Automate data capture, forecasting, and email reporting in a single AI agent.
This AI agent scrapes CoinGecko for selected coins, normalizes metrics into clean JSON, and stores them in a structured data table. Every day, it loads the latest 48 hours of data and uses Gemini AI to forecast the next 24 hours. Finally, it renders a concise HTML/plain-text report and emails it to the designated recipients.
Automates data ingestion, forecasting, and reporting for crypto decision making.
Ingests CoinGecko data for the selected coins and parses metrics.
Normalizes metrics into clean JSON and stores them in a structured data table.
Loads the latest 48 hours of data for forecasting.
Generates next-24h direction forecasts using Gemini AI.
Renders an HTML and plain-text report.
Emails the forecast report to recipients.
This AI agent eliminates manual, fragmented data handling and unreliable forecasts. It consolidates data ingestion, forecasting, and reporting into a single automated flow. Before, teams wrestled with separate scripts and inconsistent data. After, you get a single, repeatable process with clear outputs. This reduces data gaps, speeds up decision cycles, and lowers the risk of missed opportunities.
A simple 3-step flow to automate data capture, forecasting, and reporting.
Every 30 minutes, the AI agent scrapes CoinGecko for the selected coins, parses metrics, and upserts them into a centralized data store.
Daily at 18:00, the AI agent loads the latest 48 hours of data and uses Gemini AI to forecast the next-24h direction windows.
The AI agent renders an HTML and plain-text report and emails it to the designated recipients.
A concrete weekday scenario showing task, time, and outcome.
Scenario: At 18:00 UTC on a typical weekday, the AI agent processes BTC, ETH, and ADA, loads the prior 48 hours of metrics, and uses Gemini to forecast the next 24 hours. It then emails a concise forecast report to the trading desk, highlighting the predicted direction windows and confidence. The run completes within a few minutes, and recipients can act on the forecast immediately.
Roles that rely on timely crypto insights can leverage this AI agent.
Needs a reliable daily snapshot and forecast to guide entry/exit decisions.
Wants a consistent data source and forecast to support research notes.
Requires automated updates to inform allocation adjustments.
Seeks forecast-driven signals to monitor downside protection needs.
Benefits from a single report sent to the desk each day.
Gains automated insights without building a data stack.
Connects data sources, forecasting engines, and delivery channels.
Source data: fetch prices and metrics for the selected coins.
Facilitates scraping and metric extraction feeding the data store.
Stores normalized metrics for querying and forecasting.
Generates next-24h forecasts based on historical data.
Delivers HTML/plain-text forecast reports to recipients.
Practical scenarios where this AI agent adds concrete value.
Common questions about operation and setup.
The AI agent supports a user-selected set of coins. It ingests price data, market metrics, and historical context for each. You can configure the watchlist for your needs. The system handles updates automatically as you modify the coin list. If a coin becomes unavailable, the agent will flag it and continue with the remaining set.
The AI agent relies on CoinGecko for price data and related metrics. The data is parsed, cleaned, and stored in a centralized data store for forecasting. It does not pull from external feeds without your confirmation. Data quality is checked during ingestion to minimize anomalies. You can adjust the sources if needed, provided you maintain data integrity.
Forecasts are generated on a defined cadence—daily for the next 24 hours, using the latest 48 hours of historical data. The Gemini AI model processes the data to produce direction windows and confidence. The output is embedded in a daily report sent by email. You can adjust the forecast window or schedule where supported.
Yes. You can specify the email recipients and distribution list for the daily forecast report. The agent uses authenticated channels to deliver the HTML and plain-text versions. Any changes to recipients propagate through the email renderer. You can also test delivery before enabling production use.
Self-hosting is supported. The AI agent can run in a self-hosted environment with the necessary dependencies. It requires a node capable of scheduling tasks, data storage, and access to CoinGecko, Decodo, Gemini, and Gmail credentials. If you are using a hosted service, ensure proper security and access controls are in place. Community nodes and integration components may be used depending on your setup.
Credentials are stored securely and accessed only by the AI agent with the least privilege necessary. Secrets management should be configured to rotate credentials regularly. Access controls can be enforced at the user and role level. Audit trails track changes to configurations and recipients. You should monitor for suspicious behavior and enforce best practices for data protection.
Yes. The coin list and forecast schedule can be updated via the Configure Coins settings and scheduler configuration. The agent validates inputs to prevent invalid configurations. After changes, the AI agent will apply the new settings on the next run. This allows you to adapt to market conditions without redeploying the entire workflow.
Automate data capture, forecasting, and email reporting in a single AI agent.
