MCP server and REST API for crypto trading signals, sentiment analysis, macro regime classification, strategy arena, web search, and sandboxed code execution. Designed for AI agents, LLMs, and autonomous trading systems.
- Base URL:
https://api.signalfuse.co - OpenAPI spec:
https://api.signalfuse.co/openapi.json - x402 discovery:
https://api.signalfuse.co/.well-known/x402 - llms.txt:
https://api.signalfuse.co/llms.txt - Payment: x402 USDC on Base (no API keys needed) or prepaid credit tokens
- Free trial: 5 credits, no signup required
- Generates directional trading signals (long/short/neutral) for BTC, ETH, SOL, DOGE, PEPE, WIF, BONK, ARB, OP, AVAX with entry price, take-profit, and stop-loss levels
- Runs ModernFinBERT sentiment analysis on crypto social and news data
- Classifies the macro regime as risk-on, risk-off, or neutral using multi-factor economic indicators
- Operates a Strategy Arena where 4 AI strategies (EMA Breakout, RSI Extremes, RSI Reversion, VWAP Reversion) compete head-to-head with live P&L tracking
- Proxies web search through Brave Search and Tavily with result deduplication and fusion
- Executes Python and JavaScript code in sandboxed E2B environments (60s timeout)
npx signalfuse-mcpOr install globally:
npm install -g signalfuse-mcppip install signalfuse| Method | Path | Description | Price |
|---|---|---|---|
| GET | /v1/signal/{symbol} |
Fused directional signal with entry/TP/SL | $0.010 |
| GET | /v1/signal/batch |
Signals for all assets in one call | $0.075 |
| GET | /v1/sentiment/{symbol} |
ModernFinBERT sentiment analysis | $0.002 |
| GET | /v1/regime |
Macro regime classification (risk-on/off/neutral) | $0.001 |
| GET | /v1/arena/leaderboard |
Strategy Arena rankings | FREE |
| GET | /v1/arena/{strategy_id}/{symbol} |
Signal from a specific arena strategy | $0.001 |
| GET | /v1/gateway/search/brave |
Brave web search | $0.008 |
| POST | /v1/gateway/search/tavily |
Tavily AI-powered web search | $0.012 |
| POST | /v1/gateway/search/fused |
Brave + Tavily fused and deduplicated | $0.015 |
| POST | /v1/gateway/execute/e2b |
Sandboxed code execution (Python/JS) | $0.005 |
| GET | /v1/pricing |
Pricing information | FREE |
| GET | /v1/credits/balance |
Credit balance check | FREE |
| POST | /v1/credits/trial |
Claim 5 free trial credits | FREE |
Get 5 free credits with no signup. Send your Ethereum wallet address:
curl -X POST https://api.signalfuse.co/v1/credits/trial \
-H "Content-Type: application/json" \
-d '{"wallet": "0xYOUR_ETH_ADDRESS"}'Response:
{
"credit_token": "sf_abc123...",
"credits": 5,
"wallet": "0xYOUR_ETH_ADDRESS"
}Pass the returned credit_token as the X-Credit-Token header on subsequent requests, or use it in MCP tool calls.
curl https://api.signalfuse.co/v1/signal/BTC \
-H "X-Credit-Token: sf_abc123..."{
"symbol": "BTC",
"signal": "long",
"signal_strength": 74,
"confidence": 0.82,
"regime": "risk_on",
"components": {
"social": {"score": 0.49, "label": "bullish"},
"macro": {"score": 0.63, "label": "bullish"},
"market": {"score": 0.42, "label": "long_bias"}
},
"updated_at": "2026-04-04T12:00:00Z"
}curl https://api.signalfuse.co/v1/sentiment/ETH \
-H "X-Credit-Token: sf_abc123..."{
"symbol": "ETH",
"score": 0.65,
"label": "bullish",
"model": "ModernFinBERT",
"updated_at": "2026-04-04T12:00:00Z"
}curl https://api.signalfuse.co/v1/regime \
-H "X-Credit-Token: sf_abc123..."{
"regime": "risk_on",
"confidence": 0.78
}curl https://api.signalfuse.co/v1/arena/leaderboard[
{
"strategy_id": "ema_5_breakout",
"wins": 142,
"losses": 98,
"win_rate": 0.591,
"total_pnl_bp": 340,
"total_income_usd": 1720.50
}
]curl "https://api.signalfuse.co/v1/gateway/search/brave?q=bitcoin+ETF+flows" \
-H "X-Credit-Token: sf_abc123..."curl -X POST https://api.signalfuse.co/v1/gateway/search/tavily \
-H "Content-Type: application/json" \
-H "X-Credit-Token: sf_abc123..." \
-d '{"query": "bitcoin ETF flows", "search_depth": "advanced"}'curl -X POST https://api.signalfuse.co/v1/gateway/execute/e2b \
-H "Content-Type: application/json" \
-H "X-Credit-Token: sf_abc123..." \
-d '{"code": "print(2 + 2)", "language": "python"}'{
"stdout": "4\n",
"stderr": "",
"exit_code": 0
}| Tier | Credits | Price | Per-Credit Cost |
|---|---|---|---|
| Free Trial | 5 | $0 | $0 |
| x402 Pay-Per-Call | unlimited | market rate | see endpoint table |
| Starter Pack | 500 | available at signalfuse.co | bulk discount |
| Pro Pack | 5,000 | available at signalfuse.co | bulk discount |
x402 is an open protocol for HTTP micropayments. SignalFuse accepts USDC on Base. No API keys, no subscriptions -- each request includes a payment header and the server settles on-chain. See the x402 spec for details.
