datamergeEnrich companies and find B2B contacts using the DataMerge MCP server (mcp.datamerge.ai). Use when the user needs company firmographic data, validated contac...
Install via ClawdBot CLI:
clawdbot install poolside-ventures/datamergeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://mcp.datamerge.ai`.AI Analysis
The skill's external API usage is explicitly documented and consistent with its stated purpose of company/contact data enrichment. While it sends user queries to an external server (mcp.datamerge.ai), this is authorized and required for functionality. The 'UNSAFE_SHELL' signal appears to be a false positive from parsing the documentation text, not an actual tool command.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A SaaS startup needs to identify and enrich target companies in the tech industry to build a qualified lead list. Using DataMerge, they can enrich company domains to get firmographic data, then find validated contact emails for decision-makers like CTOs or VPs of Engineering. This enables targeted outreach campaigns with accurate contact information.
An investment firm wants to analyze potential investment targets by discovering lookalike companies based on successful portfolio domains. They use DataMerge to generate lookalike companies, enrich them for financial and operational insights, and map corporate hierarchies to assess market positioning and risks.
A large enterprise vendor plans a marketing campaign targeting specific industries like healthcare or manufacturing. They use DataMerge to enrich company data for segmentation, find contacts with validated emails and phone numbers for outreach, and manage lists of target accounts to track engagement and avoid duplicates.
A recruitment agency needs to source candidates for executive roles by identifying companies in growth sectors. Using DataMerge, they enrich companies to understand size and industry, search for contacts with job titles like 'CEO' or 'Director', and use validated emails to reach out directly for recruitment opportunities.
A manufacturing company aims to optimize its supply chain by mapping corporate hierarchies of suppliers and partners. They use DataMerge to enrich supplier domains, retrieve hierarchy data with entity names to understand ownership structures, and identify key contacts for negotiation and relationship management.
DataMerge offers a freemium model where users get free credits (e.g., 20 credits) to try the service, encouraging adoption without upfront cost. Revenue is generated from paid plans that provide more credits and advanced features, targeting small businesses and individual users who need occasional data enrichment.
Targeting large organizations, DataMerge provides a comprehensive SaaS platform with high-volume access to its database of 375M+ companies. Revenue comes from annual contracts offering unlimited or tiered credits, dedicated support, and custom integrations for sales, marketing, and research teams.
DataMerge operates as a data marketplace where users purchase credits to access specific data points like emails or phone numbers. This model appeals to freelancers and agencies needing flexible, on-demand data without long-term commitments, with revenue from credit sales and premium data sets.
💬 Integration Tip
Always call configure_datamerge with the API key first, and use get_credits_balance to manage costs before running batch jobs to avoid exceeding limits.
Scored Apr 19, 2026
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