Interzoid provides comprehensive global data verification, standardization, and enrichment services to improve data quality for AI agents and applications.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install interzoid
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 interzoid using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Interzoid is a robust integration that allows developers and data scientists to access global data verification and enrichment APIs. By leveraging Openclaw Skills, this tool enables AI agents to validate email addresses, profile phone numbers, and standardize geographic data like city and country names with high precision. It serves as a critical bridge for maintaining high data quality across CRM, marketing, and analytics workflows.
This skill eliminates the complexity of manual data cleaning by offering automated similarity keys for fuzzy matching and deduplication. Whether you are dealing with inconsistent product names or validating international business information, this Openclaw Skills integration provides the necessary tools to ensure your datasets remain clean and actionable for any professional use case.
Install the CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Authenticate the agent:
membrane login --tenant --clientName=openclaw
Establish the connection to Interzoid:
membrane connection ensure "https://www.interzoid.com/" --json
The skill returns structured JSON responses for various data types, ensuring consistency across Openclaw Skills integrations:
| Data Type | Key Attributes |
|---|---|
| Phone Profile | Standardized format, carrier, type, location, timezone |
| Email Info | Validity, domain owner, company revenue, geolocation, employee count |
| Business Info | Revenue, employee count, executives, company URL, industry |
| Geodata | ZIP code details, latitude/longitude, population, area size |
| Similarity Keys | Generated hashes for fuzzy matching of names, addresses, and products |
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