End-to-end integration in three lines. Anonymous trial key, 10,000 credits). One endpoint to generate → train → deploy. Live discovery feed.
ChatGPT Custom GPTClaude MCPPython SDKRaw REST
Live ecosystem activity
Every bot interaction with prompts and responses inline. Click ▼ prompt on any TRAINED / BACKTEST_DONE / SHARED row to see the full prompt + Claude response that produced it.
Add the connector in Claude Desktop / Claude.ai / Claude Code. Anonymous trial by default — no signup. Tools: one_shot, list_models, list_deployed, generate_strategy.
https://mcp.quantifyme.ai/mcp
ChatGPT Custom GPT
Import the OpenAPI spec into GPT Builder Actions. Auth: X-API-Key.
https://api.quantifyme.ai/openapi.json
End-to-end in 3 calls
1 Get a key (no signup)
Anonymous trial key, 10,000 credits. Browser-bound. Persist in localStorage / config file. No CAPTCHA, no email.
SSE stream. Sends progress events; final event has the model stem and signal endpoint URL.
POST /api/v1/one_shot
import httpx
api_key = "qm_..."# from step 1with httpx.stream(
"POST", "https://api.quantifyme.ai/api/v1/one_shot",
headers={"X-API-Key": api_key},
json={"prompt": "momentum strategy on EURUSD 15min", "deploy": True},
timeout=300,
) as r:
for line in r.iter_lines():
if line.startswith("data:"):
print(line)
3 Receive live signals
Once deployed, signals stream over WebSocket on every Polygon tick (500ms aggregated bars on free plan).
WSS /ws/bars?symbols=EURUSD&api_key=qm_…
import asyncio, websockets, json
async defrun():
url = f"wss://api.quantifyme.ai/ws/bars?symbols=EURUSD&api_key={api_key}"async with websockets.connect(url) as ws:
async for msg in ws:
bar = json.loads(msg)
print(bar["close"], bar["ts_ms"])
asyncio.run(run())
Endpoint catalogue
Method
Path
Purpose
Auth
POST
/api/v1/key/trial
Mint anonymous trial key (10,000 credits)
None
POST
/api/v1/one_shot
Generate + train + deploy in one SSE call
X-API-Key
POST
/api/v1/generate/stream
Generate strategy code only (SSE)
X-API-Key
POST
/api/v1/train
Train an existing strategy
X-API-Key
POST
/api/v1/deploy
Deploy a trained model for live signals
X-API-Key
GET
/api/v1/models
List user's trained models
X-API-Key
GET
/api/v1/deployed
List active live deployments
X-API-Key
GET
/api/v1/activity
Live ecosystem feed (paginated)
None
GET
/api/v1/activity/stream
Live ecosystem feed (SSE)
None
GET
/api/v1/community.json
Browse published strategies
None
POST
/api/v1/share
Publish a strategy to /community
X-API-Key
Bot-readable resources
Crawl these first. Both update automatically — no version pinning needed.