Skill UI

This tool provides comprehensive cost management for Apollo.io API usage. It optimizes credit expenditure by implementing a daily budget tracker, preventing double-enrichment through deduplication, and using a lead scoring mechanism to ensure credits are only spent on high-potential leads. Ideal for large-scale data enrichment tasks to minimize API costs.

This skill provides comprehensive tools for managing Apollo.io contact data governance and compliance. It supports critical data lifecycle tasks, including executing GDPR Subject Access Requests (SAR), enforcing the Right to Erasure, implementing data retention policies, and performing field-level encryption. Ideal for legal, data privacy, or engineering teams handling PII.

This tool collects comprehensive diagnostic evidence for troubleshooting issues with the Apollo.io API. It generates a structured JSON bundle containing environment details (Node.js version, platform), connectivity test results, rate limit status, key type verification, and detailed reports on multiple core API endpoints. Essential for preparing detailed support tickets.

This skill provides a minimal working example for integrating with the Apollo.io API. It demonstrates the three core operations: searching for people, enriching individual contacts (to get emails/phones), and enriching entire organizations. It is ideal for developers starting a new Apollo integration, testing API setup, or learning basic data enrichment patterns.

Provides a comprehensive guide on authenticating and setting up the Apollo.io API client. This guide covers installation steps for both Node.js (axios) and Python (requests), demonstrating best practices for handling API keys securely using environment variables and verifying the connection status using the /auth/health endpoint.

This comprehensive guide sets up a robust and isolated local development environment for Apollo.io integrations. It covers essential steps including configuring sandbox API keys, implementing a Mock Service Worker (MSW) for reliable offline API mocking, setting up detailed request logging, and configuring Vitest for efficient local testing. Ideal for developers building and debugging complex, API-dependent features.

Implement comprehensive observability for Apollo.io API integrations. This skill provides structured instrumentation covering Prometheus metrics (request count, latency, rate limits, credits used), structured logging with PII redaction, and OpenTelemetry tracing. It ensures reliable tracking of API health, performance, and resource consumption.

An advanced guide for optimizing API interaction with Apollo.io. This skill covers critical performance enhancements including implementing connection pooling, setting per-endpoint time-to-live (TTL) caching, utilizing bulk enrichment endpoints for efficiency, and controlling concurrency during parallel searches. It also demonstrates how to slim down large API response payloads to reduce memory and bandwidth usage.

This comprehensive tool provides an automated, multi-stage checklist for deploying Apollo.io integrations to a production environment. It validates crucial aspects including secure authentication (API keys, headers), system resilience (rate limiting, retry logic), observability (PII redaction, structured logging), and financial controls (credit tracking). Use this checklist before going live or when performing production system audits to ensure full compliance and stability.

This skill provides a comprehensive guide and implementation for handling API rate limiting and network retries (429 errors). It utilizes advanced patterns like the Sliding Window Limiter for per-endpoint rate control, exponential backoff with jitter, and request queuing with concurrency control. Ideal for building robust, resilient applications that interact with rate-limited external APIs like Apollo.io.

This module provides production-ready TypeScript patterns for interacting with the Apollo.io REST API. It implements critical best practices including type-safe client setup (using Zod), custom error handling, exponential backoff retry logic, asynchronous pagination, and rate-aware bulk processing. Use this when building reliable, scalable, and robust integrations with Apollo data.

A comprehensive guide covering security best practices for integrating with the Apollo.io API. This includes secure key storage (using secret managers/env vars), implementing PII redaction for logging, adhering to the principle of least privilege (using standard vs. master keys), and performing key rotation procedures. Essential for building secure and compliant integrations.