Fire-Enrich

"5 AI Agents That Turn a Company Name into Complete Intelligence" by John Rippy | johnrippy.link

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Stop Manually Researching Every Lead

You're currently doing: Google searches, LinkedIn stalking, checking Crunchbase, scanning websites, trying to find emails, manually entering data into your CRM.

What if 5 AI agents did all of this in seconds?

Fire-Enrich uses a multi-agent architecture where each agent builds on the previous context, creating a comprehensive company profile from just a name and website:

• Discovery Agent - Basic company information
• Company Profile Agent - Industry, size, headquarters
• Financial Intel Agent - Funding, revenue, investors
• Tech Stack Agent - Technologies, CMS, analytics tools
• Custom Fields Agent - Extract any data you define

All with source attribution. Every data point links back to where it was found.

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How It Works

Company Name + Website
        ↓
   ┌─────────────┐
   │  DISCOVERY  │ → Name, Type, Description
   │    AGENT    │
   └─────────────┘
        ↓
   ┌─────────────┐
   │  COMPANY    │ → Industry, Size, HQ, Founded
   │   PROFILE   │
   └─────────────┘
        ↓
   ┌─────────────┐
   │  FINANCIAL  │ → Funding, Investors, Revenue
   │    INTEL    │
   └─────────────┘
        ↓
   ┌─────────────┐
   │  TECH STACK │ → Languages, CMS, Analytics, Ads
   │    SCAN     │
   └─────────────┘
        ↓
   ┌─────────────┐
   │   CUSTOM    │ → Your defined fields
   │   FIELDS    │
   └─────────────┘
        ↓
   Complete Company Intelligence

Each agent receives the context from previous agents, enabling smarter, more accurate extraction.

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Use Cases

1. Sales Lead Enrichment

{
  "leads": [
    { "companyName": "Stripe", "website": "https://stripe.com" }
  ],
  "agents": ["discovery", "company_profile", "financial_intel", "tech_stack"],
  "firecrawlApiKey": "fc-xxx",
  "anthropicApiKey": "sk-ant-xxx"
}

Returns: Complete company profile with industry, employee count, funding history, tech stack.

2. Competitive Intelligence

{
  "leads": [
    { "companyName": "Competitor A", "website": "https://competitor.com" },
    { "companyName": "Competitor B", "website": "https://rival.com" }
  ],
  "agents": ["discovery", "company_profile", "financial_intel", "tech_stack"],
  "customFields": [
    { "name": "pricingModel", "description": "What pricing model do they use?" },
    { "name": "targetMarket", "description": "Who is their primary target market?" }
  ]
}

3. Investment Research

{
  "leads": [
    { "companyName": "Startup Inc", "website": "https://startup.com" }
  ],
  "agents": ["discovery", "company_profile", "financial_intel"],
  "customFields": [
    { "name": "productMarketFit", "description": "Evidence of product-market fit" },
    { "name": "competitiveAdvantage", "description": "What is their moat?" }
  ]
}

4. Marketing Qualification

{
  "leads": [
    { "companyName": "Prospect Corp", "website": "https://prospect.com" }
  ],
  "agents": ["discovery", "company_profile", "tech_stack"],
  "customFields": [
    { "name": "hasMarketing", "description": "Do they have a marketing team?" },
    { "name": "adSpend", "description": "Evidence of advertising spend" }
  ]
}

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AI Agents Deep Dive

1. Discovery Agent

Extracts foundational company information:

Field	Description
companyName	Official company name
website	Primary website URL
businessType	B2B, B2C, SaaS, Agency, etc.
description	Brief company description

2. Company Profile Agent

Builds on discovery context to extract:

Field	Description
industry	Primary industry classification
subIndustry	More specific industry segment
employeeCount	Size range (1-10, 11-50, 51-200, etc.)
yearFounded	Year company was established
headquarters	City, State/Country of HQ

3. Financial Intel Agent

Analyzes funding and financial information:

Field	Description
funding	Total funding raised
lastFundingRound	Most recent round details
investors	Known investors
revenueEstimate	Estimated annual revenue

4. Tech Stack Agent

Identifies technologies used:

Field	Description
technologies	Programming languages, frameworks
cms	Content management system
analytics	Analytics tools (GA, Segment, etc.)
advertising	Ad platforms detected

5. Custom Fields Agent

Extracts any user-defined fields based on accumulated context.

