---

name: apollo-reference-architecture description: 'Implement Apollo.io reference architecture.

Use when designing Apollo integrations, establishing patterns,

or building production-grade sales intelligence systems.

Trigger with phrases like "apollo architecture", "apollo system design",

"apollo integration patterns", "apollo best practices architecture".

' allowed-tools: Read, Write, Edit, Bash(gh:), Bash(curl:) version: 1.13.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• apollo
• apollo-reference compatibility: Designed for Claude Code

---

Apollo Reference Architecture

Overview

Production-ready reference architecture for Apollo.io integrations. Layered design with API client, service layer, background jobs, database models, CRM sync, and deals pipeline — all built around Apollo's REST API with correct endpoints and x-api-key authentication.

Prerequisites

• Apollo master API key
• Node.js 18+ with TypeScript
• PostgreSQL for data layer
• Redis for job queues

Instructions

Step 1: Architecture Diagram

┌───────────────────────────────────────────────┐
│                 API Layer                      │  Express routes
│  POST /api/leads/search     GET /api/org/:d    │  POST /api/deals
├───────────────────────────────────────────────┤
│              Service Layer                     │  Business logic
│  LeadService    EnrichService   DealService    │  SequenceService
├───────────────────────────────────────────────┤
│              Client Layer                      │  Apollo API wrapper
│  ApolloClient   RateLimiter   Cache            │  CreditTracker
├───────────────────────────────────────────────┤
│            Background Jobs                     │  BullMQ queues
│  EnrichJob    SyncJob    StageChangeJob        │  TaskCreatorJob
├───────────────────────────────────────────────┤
│              Data Layer                        │  Prisma/TypeORM
│  Contact   Organization   Deal   AuditLog      │
└───────────────────────────────────────────────┘

Step 2: Service Layer

// src/services/lead-service.ts
import { getApolloClient } from '../apollo/client';
import { withRetry } from '../apollo/retry';
import { cachedRequest } from '../apollo/cache';

export class LeadService {
  private client = getApolloClient();

  async searchPeople(params: { domains: string[]; titles?: string[]; seniorities?: string[]; page?: number }) {
    return cachedRequest('/mixed_people/api_search',
      () => withRetry(() => this.client.post('/mixed_people/api_search', {
        q_organization_domains_list: params.domains,
        person_titles: params.titles,
        person_seniorities: params.seniorities,
        page: params.page ?? 1, per_page: 100,
      })),
      params,
    );
  }

  async enrichPerson(email: string) {
    return withRetry(() => this.client.post('/people/match', { email }));
  }

  async enrichOrg(domain: string) {
    return cachedRequest('/organizations/enrich',
      () => withRetry(() => this.client.get('/organizations/enrich', { params: { domain } })),
      { domain },
    );
  }
}

Step 3: Deals/Opportunities Service

Apollo has a full Deals API for tracking revenue pipeline.

// src/services/deal-service.ts
export class DealService {
  private client = getApolloClient();

  async createDeal(params: {
    name: string;
    amount: number;
    ownerId: string;       // Apollo user ID
    accountId?: string;    // Apollo account ID
    contactIds?: string[]; // Apollo contact IDs
    stageId?: string;      // Deal stage ID
  }) {
    const { data } = await this.client.post('/opportunities', {
      name: params.name,
      amount: params.amount,
      owner_id: params.ownerId,
      account_id: params.accountId,
      contact_ids: params.contactIds,
      opportunity_stage_id: params.stageId,
    });
    return { dealId: data.opportunity.id, name: data.opportunity.name };
  }

  async listDeals(page: number = 1) {
    const { data } = await this.client.post('/opportunities/search', { page, per_page: 50 });
    return data.opportunities.map((d: any) => ({
      id: d.id, name: d.name, amount: d.amount,
      stage: d.opportunity_stage?.name, owner: d.owner?.name,
    }));
  }

  async getDealStages() {
    const { data } = await this.client.get('/opportunity_stages');
    return data.opportunity_stages.map((s: any) => ({ id: s.id, name: s.name, order: s.display_order }));
  }

  async updateDeal(dealId: string, updates: { amount?: number; stageId?: string }) {
    await this.client.patch(`/opportunities/${dealId}`, {
      amount: updates.amount,
      opportunity_stage_id: updates.stageId,
    });
  }
}

