emdb-analytics

Name: emdb-analytics
Availability: InStock
Author: Rach

Compute EmergentDB usage and performance analytics over 30 to 90 days.

Updated Feb 11, 2026

Search Tags:#monitoring #analytics #growth #latency #errors #emergentdb

Ready to run

npx skills add https://github.com/justrach/emergent-sdk --skill emdb-analytics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: emdb-analytics
Source: https://github.com/justrach/emergent-sdk/tree/main
Command: npx skills add https://github.com/justrach/emergent-sdk --skill emdb-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide quick visibility into EmergentDB usage, latency, and error patterns to help teams diagnose issues and optimize configurations.

Core Features & Use Cases

End-to-end analytics: endpoints, namespaces, latency, errors, per-key usage, and growth over time.
Diagnose performance and reliability issues, plan capacity, and verify API health.
Use cases include monitoring dashboards, capacity planning, and anomaly detection.

Quick Start

Query the analytics endpoints using the SDK to retrieve the latest metrics.

Frequently Asked Questions about emdb-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor EmergentDB usage and latency trends?▼

EmergentDB analytics tracks endpoints, namespaces, per-key usage, and latency over 30 to 90 days to diagnose health and capacity trends. You retrieve these structured metrics via SDKs to gain visibility into performance and error patterns.

What is the best way to diagnose EmergentDB error patterns?▼

The best way to diagnose EmergentDB error patterns is to analyze structured metrics retrieved via SDKs. Computing analytics over the last 30 to 90 days helps teams quickly identify reliability issues and optimize database configurations.

Can I retrieve EmergentDB metrics for capacity planning using SDKs?▼

Yes, you can query analytics endpoints using the SDK to retrieve the latest metrics for capacity planning. The computed analytics cover per-key usage and growth over 30 to 90 days, allowing you to verify API health and plan effectively.

Does EmergentDB analytics support anomaly detection for API health?▼

EmergentDB analytics supports anomaly detection by computing end-to-end usage, latency, and error metrics over time. Monitoring these structured metrics helps teams diagnose performance issues and verify overall API health.

What time range do EmergentDB analytics cover for diagnosing performance issues?▼

EmergentDB analytics cover the last 30 to 90 days to diagnose performance and reliability issues. This time range provides sufficient visibility into latency, errors, and growth trends to optimize configurations and plan capacity.