When connected as an MCP server, SignalFuse exposes 11 tools:
| Tool Name | Description |
|---|---|
get_signal |
Fused directional signal for a crypto asset (direction, strength, confidence, regime, entry/TP/SL) |
get_signal_batch |
Signals for all supported assets in one call |
get_sentiment |
ModernFinBERT sentiment analysis (score, label) |
get_regime |
Macro regime classification (risk_on, risk_off, neutral) |
get_arena_leaderboard |
Strategy Arena rankings with win rate, P&L, income (free) |
get_arena_signal |
Signal from a specific arena strategy for a given asset |
search_brave |
Web search via Brave Search |
search_tavily |
AI-powered web search via Tavily |
execute_code |
Sandboxed Python/JavaScript execution via E2B |
get_pricing |
Pricing information (free) |
check_balance |
Credit balance check (free) |
| Strategy ID | Description |
|---|---|
ema_5_breakout |
Trend-following on exponential moving average crossovers |
rsi_7_extremes |
Momentum entries at RSI overbought/oversold levels |
rsi_reversion_swing |
Mean-reversion fades against RSI extremes |
vwap_reversion |
Mean-reversion entries around volume-weighted average price |
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"signalfuse": {
"command": "npx",
"args": ["-y", "signalfuse-mcp"]
}
}
}Add to your project's .mcp.json:
{
"mcpServers": {
"signalfuse": {
"command": "npx",
"args": ["-y", "signalfuse-mcp"]
}
}
}from langchain_signalfuse import SignalFuseTool, SentimentTool, MacroRegimeTool
tools = [
SignalFuseTool(credit_token="sf_abc123..."),
SentimentTool(credit_token="sf_abc123..."),
MacroRegimeTool(credit_token="sf_abc123..."),
]
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION)See langchain_signalfuse.py in this repository for the full tool set (7 tools).
import signalfuseActions from "./elizaos_plugin";
// Register actions: getSignalAction, getSentimentAction, getRegimeAction, getSignalBatchAction, getArenaLeaderboardActionSee elizaos_plugin.ts in this repository for the full plugin.
import requests
response = requests.get(
"https://api.signalfuse.co/v1/signal/BTC",
headers={"X-Credit-Token": "sf_abc123..."}
)
signal = response.json()
print(signal["signal"], signal["signal_strength"])const res = await fetch("https://api.signalfuse.co/v1/signal/BTC", {
headers: { "X-Credit-Token": "sf_abc123..." }
});
const signal = await res.json();
console.log(signal.signal, signal.signal_strength);BTC, ETH, SOL, DOGE, PEPE, WIF, BONK, ARB, OP, AVAX -- with more added regularly. Use get_signal_batch with no arguments to retrieve the current full list.
- OpenAPI spec: https://api.signalfuse.co/openapi.json
- x402 payment discovery: https://api.signalfuse.co/.well-known/x402
- llms.txt: https://api.signalfuse.co/llms.txt
- MCP server identifier:
io.github.hypeprinter007-stack/signalfuse - npm: npmjs.com/package/signalfuse-mcp
- PyPI: pypi.org/project/signalfuse
- Smithery: compatible via
smithery.yamlin this repository
- API: api.signalfuse.co
- x402 Discovery: api.signalfuse.co/.well-known/x402
- OpenAPI: api.signalfuse.co/openapi.json
- llms.txt: api.signalfuse.co/llms.txt
- Website: signalfuse.co
- Yield page: signalfuse.co/divigent — live view of where x402 revenue is routed
- npm: npmjs.com/package/signalfuse-mcp
- PyPI: pypi.org/project/signalfuse
- signalfuse-divigent-router — open-source TypeScript sidecar (Apache 2.0) that routes x402 receipts into Divigent yield on Base. Reference seller-side integration.
SignalFuse is a data fusion API, not financial advice. Signals are mathematical composites derived from sentiment, macro, and market structure data. They can be wrong. Trade at your own risk.
MIT
