apollo-cost-tuning
Optimize Apollo.io costs and credit usage. Use when managing Apollo credits, reducing API costs, or optimizing subscription usage. Trigger with phrases like "apollo cost", "apollo credits", "apollo billing", "reduce apollo costs", "apollo usage".
Best use case
apollo-cost-tuning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Optimize Apollo.io costs and credit usage. Use when managing Apollo credits, reducing API costs, or optimizing subscription usage. Trigger with phrases like "apollo cost", "apollo credits", "apollo billing", "reduce apollo costs", "apollo usage".
Teams using apollo-cost-tuning should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/apollo-cost-tuning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How apollo-cost-tuning Compares
| Feature / Agent | apollo-cost-tuning | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Optimize Apollo.io costs and credit usage. Use when managing Apollo credits, reducing API costs, or optimizing subscription usage. Trigger with phrases like "apollo cost", "apollo credits", "apollo billing", "reduce apollo costs", "apollo usage".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Apollo Cost Tuning
## Overview
Optimize Apollo.io API costs through credit-aware enrichment. Key cost model: **search is free, enrichment costs credits.** Apollo charges per unique contact/company lookup. Credits do not roll over. Strategies: deduplicate before enriching, score leads before spending credits, and track daily budget.
## Prerequisites
- Valid Apollo API key
- Node.js 18+
## Instructions
### Step 1: Understand Apollo's Credit Model
```
Action | Credits | Notes
----------------------------+---------+-----------------------------------
People Search | 0 | /mixed_people/api_search (free!)
Organization Search | 0 | /mixed_companies/search (free!)
People Enrichment (single) | 1 | /people/match
People Enrichment (bulk) | 1/match | /people/bulk_match (up to 10/call)
Organization Enrichment | 1 | /organizations/enrich
Reveal Personal Email | +1 | reveal_personal_emails param
Reveal Phone Number | +1 | reveal_phone_number param
```
Plans (approximate):
- **Free**: 50 credits/month
- **Basic**: 1,200 credits/month (~$0.04/credit)
- **Professional**: 6,000 credits/month
- **Organization**: 12,000+ credits/month
### Step 2: Track Credit Usage
```typescript
// src/cost/credit-tracker.ts
class CreditTracker {
private daily: Map<string, number> = new Map();
private readonly budget: number;
constructor(dailyBudget: number = 200) {
this.budget = dailyBudget;
}
record(count: number = 1) {
const today = new Date().toISOString().split('T')[0];
this.daily.set(today, (this.daily.get(today) ?? 0) + count);
}
todayUsage(): number {
const today = new Date().toISOString().split('T')[0];
return this.daily.get(today) ?? 0;
}
isOverBudget(): boolean {
return this.todayUsage() >= this.budget;
}
report(): string {
const used = this.todayUsage();
return `${used}/${this.budget} credits (${Math.round((used / this.budget) * 100)}%)`;
}
}
export const creditTracker = new CreditTracker(
parseInt(process.env.APOLLO_DAILY_CREDIT_BUDGET ?? '200', 10),
);
```
### Step 3: Deduplicate Before Enriching
```typescript
// src/cost/dedup.ts
import { LRUCache } from 'lru-cache';
// Track enriched contacts to avoid paying twice
const enrichedCache = new LRUCache<string, boolean>({
max: 50_000,
ttl: 30 * 24 * 60 * 60 * 1000, // 30 days
});
export function enrichmentKey(params: { email?: string; linkedin_url?: string;
first_name?: string; last_name?: string; organization_domain?: string }): string {
// Prefer email as unique key, fall back to LinkedIn, then name+domain
return params.email
?? params.linkedin_url
?? `${params.first_name}:${params.last_name}:${params.organization_domain}`;
}
export function isAlreadyEnriched(key: string): boolean {
return enrichedCache.has(key);
}
export function markEnriched(key: string) {
enrichedCache.set(key, true);
}
```
### Step 4: Score Leads Before Enriching
Only spend credits on leads worth contacting.
