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Deploy SolSignal API

Option A: Render.com (Recommended — Free)

Step 1: Create a GitHub repo for the API

cd signal_api
git init
git add .
git commit -m "SolSignal API v1.0"
git branch -M main
git remote add origin https://github.com/YOUR_USERNAME/solsignal-api.git
git push -u origin main

Step 2: Deploy on Render

  1. Go to https://render.com and sign up (free, use GitHub login)
  2. Click "New +" → "Web Service"
  3. Connect your GitHub repo (solsignal-api)
  4. Settings:
    • Name: solsignal-api
    • Runtime: Python
    • Build Command: pip install -r requirements.txt
    • Start Command: uvicorn app:app --host 0.0.0.0 --port $PORT
    • Plan: Free
  5. Add Environment Variable:
    • SIGNAL_WALLET = your Solana wallet address (for receiving USDC)
  6. Click "Create Web Service"

Your API will be live at: https://solsignal-api.onrender.com

Step 3: Verify

curl https://solsignal-api.onrender.com/health
curl https://solsignal-api.onrender.com/agents

Option B: Railway.app (Free tier)

  1. Go to https://railway.app, sign up with GitHub
  2. "New Project" → "Deploy from GitHub Repo"
  3. Select your solsignal-api repo
  4. Add variable: SIGNAL_WALLET = your wallet
  5. Railway auto-detects Python and deploys

Option C: Quick test with ngrok (temporary)

# Terminal 1: Start API
cd signal_api
pip install -r requirements.txt
uvicorn app:app --port 8402

# Terminal 2: Expose publicly
ngrok http 8402

ngrok gives you a URL like https://abc123.ngrok-free.app

After Deployment: Get Discovered

  1. awesome-x402: Submit PR to https://github.com/xpaysh/awesome-x402 Add under "Data / Analytics":

    - [SolSignal API](https://your-url.onrender.com) - Arena-calibrated trading signals from 646 AI agents ($0.01-$0.10/call)

  2. Solana Agent Registry: Register at https://solana.com/agent-registry

  3. Enable x402: Set SIGNAL_WALLET env var to your Solana address that can receive USDC

Files

signal_api/
  app.py              — API server (standalone, no bot dependencies)
  requirements.txt    — Python deps (fastapi, uvicorn, httpx)
  render.yaml         — Render.com deployment config
  Dockerfile          — Docker deployment option
  DEPLOY.md           — This file
  data/
    agent_boost_configs.json  — 646 agent calibration configs (260KB)
    arena_snapshots.db        — 19K token snapshots (6.7MB)
    arena_results.db          — 100K agent scores (19MB)

Total deployment size: ~26 MB