CrowTerminal
AI command-line assistant service for agent memory tracking, engagement analysis, webhook events, and platform intelligence.
Helps automation builders inspect how an agent's markdown drives engagement, follow client memory changes over time, and listen for webhook events.
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Example Use Cases
These are example ways Snow can use CrowTerminal when building apps with you. This list is meant to show examples, not document every possible capability. Connecting an account does not make Snow run these automatically on its own.
Tool to analyze engagement correlation for every field in your agent's markdown. Use when you need to understand which agent configuration fields drive engagement and get specific recommendations for improvement. Returns similarity to best/worst performing versions and field-by-field analysis.
Tool to bulk ingest up to 50 analytics data points at once to CrowTerminal. Use when you need to efficiently push large amounts of platform analytics data for content creators across social media platforms. Ideal for batch uploads of retention, engagement, views, and other metrics.
Tool to read memory for multiple clients at once (up to 50). Use when you need to efficiently retrieve memory data for multiple creators in a single API call.
Tool to compare your agent's markdown directly with all stored versions. Returns field differences showing which values differ across versions, lists missing fields not present in your current data, and provides version counts. Use when you need to understand how your current agent configuration compares to historical versions.
Tool to register a new webhook for receiving real-time event notifications from CrowTerminal. Use when you need to set up asynchronous notifications for events like skill updates, data ingestion, or validation blocks.
Tool to delete an existing webhook registration. Use when you need to remove a webhook that is no longer needed or should be replaced.
Tool to get algorithm insights for TikTok, Instagram, and YouTube without client-specific context. Use when you need platform intelligence data for BYOK (Bring Your Own Key) analysis workflows. This endpoint provides raw contextual algorithm data without triggering LLM inference charges.
Retrieve human-readable change history for a client's memory. Provides a narrative view of how the client's skill data has evolved over time.
Tool to track a specific field over time for trend analysis. Use when you need to understand how a particular metric evolved across versions or time periods.
Tool to get detailed status of each CrowTerminal service component. Returns current health status, latency, and summary statistics for all monitored components (database, cache, APIs, webhooks). Use when checking system health or diagnosing service issues.