Chat Completions
Generate OpenAI-compatible chat completions for a chosen model from a prompt or conversation messages. Control generation with temperature, a stop sequence, and a maximum token count.
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Integrate Metatextai
with your AI CRM
Metatext AI specializes in natural language processing and text generation, helping organizations automate writing tasks, sentiment analysis, or content moderation
Explore Triggers and Actions
Classify Text
Classify text using a project model and return labels with confidence scores. Missing confidence is reported as 0.0; an empty prediction list can also result from access, availability, rate-limit, or network failures.
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Create Policy Guardrails
Create a policy guardrail for a specific application to define automated content rules. Specify the policy's rules and targets, with an optional description and custom violation response.
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Delete Guardrail Policy
Delete a guardrail policy by application and policy ID. A success result can also reflect a 404 or 410 response and does not necessarily confirm that a policy was deleted.
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Evaluate Messages
Tool to evaluate LLM messages against policies/guardrails. Use after generating model output to get violation details or corrections.
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Generate Text
Generate text for a project model using either a prompt or chat messages. Set temperature, a stop sequence, and a maximum token count to control generation.
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List Applications
List MetaTextAI applications to discover their available IDs, names, and descriptions.
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List Guardrail Policies
List guardrail policies for a specific application using its application ID, to inspect its configured policies.
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List Models
List available models and their supported tasks to help choose a model for chat completions. An empty list can also indicate an authorization or endpoint failure, or an unrecognized response shape.
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List Red Team Test Probes
List available red-team test probe identifiers to discover probes for red teaming. No parameters are required.
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Run Extraction
Extract structured data from text using a project model. Empty predictions can also result from access, endpoint availability, or rate-limit failures.
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Run Red Team Test Scan
Tool to run a vulnerability red-team test scan. Use when you need to execute probes against an application.
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Update Policy Guardrails
Update an existing application's policy guardrails and rules. The returned policy may echo the request even when all endpoints fail and one returned 403 or 404, so it does not by itself confirm the update.
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How the Metatextai integration works
The Metatextai integration connects your Dench AI CRM directly to Metatextai, so agents can read and act on your Metatextai data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
13 actions are available for agents to invoke on your behalf. Every call runs through Metatextai's own authorization, scoped to the account you connect.
Set up Metatextai in Dench
- 1
Sign in to your Dench workspace and open Integrations.
- 2
Find Metatextai and click Connect — you'll authorize access through Metatextai's own sign-in flow. No API keys or code required.
- 3
Ask an agent to use Metatextai in chat, or call it from an automation.
- 4
Manage or disconnect the connection any time from workspace settings.
Frequently asked questions
How does the Metatextai integration work with Dench?
The Dench Metatextai integration connects your AI CRM to Metatextai, so AI agents can work with your Metatextai data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
What actions can AI agents perform with Metatextai via Dench?
The Metatextai integration currently exposes 13 actions, including Chat Completions, Classify Text, Create Policy Guardrails, Delete Guardrail Policy, Evaluate Messages, and Generate Text. Agents invoke them on your behalf from chat or from automations.
Do I need to write code to connect Metatextai to Dench?
No. You connect Metatextai from your Dench workspace using Metatextai's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Is the Metatextai integration secure?
Connections are authorized through Metatextai's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Metatextai connection from your workspace settings at any time.