Structural regime classifier for crypto markets. One GET request returns bounded, active, or unstable — with an exposure scalar to size your position.
6-hour delayed feed. Get an API key for real-time access.
ReNoUn measures structural disorder in price action using 17 channels. It tells you whether conditions are safe, dynamic, or fragmenting — not which way price will move.
Price expected within envelope. Structure is healthy. Trade at full position size.
Dynamic conditions detected. Multiply your intended position by the exposure scalar (0.0-1.0).
Structure is fragmenting. Skip this trade entirely. Wait for regime transition.
Add a single risk check before your trade execution logic. Works with any language, any bot framework.
import requests r = requests.get("https://api.harrisoncollab.com/v1/regime/live/BTCUSDT", headers={"Authorization": "Bearer rn_agent_YOUR_KEY"}) regime = r.json() if regime["action"] == "avoid": skip_trade() # unstable — stay out elif regime["action"] == "reduce": execute(size=intended * regime["exposure"]) # active — scale down else: execute(size=intended) # bounded — full size
Any MCP client can discover and connect to ReNoUn natively. Zero integration code needed.
No other crypto signal service publishes every call with a timestamp and a pass/fail grade. Most won't even tell you their hit rate. We grade every prediction against the 1-hour actual price outcome — no cherry-picking, no hiding losses.
When ReNoUn says it's safe to trade, it's right every time.
Active regimes recommend position scaling via the exposure scalar.
Unstable is a warning to stay out. It's not graded as a directional call.
The same 17-channel engine also analyzes AI conversations — detecting stuck loops, breakthroughs, and convergence patterns.
Provision a free API key. No signup form, no credit card. Just a POST request.
Provision Free Keycurl -X POST https://api.harrisoncollab.com/v1/keys/provision \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com", "agent_name": "my-bot"}'