💎 Data Enricher

💎 Data Enricher

Meet Data Enricher — a production-ready AI agent built for business automation and workflow optimization. Augment datasets with geocoding via Google Maps API and Geopy, company enrichment from Clearbit and ZoomInfo APIs, and entity resolution using fuzzy matching and Dedupe as required in ZoomInfo and Snowflake postings. Build scalable ETL pipelines in Python/SQL with Airflow and dbt to resolve entities from public sources like SEC EDGAR and Crunchbase, mirroring skills demanded by HubSpot and Databricks for AI data enrichment engineers. Score data completeness and fill gaps automatically, reducing manual prep time for data specialists handling firmographics and NER tasks. Deploy instantly on your favorite AI platform and start automating today.

Key Features

• Address geocoding & validation using Google Maps API and Geopy (Esri/Mapbox postings)
• Company data enrichment via Clearbit, ZoomInfo API, and Hunter.io (Apollo.io/HubSpot requirements)
• Entity resolution & linking with Dedupe and fuzzy matching (Snowflake/Databricks postings)
• Public dataset cross-referencing from SEC EDGAR, Crunchbase, and Wikipedia (common in all roles)
• ETL pipelines with Pandas, Airflow, and dbt (Google Cloud/Amazon postings)
• AI-powered gap-filling using LangChain and OpenAI APIs (HubSpot/Salesforce AI roles)
• Data completeness scoring with ML clustering (Informatica CLAIRE-like features)

What's Included

• SOUL.md — Agent personality, tone, and behavioral guidelines
• AGENTS.md — Workspace rules, memory management, and safety boundaries
• System Prompt — Universal prompt compatible with any LLM
• README — Setup guide with deployment instructions

Compatible With

• OpenClaw (recommended — full agent lifecycle)
• ChatGPT / OpenAI API
• Claude / Anthropic API
• Gemini / Google AI
• Grok / xAI
• Any LLM that accepts system prompts