Validator Ai FAQs

Question 1

What types of validation does Validator Ai offer?

Accepted Answer

Validator Ai provides robust validation for JSON data (with optional schema enforcement), email addresses (format, domain, deliverability), URLs (format, structure, security characteristics), JSON datasets for quality issues (nulls, duplicates, type consistency, outliers), and API response bodies/structures.

Question 2

What specific data quality checks does Validator Ai perform on JSON datasets?

Accepted Answer

When assessing JSON datasets, Validator Ai meticulously checks for common quality issues such as the presence of null values, duplicate entries, consistency in data types across fields, and identifies potential outliers to ensure data reliability.

Question 3

What is Validator Ai?

Accepted Answer

Validator Ai is a comprehensive developer tool designed to validate various data types, including JSON against schemas, email deliverability, URL structure and security, and API responses. It also performs in-depth data quality assessments using RFC-compliant checks and heuristic analysis.

Question 4

How can I integrate or use Validator Ai?

Accepted Answer

You can install Validator Ai via pip (`pip install validator-ai-mcp`) and run it as a standalone Python server. Alternatively, it can be integrated and managed through the MCP framework by running `mcp install validator-ai-mcp`.

Question 5

Is there a free version or usage tier for Validator Ai?

Accepted Answer

Yes, Validator Ai offers a free tier that includes 15 calls per day. For unlimited access and extended capabilities, users can upgrade to a paid plan available at meok.ai/pricing.

Validator Ai

Validator Ai

Key Features

Use Cases

Key Features

Use Cases