Step 4: Background Job Processing

// src/jobs/enrichment-job.ts
import { Queue, Worker, Job } from 'bullmq';
import { LeadService } from '../services/lead-service';

const connection = { host: process.env.REDIS_HOST ?? 'localhost', port: 6379 };

export const enrichmentQueue = new Queue('apollo-enrichment', {
  connection,
  defaultJobOptions: {
    attempts: 3,
    backoff: { type: 'exponential', delay: 5000 },
    removeOnComplete: 1000,
  },
});

const leadService = new LeadService();

new Worker('apollo-enrichment', async (job: Job) => {
  switch (job.name) {
    case 'enrich-person':
      return leadService.enrichPerson(job.data.email);
    case 'enrich-org':
      return leadService.enrichOrg(job.data.domain);
    case 'bulk-search': {
      const results: any[] = [];
      for (const domain of job.data.domains) {
        const { data } = await leadService.searchPeople({ domains: [domain] });
        results.push(...data.people);
        await job.updateProgress(results.length);
      }
      return { total: results.length };
    }
  }
}, { connection, concurrency: 3, limiter: { max: 50, duration: 60_000 } });

Step 5: Database Model

// src/models/contact.ts (Prisma schema excerpt)
// model Contact {
//   id             String   @id @default(cuid())
//   apolloId       String   @unique
//   emailHash      String   @unique // keyed/blind index; not the email itself
//   contactCiphertext Bytes  // application-encrypted, minimized contact fields
//   organizationId String?
//   enrichedAt     DateTime?
//   createdAt      DateTime @default(now())
//   updatedAt      DateTime @updatedAt
// }

// TypeORM version
import { Entity, Column, PrimaryColumn, CreateDateColumn, UpdateDateColumn } from 'typeorm';

@Entity('contacts')
export class Contact {
  @PrimaryColumn() apolloId: string;
  @Column({ unique: true }) emailHash: string; // keyed hash for deduplication
  @Column({ type: 'bytea' }) contactCiphertext: Buffer; // app-encrypted fields only
  @Column({ nullable: true }) organizationId: string;
  @Column({ nullable: true }) enrichedAt: Date;
  @CreateDateColumn() createdAt: Date;
  @UpdateDateColumn() updatedAt: Date;
}

Step 6: API Routes

// src/api/routes.ts
import { Router } from 'express';
import { LeadService } from '../services/lead-service';
import { DealService } from '../services/deal-service';

const router = Router();
const leads = new LeadService();
const deals = new DealService();

router.post('/api/leads/search', async (req, res) => {
  const { data } = await leads.searchPeople(req.body);
  res.json({ leads: data.people, pagination: data.pagination });
});

router.post('/api/leads/enrich', async (req, res) => {
  const { data } = await leads.enrichPerson(req.body.email);
  res.json({ contact: data.person });
});

router.get('/api/organizations/:domain', async (req, res) => {
  const { data } = await leads.enrichOrg(req.params.domain);
  res.json({ organization: data.organization });
});

router.post('/api/deals', async (req, res) => {
  const result = await deals.createDeal(req.body);
  res.json(result);
});

router.get('/api/deals', async (req, res) => {
  const list = await deals.listDeals(parseInt(req.query.page as string) || 1);
  res.json({ deals: list });
});

export { router };

Output

• Layered architecture: API, Service, Client, Jobs, Data
• LeadService with cached search and retried enrichment
• DealService with create, list, update, and stage management
• BullMQ background jobs for async enrichment
• Database model (Prisma + TypeORM)
• Express API routes for search, enrichment, and deals

Examples

For an initial architecture rollout, begin with free search behind an authenticated service boundary, retain only the organization and lead fields the approved use case needs, and encrypt contact data before it enters the database. Store a keyed hash only for deduplication; never persist raw Apollo responses or expose enrichment routes directly without authorization, budget, and audit controls. Run a small staging queue with an explicit dead-letter review path and validate that retrying a job cannot create duplicate contacts or deals. If encryption, authorization, budget enforcement, or idempotency is not demonstrably active, stop the rollout and keep the workflow in the non-production environment.

Error Handling

| Layer | Strategy | |-------|----------| | Client | Retry with backoff, circuit breaker for prolonged outages | | Service | Cache fallback on failure, credit budget enforcement | | Jobs | 3 retries with exponential backoff, dead letter after max | | API | Structured JSON error responses with error codes |

Resources

• Apollo API Overview
• Create Deal
• List Deals
• Deal Stages
• BullMQ Documentation

Next Steps

Proceed to apollo-multi-env-setup for environment configuration.