AgenticFor DevelopersAPI Development & Integrations

API Analytics & Business Intelligence.

When you need to understand how your API is being used, who is using it, and where it is failing.

ChatGPT Β· Claude Β· GeminiΒ·AdvancedΒ·~1750 tokens
Curated by the AIPP team
Last updated 14 May 2026 Β· v3
api-analytics-business-intelligence-4.md Β· 1750 words
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task.

# Context
- Pack: Developers & Tech Professionals
- Category: API Development & Integrations
- Use case: API Analytics & Business Intelligence
- Source task:
  - Design an API analytics system for {{describe_the_api_platform}}.
  - Step 1: define the events to track (request, response, error, latency, consumer identity, endpoint, version).
  - Step 2: design the analytics schema for the data warehouse.
  - Step 3: write 5 SQL queries answering the most important business questions: most-used endpoints, consumer health scores, SLA compliance, error rate trends, and API adoption by consumer.
  - Step 4: design a developer-facing API usage dashboard.

# Goal
Event tracking definition, analytics schema, 5 analytical SQL queries, and a developer-facing usage dashboard design.

# Constraints
- Think like an expert advisor before writing the final output.
- Ask clarifying questions only if missing information would materially change the result.
- Avoid generic filler, vague advice, and unsupported claims.
- Make the output specific, practical, and ready to use.

# Output
Event tracking definition, analytics schema, 5 analytical SQL queries, and a developer-facing usage dashboard design.

The variables to fill in

PlaceholderWhat to put thereExample
{{role}}Roleplatform analytics engineer
{{use_case}}Your specific valueapi analytics & business intelligence
{{describe_the_api_platform}}Describe the api platformExample describe the api platform

How to customize this prompt

  1. Replace each {{double-curly}} with your real context.
  2. Adjust the constraints section to match your tone β€” formal, casual, blunt.
  3. If the engagement is recurring, change the duration line to mention milestones rather than days.
  4. Run it in your tool of choice. The output should be ready to paste with at most one small edit.

When to use

When you need to understand how your API is being used, who is using it, and where it is failing.

PRO TIP

Track consumer identity from day one β€” aggregated usage data without consumer attribution is nearly useless for support and product decisions.

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