Automate real-time crypto price checks, listing alerts, and trade logging to Google Sheets with CoinGecko data and Telegram notifications.
The AI agent continuously fetches live prices from CoinGecko and evaluates them against user-defined targets, triggering alerts when conditions are met. It monitors exchange announcements for new listings and sends real-time Telegram notifications. It also retrieves trade history from your exchange API and logs it to Google Sheets on a scheduled cadence, creating a centralized, auditable record.
Acts on price changes, listings, and trades with automated notifications and logs.
Monitor price via CoinGecko and compare to user-defined thresholds.
Notify via Telegram when price conditions are met.
Monitor RSS feed for new exchange listings.
Send Telegram alerts for new listings in real time.
Fetch daily or scheduled trade history from the exchange API.
Log formatted trade data to Google Sheets automatically.
Before: manual price checks miss rapid moves, listings arrive late, and trades are scattered across systems. After: real-time price alerts, instant listing notifications, and automated, centralized trade logging in Google Sheets.
A simple 3-step flow that non-technical users can set up.
CoinGecko is polled at regular intervals; prices are compared against user-defined thresholds and triggers are prepared for alerts.
An RSS feed monitor checks exchange announcements and converts new listings into real-time Telegram notifications.
A daily or scheduled API call retrieves trades, formats them, and appends them to Google Sheets.
A realistic scenario showing timing, actions, and outcomes.
Scenario: At 12:00 UTC, BTC price crosses $50,000. The AI agent sends a Telegram alert with price details. Daily at 00:00 UTC, it fetches the latest trades from the exchange API and appends them to Google Sheets, creating a clean, auditable record for the previous day.
Roles that gain practical value from automated crypto tracking.
Needs timely signals to act on price moves.
Wants a centralized view of performance and events.
Requires consistent, auditable reporting.
Benefits from structured data for analysis.
Needs traceable logs for audits.
Wants up-to-date insights and historical context.
Tools used inside the AI agent to automate workflows.
Fetch current price data and historical quotes.
Monitor exchange announcements for new listings.
Deliver real-time price and listing alerts to your chat.
Retrieve trade history for logging.
Append formatted trade data to a spreadsheet.
Common scenarios where the AI agent adds the most value.
Common concerns about setup, security, and usage.
The agent supports CoinGecko for price data, RSS feeds for listing announcements, and standard exchange APIs for trade history. You can customize the sources you use and add new feeds where supported. If an API or feed changes, you can update the configuration quickly to maintain accuracy. For any unsupported source, you can implement a custom HTTP request to pull data and format it for logging.
Yes. Thresholds and alert conditions are configurable per asset and can be updated without redeploying the agent. You can set absolute values, percentage changes, or compound conditions (e.g., price drop AND volume spike). Thresholds can be applied to multiple assets simultaneously, and you can disable or pause alerts as needed. Changes take effect on the next monitoring cycle.
Credentials are stored securely in your chosen environment and accessed only by the agent at runtime. You can rotate keys without stopping the workflow. It is recommended to use read-only keys where possible for logging features. Never hard-code keys in the configuration; use a secure vault or environment variables. Regularly review permissions and access for all connected services.
Yes. The AI agent is designed to run in typical automation runtimes or local servers. You can host it on a personal machine, a private server, or a cloud-based runner. Ensure network access to the data sources and output destinations (Google Sheets, Telegram). For private deployments, monitor resource usage and implement retry logic for resilience.
Automatic logging appends rows to your sheet on a defined schedule. You can export the sheet to CSV or integrate with other BI tools for deeper analysis. The agent formats data to ensure consistent columns and timestamps. If permissions change, you can reauthorize the Sheets integration without losing historical data.
The agent includes retry logic and backoff to handle temporary outages. If a source remains unavailable, it continues operating with cached or last-known data where appropriate and notifies you if critical data cannot be retrieved. It will resume normal logging and alerting once the source is back online. You can also configure notifications for persistent failures to act quickly.
Yes. The architecture supports adding new HTTP requests, feeds, and destinations. You can plug in additional data sources for pricing, listings, or trades and route them through the same alerting and logging mechanisms. Extensions can be implemented with minimal changes to existing steps, enabling scalable automation as needs grow.
Automate real-time crypto price checks, listing alerts, and trade logging to Google Sheets with CoinGecko data and Telegram notifications.
