Directory Agent Profiles
Five specialized AI agents that collaborate to build online directories. Each has a clearly bounded role with zero overlap -- Scout finds data, Validator cleans it, Enricher deepens it, Architect builds the site, and Revenue Ops monetizes it.
Agent Profiles
SCOUT
Data Acquisition Specialist
Does
- Collects raw data from multiple sources
- Identifies new data sources and directories
- Manages scraping schedules and rate limits
- Covers target geographic regions systematically
Does NOT
- Clean, validate, or deduplicate data
- Verify if businesses are still open
- Extract features or enrich records
- Build any frontend or database schemas
Status Indicators
VALIDATOR
Quality Assurance Engineer
Does
- Removes junk, duplicates, and dead records
- Verifies business existence via website checks
- Validates addresses and phone numbers
- Assigns confidence scores to each record
Does NOT
- Scrape or discover new data sources
- Extract features, amenities, or pricing
- Build frontend pages or database schemas
- Set up monetization or lead capture
Status Indicators
ENRICHER
Feature Extraction Analyst
Does
- Extracts deep features from business web pages
- Parses unstructured content into structured fields
- Selects and scores images for each listing
- Maps service areas and operating hours
Does NOT
- Perform initial data scraping or discovery
- Validate addresses or phone numbers
- Design database schemas or build pages
- Handle monetization or revenue strategy
Status Indicators
ARCHITECT
SEO & Frontend Engineer
Does
- Designs database schemas from enriched data
- Generates location-specific landing pages
- Implements structured data for search engines
- Optimizes page speed and Core Web Vitals
Does NOT
- Collect, clean, or enrich any data
- Decide on monetization strategies
- Set up ad placements or lead capture
- Manage revenue dashboards or analytics
Status Indicators
REVENUE OPS
Monetization & Growth Strategist
Does
- Sets up lead capture and ad placements
- Configures affiliate tracking systems
- Builds premium listing tier structures
- Monitors conversion funnels and A/B tests
Does NOT
- Scrape, validate, or enrich data
- Build database schemas or frontend pages
- Handle infrastructure or deployment
- Make technical SEO decisions
Status Indicators
Handoff Protocol
Each agent produces a specific artifact that the next agent consumes. Data flows in one direction with no backtracking or overlap.
SCOUT
Data Acquisition Specialist
VALIDATOR
Quality Assurance Engineer
ENRICHER
Feature Extraction Analyst
ARCHITECT
SEO & Frontend Engineer
REVENUE OPS
Monetization & Growth Strategist
MONETIZED DIRECTORY
Revenue-generating product
Agent Comparison Matrix
Side-by-side comparison of all five agents across key dimensions.
| Dimension | SCOUT | VALIDATOR | ENRICHER | ARCHITECT | REVENUE OPS |
|---|---|---|---|---|---|
| Primary Skill | Data collection | Data cleaning | Feature extraction | Site building | Monetization |
| Key Tools | Outscraper, Bright Data | Crawl4AI, Address APIs | Claude API, Vision | Supabase, Vercel | Google Ads, CRM |
| Budget Range | $50-150/mo | $30-80/mo | $80-200/mo | $40-120/mo | $30-80/mo |
| Data Access | External sources | Raw datasets | Validated datasets | Enriched datasets | Live site data |
| Output Type | Raw CSVs | Verified records | Rich profiles | Production site | Revenue features |
| Heartbeat | 6 hours | 4 hours | 2 hours | 8 hours | 12 hours |
Why These Agents Do Not Overlap
Each agent has a clearly bounded responsibility. This separation prevents conflicts, ensures accountability, and allows independent scaling and optimization.
Scout's sole purpose is casting the widest net possible. It pulls raw records from every available source without filtering or scoring. This prevents collection bias -- if Scout also validated, it might skip sources that look low-quality but actually contain valuable listings.
Validator focuses exclusively on answering one question: is this record real and accurate? It removes duplicates, checks if businesses exist, and validates contact info. It never tries to understand what the business offers -- that would conflate verification with enrichment.
Enricher takes verified records and makes them rich with structured data: amenities, pricing, hours, images. It uses LLMs to parse unstructured web content into clean fields. It never decides how to store or display this data -- that separation ensures data quality stays independent of technical constraints.
Architect transforms enriched data into a production-ready website with database schemas, APIs, SEO pages, and fast frontend. It optimizes for search visibility and page speed but never decides where to place ads or how to capture leads -- mixing engineering with monetization would compromise both.
Revenue Ops works only with the finished directory. It adds lead capture, ad placements, premium tiers, and conversion tracking. Because it never modifies the underlying data or site architecture, it can experiment freely with monetization strategies without risking data integrity or site stability.
Agent Configuration Selector
Describe your directory project and get a recommended agent configuration for each of the 5 agents.
1How many listings will your directory have?
2What data quality level do you need?
3How rich should each listing be?
4Do you need a custom frontend?
5What is your revenue model?
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