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Input Parameters

Parameter	Type	Required	Default	Description
leads	array	Yes*	-	Array of companies to enrich
leads[].companyName	string	Yes	-	Company name
leads[].website	string	Yes	-	Company website
leads[].city	string	No	-	City (for disambiguation)
leads[].state	string	No	-	State (for disambiguation)
agents	array	No	all	Which agents to run
customFields	array	No	-	Custom fields to extract
customFields[].name	string	Yes	-	Field name (camelCase)
customFields[].description	string	Yes	-	Description of what to extract
firecrawlApiKey	string	Yes*	-	Firecrawl API key
anthropicApiKey	string	Yes*	-	Anthropic API key (Claude)
openaiApiKey	string	No	-	OpenAI key (fallback)
maxConcurrency	integer	No	3	Parallel processing limit
demoMode	boolean	No	false	Test with sample data

*Not required in demo mode

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Output Format

{
  "companyName": "Stripe",
  "website": "https://stripe.com",
  "businessType": "B2B SaaS",
  "description": "Financial infrastructure platform for businesses",
  "industry": "Financial Technology",
  "subIndustry": "Payment Processing",
  "employeeCount": "5000+",
  "yearFounded": "2010",
  "headquarters": "San Francisco, CA",
  "funding": "$8.7B",
  "lastFundingRound": "Series I - March 2021",
  "investors": ["Sequoia Capital", "Andreessen Horowitz", "Tiger Global"],
  "revenueEstimate": "$14B+ (2023)",
  "technologies": ["Ruby", "Go", "React", "AWS"],
  "cms": null,
  "analytics": ["Segment", "Amplitude"],
  "advertising": ["Google Ads"],
  "customFields": {
    "hasEcommerce": false,
    "targetMarket": "Developers and businesses"
  },
  "sources": [
    { "url": "https://stripe.com/about", "field": "description" },
    { "url": "https://stripe.com/newsroom", "field": "funding" }
  ],
  "enrichedAt": "2024-12-23T10:30:00Z",
  "agentsUsed": ["discovery", "company_profile", "financial_intel", "tech_stack"],
  "cost": 0.04
}

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Pricing

BYOK (Bring Your Own Keys)

You pay directly to each provider:

Provider	Cost	Purpose
Firecrawl	~$0.001/page	Web scraping
Anthropic	~$0.01-0.03/lead	AI extraction (Claude Haiku)
Apify	~$0.10-0.25/run	Compute

Cost Per Lead

Agents Used	Estimated Cost
Discovery only	~$0.01
Discovery + Profile	~$0.02
All 4 agents	~$0.03-0.05
All 4 + Custom Fields	~$0.04-0.06

Cost Comparison

Leads/Month	Fire-Enrich	ZoomInfo	Apollo
100	~$5	$99+	$49+
500	~$25	$199+	$99+
1000	~$50	$499+	$199+

No monthly subscription. Pay per use.

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API Integration

Using the Apify API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('localhowl/fire-enrich').call({
  leads: [
    { companyName: 'Stripe', website: 'https://stripe.com' },
    { companyName: 'Notion', website: 'https://notion.so' }
  ],
  agents: ['discovery', 'company_profile', 'financial_intel', 'tech_stack'],
  customFields: [
    { name: 'targetMarket', description: 'Who is their target customer?' }
  ],
  firecrawlApiKey: 'fc-xxx',
  anthropicApiKey: 'sk-ant-xxx',
  maxConcurrency: 5
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(company => {
  console.log(`${company.companyName}: ${company.industry}, ${company.employeeCount} employees`);
});

Using cURL

curl -X POST "https://api.apify.com/v2/acts/localhowl~fire-enrich/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "leads": [
      { "companyName": "Stripe", "website": "https://stripe.com" }
    ],
    "agents": ["discovery", "company_profile"],
    "firecrawlApiKey": "fc-xxx",
    "anthropicApiKey": "sk-ant-xxx"
  }'

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Demo Mode

Test the actor without API keys:

{
  "demoMode": true
}

Returns sample data for Stripe and Notion with all agent outputs.

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Perfect For

Sales Teams

• Enrich inbound leads automatically
• Build complete prospect profiles
• Identify high-value opportunities

Marketing Teams

• Qualify MQLs with company data
• Segment by industry, size, funding
• Personalize outreach campaigns

Investors & VCs

• Research portfolio candidates
• Due diligence automation
• Market mapping

Recruiters

• Research target companies
• Identify growing companies
• Tech stack analysis for matching

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Integration with Your Pipeline

Fire-Enrich integrates with your existing enrichment queue:

// Add to enrichment pipeline
const result = await enrichmentQueue.addLead(lead, ['fire_enrich'], {
  priority: PRIORITY.SINGLE_LEAD
});

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Limitations

• Rate Limits: Respects Firecrawl rate limits
• Private Companies: Limited financial data for private companies
• Accuracy: AI-extracted data should be verified for critical decisions
• Language: Best results for English-language websites

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Support

For issues or feature requests, contact support@localhowl.com

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Built by John Rippy | johnrippy.link

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Keywords

lead enrichment, company data api, b2b lead enrichment, sales intelligence, company research automation, zoominfo alternative, apollo alternative, ai lead enrichment, multi-agent enrichment, company profile api, funding data, tech stack detection, firecrawl, claude ai