MetatextAI
AI & Machine Learning

Connect Metatext AI to Your AI Agents

Let your Wkil agents generate text, classify content, extract data, and apply safety guardrails through Metatext AI.

Authentication: API key

What you can do

  • Generate and classify text with guardrails
  • Extract structured data from text
  • Test AI safety with red-team scans

Available capabilities may vary by authentication and workspace configuration.

Actions supported by the connector

Chat Completions
Generate a conversational AI response for a given prompt.
Classify Text
Categorize a piece of text into predefined labels.
Run Extraction
Pull structured data out of unstructured text.
Create Policy Guardrails
Define content-safety guardrail policies for AI output.
Run Red Team Test Scan
Test an AI application against adversarial red-team probes.

Practical agent use cases

  • An agent classifies incoming support text before routing it to the right team.
  • An agent applies guardrail policies before generating a customer-facing response.

How it works with Wkil

  1. 1
    Choose the integration
    Add MetatextAI to your agent from inside the Wkil platform.
  2. 2
    Grant the permissions it needs
    Define precisely what the agent can access and perform.
  3. 3
    Test, then run it
    Test actions before they go live, with human approval where needed.
Permissions always stay in your control — you can scope access and require human approval before any sensitive action.

FAQ

Can this help enforce content policy automatically?

Yes — guardrail policies can be applied to AI outputs before they reach a user.

Build with MetatextAI

Build with MetatextAI