```typescript
// src/cost/lead-scorer.ts
interface LeadSignals {
seniority?: string;
title?: string;
companyEmployees?: number;
hasEmail: boolean;
hasPhone: boolean;
hasLinkedIn: boolean;
}
export function shouldEnrich(signals: LeadSignals, threshold: number = 40): boolean {
let score = 0;
// Seniority — only enrich decision-makers
const topSeniority = ['c_suite', 'vp', 'founder', 'owner'];
if (topSeniority.includes(signals.seniority ?? '')) score += 40;
else if (signals.seniority === 'director') score += 30;
else if (signals.seniority === 'manager') score += 15;
else score += 5;
// Company size — mid-market is highest value
if (signals.companyEmployees && signals.companyEmployees >= 50 && signals.companyEmployees <= 1000) score += 25;
else if (signals.companyEmployees && signals.companyEmployees > 1000) score += 15;
// Missing data — worth enriching if we need the contact info
if (!signals.hasEmail) score += 20;
if (!signals.hasPhone) score += 10;
return score >= threshold;
}
```
### Step 5: Budget-Aware API Client
```typescript
// src/cost/budget-client.ts
import axios from 'axios';
import { creditTracker } from './credit-tracker';
import { isAlreadyEnriched, markEnriched, enrichmentKey } from './dedup';
const client = axios.create({
baseURL: 'https://api.apollo.io/api/v1',
headers: { 'Content-Type': 'application/json', 'x-api-key': process.env.APOLLO_API_KEY! },
});
// Credit-consuming endpoints
const CREDIT_ENDPOINTS = ['/people/match', '/people/bulk_match', '/organizations/enrich'];
// Block requests when over budget
client.interceptors.request.use((config) => {
const isCreditEndpoint = CREDIT_ENDPOINTS.some((ep) => config.url?.includes(ep));
if (isCreditEndpoint && creditTracker.isOverBudget()) {
throw new Error(`Daily credit budget exceeded (${creditTracker.report()})`);
}
return config;
});
// Track credit usage on success
client.interceptors.response.use((response) => {
const isCreditEndpoint = CREDIT_ENDPOINTS.some((ep) => response.config.url?.includes(ep));
if (isCreditEndpoint) {
// Bulk match: count matches, not calls
const matchCount = response.data?.matches?.length ?? 1;
creditTracker.record(matchCount);
// Mark as enriched for dedup
const email = response.data?.person?.email;
if (email) markEnriched(email);
}
return response;
});
export { client as budgetClient };
```
### Step 6: Cost-Optimized Pipeline
```typescript
import { budgetClient } from './cost/budget-client';
import { shouldEnrich } from './cost/lead-scorer';
import { isAlreadyEnriched, enrichmentKey } from './cost/dedup';
import { creditTracker } from './cost/credit-tracker';
async function enrichHighValueLeads(people: any[]) {
let enriched = 0, skipped = 0, deduped = 0;
const toEnrich: any[] = [];
for (const person of people) {
const key = enrichmentKey({ email: person.email, linkedin_url: person.linkedin_url,
first_name: person.first_name, last_name: person.last_name });
if (isAlreadyEnriched(key)) { deduped++; continue; }
if (!shouldEnrich({ seniority: person.seniority, hasEmail: !!person.email,
hasPhone: false, hasLinkedIn: !!person.linkedin_url })) { skipped++; continue; }
toEnrich.push(person);
}
// Bulk enrich in batches of 10
for (let i = 0; i < toEnrich.length; i += 10) {
const batch = toEnrich.slice(i, i + 10);
await budgetClient.post('/people/bulk_match', {
details: batch.map((p: any) => ({
first_name: p.first_name, last_name: p.last_name,
organization_domain: p.organization?.primary_domain,
})),
});
enriched += batch.length;
}
console.log(`Enriched: ${enriched}, Skipped (low-value): ${skipped}, Deduped: ${deduped}`);
console.log(`Credits: ${creditTracker.report()}`);
}
```
## Output
- Credit model reference table (free vs paid operations)
- `CreditTracker` with daily budget enforcement
- LRU deduplication preventing double-enrichment charges
- Lead scoring to enrich only high-value contacts
- Budget-aware client blocking requests at daily limit
- Cost-optimized pipeline combining all strategies
## Error Handling
| Issue | Resolution |
|-------|------------|
| Budget exceeded | Increase `APOLLO_DAILY_CREDIT_BUDGET` or wait until tomorrow |
| High dedup misses | Extend LRU TTL, verify key generation logic |
| Enriching low-value leads | Lower the `shouldEnrich` threshold |
| Month-end credit crunch | Spread enrichment evenly with daily budgets |
## Resources
- [Apollo API Pricing](https://docs.apollo.io/docs/api-pricing)
- [Apollo Plans](https://www.apollo.io/pricing)
- [View API Usage Stats](https://docs.apollo.io/reference/view-api-usage-stats)
## Next Steps
Proceed to `apollo-reference-architecture` for architecture patterns.Related Skills
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