sixtyfour-skillPeople and company intelligence via the Sixtyfour AI API. AI research agents that read the live web — not static databases — to return structured, confidence...
Install via ClawdBot CLI:
clawdbot install rxhxm/sixtyfour-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.sixtyfour.ai/enrich-leadCalls external URL not in known-safe list
https://api.sixtyfour.ai`AI Analysis
The skill's external API calls are fully documented and consistent with its stated purpose of people/company intelligence enrichment. While it sends user-provided lead/company data to sixtyfour.ai's API, this is an expected and transparent part of the service functionality, not unauthorized exfiltration. No hidden instructions, credential harvesting, or obfuscation were detected.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Sales teams can use the enrich-lead endpoint to gather detailed profiles of potential leads, including contact info, tech stack, and pain points, enabling personalized outreach. This helps prioritize high-value prospects and tailor messaging based on their role and company stage.
Recruiters can leverage the search endpoints to find candidates via natural language queries or structured filters, enriching profiles with skills, recent activity, and social links. This streamlines sourcing for hard-to-fill roles by identifying passive candidates with specific expertise.
Companies can use enrich-company to research competitors, analyzing tech stacks, funding rounds, and hiring signals to identify market trends and opportunities. This supports strategic planning by providing real-time insights into industry players.
Venture capitalists and investors can qualify leads with the qa-agent endpoint, scoring startups against custom criteria like team size and funding history. This automates initial screening to focus on promising investment opportunities with structured reasoning.
Organizations can run batch workflows via the workflows/run endpoint to enrich large datasets of leads or companies in their CRM, updating fields like email, phone, and tech stack. This improves data quality and operational efficiency without manual intervention.
Charges based on API calls, such as per email found or enrichment request, with tiered pricing for volume. This model suits businesses with variable usage, offering flexibility and scalability without upfront commitments.
Offers monthly or annual subscriptions with usage limits, such as a certain number of deep researches per month, catering to steady users like sales teams. Higher tiers include advanced features like batch workflows and priority support.
Provides custom pricing for large organizations needing high-volume API access, dedicated support, and integration assistance. This model targets enterprises with ongoing enrichment needs, ensuring reliability and scalability.
💬 Integration Tip
Use async endpoints for production workloads to handle timeouts, and define custom struct fields precisely to guide the AI agent's research for accurate results.
Scored Apr 19, 2026
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