Document & File Management

Connect Extracta.ai to Your AI Agents

Extracta.ai extracts structured JSON data from any document using LLM-based parsing, without needing predefined templates. Through this integration, WKIL agents can configure and run classification and extraction jobs, retrieve batch results, and manage the account's credit balance.

Authentication: API key

Build with Extracta.ai

What you can do

Configure and run document classification and extraction jobs, and update their parameters.
Retrieve extraction results for a document batch, and inspect classification or extraction configuration details.
Check the account's remaining credit balance and delete classification or extraction jobs.

Available capabilities may vary by authentication and workspace configuration.

Actions supported by the connector

10 verified tools

Create Classification

Creates a new document classification configuration.

Create Extraction

Creates a new extraction configuration for processing documents.

Delete Classification

Permanently deletes an entire document classification process including all associated batches, results, and uploaded files.

Delete Extraction

Permanently deletes an extraction job and its configuration from the system.

Get Batch Results

Retrieves extraction results for a specific batch of documents.

Get Credits

Retrieves the current credit balance available on the account.

Update Classification

Updates an existing document classification by modifying its parameters.

Update Extraction

Updates an existing document extraction process by modifying specified parameters.

View all verified tools (search)

Create ClassificationCreate ExtractionDelete ClassificationDelete ExtractionGet Batch ResultsGet CreditsUpdate ClassificationUpdate ExtractionView ClassificationView Extraction

Practical agent use cases

A document-processing workflow can have a WKIL agent create an extraction configuration and pull structured JSON results for a batch of uploaded documents.
An ops agent can check the account's credit balance before submitting a large extraction batch to avoid running out mid-job.

How it works with WKIL

1
Choose the integration
Add Extracta.ai to your agent from inside the WKIL platform.
2
Grant the permissions it needs
Define precisely what the agent can access and perform.
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.

Related integrations

FAQ

What is Extracta.ai?

Extracta.ai extracts structured JSON data from any document using LLM-based parsing, without requiring predefined templates.

What does the Extracta.ai integration support?

The WKIL integration exposes 10 verified actions covering classification and extraction configuration (create, update, delete, view), batch results, and account credit balance.

Does WKIL need access to an Extracta.ai account?

Yes. The integration requires an Extracta.ai API key and should be scoped to the permissions your workflow needs.