The post Glassnode CLI Now Pairs With AI Agents for Rapid Crypto Research appeared on BitcoinEthereumNews.com.

Peter Zhang
Apr 01, 2026 13:13

Glassnode shows how AI coding agents can turn natural-language prompts into complete on-chain analysis in minutes using their CLI tool.

Glassnode has published a workflow demonstrating how traders can combine AI coding agents with its command-line interface to automate on-chain research—turning plain English questions into statistical analysis and charts within minutes. The blockchain analytics firm showcased the approach on April 1, walking through a real example: testing whether extreme BTC exchange inflows predict short-term price drawdowns. The entire analysis—from data retrieval to visualization—required just two natural-language prompts. How It Actually Works The workflow hinges on Glassnode’s CLI tool, which lets AI agents like Claude Code, ChatGPT’s Codex, or Cursor autonomously discover available metrics, fetch data, and execute Python analysis without manual API configuration. In Glassnode’s demonstration, a user submitted this prompt: “Download BTC daily exchange inflows and closing price for the last year. Analyze whether inflow spikes predict drawdowns in the following 7 days.” The AI agent then handled everything behind the scenes—running gn metric list to find the right data paths, downloading CSVs for exchange inflows and price data, writing statistical analysis code, and returning formatted results. What the Test Found The sample analysis flagged 10 “spike days” where BTC exchange inflows exceeded two standard deviations above the mean. Those days showed roughly 1.9 percentage points more drawdown over the following week compared to normal periods. Glassnode was quick to note the limitations. With only 10 spike events concentrated in two volatile windows, the signal is “suggestive rather than statistically robust.” A proper backtest would need to control for volatility regimes, avoid overlapping measurement windows, and validate out-of-sample. Still, the point wasn’t to prove the hypothesis—it was to show how quickly traders can test ideas.…

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Filed under: News - @ April 2, 2026 1:23 pm