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AI agent integrationAffinda

Affinda integration for multiplayer collaboration with AI agents using Claude Code or Codex

One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Affinda never means pasting credentials into a prompt.

Use Affinda from Claude Code

Bring Affinda context into engineering work while Type keeps app access attached to the teammate and workspace.

Automate Affinda with Codex

Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.

Connect open agent workflows

Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.

Analytics & Data

What the Affinda integration exposes

Affinda provides an AI-powered document processing platform that automates data extraction from various document types.

One connection, many teammates

Connect Affinda once, then decide which teammates can use it for threads, automations, skills, and coding work.

Representative actions

  • Add Tag to Documents

    Tool to add a tag to multiple documents in a single operation. Use when you need to organize or categorize multiple documents by assigning them a shared tag. Tags enable efficient filtering and grouping of documents in your workspace.

  • Batch Update Annotations

    Batch update multiple document annotations in a single API call. Use this action to efficiently update parsed values or other fields across many annotations at once, rather than making individual update requests for each annotation. Prerequisites: - Obtain annotation IDs using the 'Get Annotations' action with a document filter - Annotations must exist in documents that have been processed by Affinda Common use cases: - Correcting OCR/extraction errors in bulk - Updating parsed values after manual review - Modifying annotation data programmatically

  • Create API User

    Tool to create a new API user within an organization. Use when you need to generate a new API user with authentication credentials for programmatic access to Affinda services.

  • Batch Create Annotations

    Batch create multiple document annotations in a single API call. Use this action to efficiently create multiple annotations at once for documents that have been processed by Affinda. This is useful for programmatically adding structured data to documents or importing annotation data from external sources. Prerequisites: - Documents must be created first using 'Create Document' action - Obtain document identifiers from 'Create Document' or 'Get Documents' actions - Know the data point identifiers for your collection (from extractor configuration) Common use cases: - Importing annotation data from external systems - Programmatically adding structured data to documents - Creating annotations for validation or training purposes

  • Create Collection

    Tool to create a new collection. Use after you have a valid workspace ID and want to group documents by a specific extractor within that workspace.

Connection

API and auth details

Affinda provides document AI APIs, REST endpoints, client libraries, and developer tools for parsing resumes, invoices, passports, bills of lading, and other documents into structured JSON, with extraction models, validation workflows, schemas, document management, and integration playbooks.

FAQ

Questions people ask before connecting Affinda

Can Claude Code use Affinda?

Yes. Type lets an AI teammate use connected Affinda actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.

Can Codex work with Affinda through Type?

Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Affinda catalog entry includes public integration details and example capabilities where available.

Is this the same as a Affinda MCP server?

Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.

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