Api Pagination

What it does

This skill enables AI agents to automatically handle paginated API responses, ensuring complete data retrieval regardless of how many pages exist. It manages the iterative process of fetching subsequent pages until all available records are collected.

When to use it

• Retrieving large datasets from APIs that return results in chunks (e.g., user lists, transaction logs).
• Aggregating data across multiple endpoints where pagination metadata is required for navigation.
• Building reports or analytics dashboards that require a full view of historical records.
• Automating data migration tasks where missing records due to pagination limits would cause errors.

Key capabilities

• Automatically detects pagination tokens or cursor values in API responses.
• Iteratively requests subsequent pages based on returned metadata.
• Consolidates fragmented data into a single, complete dataset for downstream processing.
• Handles both offset-based and cursor-based pagination strategies.

Example prompts

• "Fetch all active users from the customer database, handling any pagination limits automatically."
• "Retrieve the last 1000 transaction records and compile them into one list."
• "Scrape product inventory data across multiple pages and summarize total stock levels."

Tips & gotchas

Ensure your API connection includes necessary authentication headers before enabling this skill, as many paginated endpoints require access tokens. Monitor rate limits closely when fetching large datasets to avoid triggering service throttling or temporary bans.