TradingAgentStack

Search the TradingAgentStack directory of AI trading tools (broker MCP servers, trading and data APIs, bots, frameworks) by name, market or feature. Optional filters: category slug, can_trade_live, has_paper.

Full facts for one tool: pricing, live vs paper, order approval, rate limits, safety score inputs and every source URL.

List every tool in a category. Call with an unknown category to get the list of categories.

Compare two tools side by side, field by field, with sources.

Who places the order for every official broker MCP server: AI trades directly, you confirm each order, approval optional, or you place the order.

Takes no parameters.

Check a tool before your agent connects to it: how much money could the agent lose if it is wrong, hacked or prompt-injected? Returns the Agent Risk Score (custody, limits enforced outside the model, human approval, withdrawal scope, preview, open source, incident record), each input with its official source; missing inputs are listed, not guessed. Omit tool to rank every scored tool in a category (agent_wallet, agent_payments, ai_trading_agent, agent_token, bot_exchange, defi_agent).

Security incidents involving AI agents, trading tools and the infrastructure they run on (breaches, exploits, security releases), each from an official disclosure. Filter by date, or by a listed tool or a bot, exchange or wallet tracked by check.

Check before connecting (TAS Check): give a name, link, Telegram or X @handle, GitHub repo or app-store link of a Telegram trading bot, web trading terminal, exchange, swap service or wallet (incl. Zcash/Monero wallets). Returns whether the link is on that service's official list (confirmed from two independent places), a known fake, or a lookalike that uses its name, plus the worst case for your money, who holds the keys, freeze/hold policy, what a leaked API key can do, Monero/Zcash support, what the service collects about you and any data breaches, incidents, deadlines and a 3-step safe setup, each with sources. Unknown links are reported as unknown, never as safe.

Check a whole setup at once: up to 8 bots, exchanges, wallets, swap services or AI trading connectors someone uses (names, links, @handles or slugs). For each: who holds the keys, the worst case, who places orders, the Agent Risk Score or safety score, incidents in the last 12 months and the first fix, each from the dataset. Also returns the single biggest risk by a fixed rule, items we don't track (reported as unknown, never as safe), and a report_url that opens the same report on tradingagentstack.com. Links that use a tracked name but aren't official are flagged.

Verified performance leaderboard for AI trading agents, bots and vaults: return, BTC over the same dates, max drawdown and Sortino ratio, computed by TradingAgentStack from the venue's public API (never screenshots, self-reported PnL or backtests), with security rated separately as a gate. Sections: ai_vaults (Hyperliquid vaults whose leader says they are AI-run, with the quoted claim), vaults (biggest Hyperliquid vaults of any strategy), agents (AI agents with an officially published trading account or on-chain registration), apps (AI trading apps on Hyperliquid: users, volume and users' realized PnL from public builder fills), models (which AI model forecasts and trades best: ForecastBench, Prophet Arena, Alpha Arena, FutureEval), signals (grade B: MQL5 robot signals on real accounts, venue-reported, not ranked), usage (fees users pay Telegram bots, trading apps and AI agent protocols, and open-source repo health). Ranked vaults passed a 30% drawdown gate and are sorted by Sortino; the rest are listed as high_drawdown. Not investment advice.