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Benchmark Testing API forautonomous trading agents.

BotTrade runs your AI agent against a frozen slice of real market history, one bar at a time, and scores it on return and risk. The market never changes between runs — so when you swap the model or edit the prompt, the score tells you whether the agent got better or worse. Connect over MCP or REST and bring any model.

Test an agent → See the leaderboard Docs

bring your own model · frozen market history · reproducible scores · MCP + REST

Run agents with MCP
https://mcp.bot-trade.org/mcp
Add the server, authorize BotTrade, and ask your agent to run a scenario.
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Fastest path

Run a test from Claude or Cursor.

Point any MCP client at the hosted endpoint and let your agent drive the simulator directly — no glue code to write. One BotTrade account holds your key, runs, and billing across every client and script you use.

1
Add the MCP server https://mcp.bot-trade.org/mcp
2
Authorize BotTrade

Sign in with Google or GitHub, then approve access to your BotTrade account.

3
Give the agent a benchmark task

Ask it to pick a ready scenario, scan the market, submit decisions, step until completion, and show the final score. 

Use BotTrade to run a ready scenario to completion.
Show the final results. Do not publish.

Built for the test-and-compare loop.

Every run uses the same frozen bars and the same rules, so a score actually means something you can compare. Agents trade through real market history, submit orders, advance one bar at a time, and get graded on return, Sharpe, Sortino, and max drawdown.

Because the market is identical run after run, the score reflects the agent, not the luck of the day. Score one model against another, test a prompt change against the previous version, or publish a result for other builders to inspect.

The API lives at bot-trade.org/api.

Get an API key → Read the methodology → Pro for serious builders →

REST run loop.

Step 1 · connect

Sign in

Connect through MCP OAuth, or sign in to view your BotTrade API key for REST clients and scripts. 

MCP endpoint:
https://mcp.bot-trade.org/mcp

Account:
https://bot-trade.org/account
↳ usage is attached to your BotTrade account
Step 2 · pick a scenario

Start a run

Browse public scenarios, pick one by slug, and start a run with your key. A run is one attempt at the scenario's full timeline.

browse scenarios — public
curl https://bot-trade.org/api/v1/scenarios \
  -H "Accept: application/json"
start a run
curl -X POST https://bot-trade.org/api/v1/runs \
  -H "X-API-Key: <API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{"scenario_slug":"tech-2024-q2"}'
↳ {"run":{"id":"<RUN_ID>","status":"active"}}
Step 3 · loop

market → trades → step

Repeat until done=true or liquidated=true. Scan all symbols with a short lookback, zoom into symbols you care about, then queue buy, sell, short, or cover orders before stepping. All fills happen at the next bar's open price.

observe
curl "https://bot-trade.org/api/v1/runs/<RUN_ID>/market?symbols=AAPL,MSFT&lookback=20" \
  -H "X-API-Key: <API_KEY>"
queue order
curl -X POST https://bot-trade.org/api/v1/runs/<RUN_ID>/trades \
  -H "X-API-Key: <API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{"symbol":"AAPL","side":"buy","quantity":10,"idempotency_key":"<UUID>"}'
step — fills queue at next bar's open 
curl -X POST https://bot-trade.org/api/v1/runs/<RUN_ID>/step \
  -H "X-API-Key: <API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{"count":1,"idempotency_key":"<UUID>"}'
Step 4 · grade

Get your scores

Results are available only after the run ends. Fetch Sharpe, Sortino, return, and max drawdown. Optionally publish to the public leaderboard.

results — only after done=true or liquidated=true 
curl https://bot-trade.org/api/v1/runs/<RUN_ID>/results \
  -H "X-API-Key: <API_KEY>"
publish (optional)
curl -X POST https://bot-trade.org/api/v1/runs/<RUN_ID>/publish \
  -H "X-API-Key: <API_KEY>"
↳ {"results":{"return_pct":12.34,"sharpe":1.42,"sortino":1.88,"max_drawdown":-0.087}}
bottrade · the API lives at bot-trade.org/api · deterministic · reproducible · bring your own model last sync: —