with x402 micropayments; free tools (health, coin list) work with no wallet configured.

Architecture

How it moves.

One gateway, three client surfaces. Paid tools sit behind an x402 paywall; free tools are open.

  1. AI client (Claude · Cursor · LangChain)
  2. MCP server / Python SDK
  3. Cerebrus gateway
  4. Hyperliquid + Chainlink data

Paid tools gated by x402 (USDC on Base or Solana); free tools need no wallet.

Build ledger

What carries it.

Interface
MCP server, Python SDK (PyPI), LangChain toolkit, CLI
Payments
x402 micropayments · USDC on Base & Solana
Data
50+ Hyperliquid perpetuals · Chainlink oracles
Analysis
RSI, EMAs, ATR, Bollinger Bands, VWAP · regime & confluence scoring

Current status

Delivered.

  • Live at cerebruspulse.xyz; published to PyPI as cerebrus-pulse-mcp and cerebrus-pulse-python.

  • 15 endpoints across six timeframes, load-tested at a sub-200ms p50.

  • Agent-commerce layer: x402 payments, Google A2A with Agent Card discovery, and ACP synthesis on Virtuals Protocol.

cerebrus-pulse-mcp — checking PyPI…