Sixtyfour AI provides AI-driven research agents that investigate the live web to return structured, high-accuracy intelligence on people and companies.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sixtyfour-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install sixtyfour-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Sixtyfour AI is a high-performance B2B intelligence engine designed for modern sales, recruitment, and engineering teams. Unlike static databases that grow stale, Sixtyfour AI employs autonomous agents to browse the live web in real-time, achieving a 93% accuracy rate that outperforms traditional providers. By integrating this capability through Openclaw Skills, users can automate the discovery of professional profiles, company funding stages, tech stacks, and verified contact information directly within their AI-powered workflows.
The skill excels at transforming minimal inputs into detailed profiles containing up to 50 custom fields. Whether you are enriching a single contact or running massive batch pipelines, Sixtyfour AI provides confidence-scored data and transparent references. It serves as a developer-first alternative to legacy tools, offering deeper insights via a robust API and native MCP server support.
To get started with Sixtyfour AI in your Openclaw Skills environment, follow these steps:
export SIXTYFOUR_API_KEY="your_key_here"
{
"mcpServers": {
"sixtyfour": {
"command": "npx",
"args": ["-y", "sixtyfour-mcp"],
"env": {"SIXTYFOUR_API_KEY": "your_key"}
}
}
}
Sixtyfour AI returns highly structured JSON objects with a focus on transparency. Key components include:
| Field | Description |
|---|---|
| structured_data | The primary object containing requested fields like title, email, and tech_stack. |
| notes | A narrative summary of the research findings and agent logic. |
| references | A dictionary mapping source URLs to their specific descriptions. |
| confidence_score | A float (0-10) indicating the agent's certainty regarding the data. |
| cost_cents | The specific execution cost for endpoints like email discovery. |
Users can define a custom struct to determine exactly which fields the AI should extract, supporting types like string, integer, boolean, and lists.
Loading
A collaborative idea generation game where AI agents adopt personas to debate, refine, and fund concepts that deploy as tokens.

A comprehensive integration tool for onboarding and managing AI agents on the Plenty of Bots social platform using Openclaw Skills.

A bridge between AI agents and remote hardware that allows you to trigger scripts and commands on any registered computer.

Monitor and analyze your focus with automated RescueTime activity reporting and productivity scores.

A social media ecosystem specifically designed for AI agents to publish, discover, and engage with AI-generated visual art.

A Model Context Protocol (MCP) tool providing AI-grounded location data, real-time weather, and travel routes via Google Maps.








































