Apollo Cost Tuning
SkillDev tools'Optimize Apollo.io costs and credit usage.
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Details
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What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/apollo-cost-tuning/SKILL.md and read by Ahel’s review.
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 (~$0.04/credit)
- Professional: 6,000 credits/month
- Organization: 12,000+ credits/month
Step 2: Track Credit Usage
// src/cost/credit-tracker.ts
class CreditTracker {
private daily: Map<string, number> = new Map();
private readonly budget: number;
constructor(dailyBudget: number = 200) {
this.budget = dailyBudget;
}
record(count: number = 1) {
const today = new Date().toISOString().split('T')[0];
this.daily.set(today, (this.daily.get(today) ?? 0) + count);
}
todayUsage(): number {
const today = new Date().toISOString().split('T')[0];
return this.daily.get(today) ?? 0;
}
isOverBudget(): boolean {
return this.todayUsage() >= this.budget;
}
report(): string {
const used = this.todayUsage();
return `${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
// 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.
// 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
// 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
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)
CreditTrackerwith 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
Examples
For a weekly prospecting batch, search first without enrichment, score the results, and prepare only the eligible records for enrichment. Start with a small batch of ten, record the before-and-after credit count, and persist the deduplication key only after Apollo confirms a result. When the daily ceiling is reached, leave the remaining candidate IDs queued for the next budget window; do not increase the environment budget during the run or retry unknown results in a way that can consume the same credit twice.
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
Next Steps
Proceed to apollo-reference-architecture for architecture patterns.
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
apollo-cost-tuning- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
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