Give your AI agent crypto prices + Telegram channel stats in one call
AI agents need data that's already shaped for decisions—not five API keys and a parsing layer. I built crypto-mcp-toolkit , an Apify Actor that exposes crypto market data and backtested Telegram signal-channel statistics through one pay-per-call interface. Demo video The 40-second demo is here: https://x.com/DanteThomason/status/2103487147085074728 What the Actor provides Live crypto prices and…
AI agents require pre-processed data for decision-making, not multiple API keys and a complicated parsing layer. The crypto-mcp-toolkit, an Apify Actor, provides just that by offering crypto market data and Telegram signal-channel statistics through a single pay-per-call interface. A 40-second demo of the Actor can be found at https://x.com/DanteThomason/status/2103487147085074728.
The Actor offers various live crypto data, including prices, OHLC charts, and ICT analysis (order blocks, fair-value gaps, and liquidity sweeps). It also provides technical indicators such as SMA, EMA, RSI, MACD, Fear & Greed index, market overview, coin comparisons, and ICT scalping signals. Additionally, there is a leaderboard of over 35 Telegram signal channels ranked by expectancy, along with win rate, average reward, and drawdown.
The Actor features 12 tools, with each tool call costing $0.005. Notably, it does not require a separate crypto API key. To get started, users can call the Actor with a single tool per run using the following curl command:
curl -X POST https://api.apify.com/v2/acts/genKenobi~crypto-mcp-toolkit/run-sync-get-dataset-items?token=YOUR_TOKEN \ -H Content-Type: application/json \ -d { tool : get_crypto_price , arguments :{ coin : bitcoin , currency : usd }}
To find a Telegram signal channel, first use the channel_find tool with the desired channel name. Then, pass the returned channel ID to the channel_stats tool. For a quick overview, channel_leaderboard can be used with a limit.
The evaluation method for Telegram signal channels is based on expectancy reported with a one-sided 95% confidence bound, rather than just a headline win rate. In a sample test, the median win rate was 76%, while the median expectancy was negative. The Actor can be integrated into agent workflows using the Apify API from n8n, Make, LangChain, or the Apify MCP server. One tool call results in one structured JSON output.
The Actor was developed and maintained by the author, who invites feedback from those utilizing crypto data in agents or evaluating paid signal groups before subscribing. The Actor is available at https://apify.com/genkenobi/crypto-mcp-toolkit.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.