Use Affinda from Claude Code
Bring Affinda context into engineering work while Type keeps app access attached to the teammate and workspace.
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.
Bring Affinda context into engineering work while Type keeps app access attached to the teammate and workspace.
Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.
Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.
Affinda provides an AI-powered document processing platform that automates data extraction from various document types.
Connect Affinda once, then decide which teammates can use it for threads, automations, skills, and coding work.
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 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
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 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
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.
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.
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.
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.
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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