# Aryn AI integration on Definable

> Aryn is an AI-powered platform for document parsing, data extraction, and analytics, enabling users to process and query unstructured documents at scale.

## What this connects

Aryn is an AI-powered platform for document parsing, data extraction, and analytics, enabling users to process and query unstructured documents at scale.

Vendor: https://www.aryn.ai/

## Tools available

**9** tools available. First 9:

- `ARYN_CREATE_DOCSET` — Create DocSet — Tool to create a new DocSet. Use when you need to allocate a storage container before adding documents.
- `ARYN_DELETE_DOCSET` — Delete DocSet — Tool to delete a DocSet and all its documents. Use after confirming the DocSet ID, when you need to permanently remove a DocSet and its contents.
- `ARYN_GENERATE_PLAN` — Generate plan — Tool to generate a query plan without executing it. Use when you need to review the logical plan before running your query (e.g., "Generate a plan for revenue breakdown by region").
- `ARYN_GET_DOC_SET` — Get DocSet Metadata — Tool to retrieve metadata for a specific DocSet by its ID. Use when you need to check DocSet details like name, creation time, properties, or prompts.
- `ARYN_GET_DOCUMENT` — Get Document by ID — Retrieve a document by ID from Aryn DocParse storage. Returns the document's parsed elements (text, tables, sections with embeddings), custom properties, and optionally the original binary content. Use this after obtaining a docset_id and doc_id from other Aryn actions (e.g., list_docs or add_doc).
- `ARYN_GET_DOCUMENT_BINARY` — Download Document Binary — Download the original binary content (e.g., PDF, image) of a document from an Aryn DocSet. This action retrieves the raw binary file that was originally uploaded to the DocSet. Use this when you need to access the original document file rather than the parsed elements or extracted text.
- `ARYN_LIST_ASYNC_TASKS` — List Async Tasks — Tool to list all outstanding asynchronous tasks for the account. Use when you need to check pending or running tasks.
- `ARYN_PARTITION_DOCUMENT` — Partition Document — Partition a document using Aryn DocParse to extract and structure its content elements including text, tables, and images. Supports file upload or URL input with extensive processing options for chunking, OCR, table extraction, image extraction, and multiple output formats. Use when you need to extract structured content from PDFs or other document formats.
- `ARYN_SUBMIT_ASYNC_ADD_DOC` — Submit Document for Async Add Doc — Tool to submit a document for asynchronous addition to a DocSet. Returns a task ID to track the operation. Use when you need to add documents to an existing DocSet and want to track the processing status.

## Auth

Auth schemes: `API_KEY`.

## How agents use Aryn

Inside a Definable workflow, Aryn is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Aryn** — the Researcher (GPT-5.5) pulls context from Aryn (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Aryn** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Aryn (create record, post message, draft email).
- **Designer / Engineer → Distributor → Aryn** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Aryn (attach file, open PR comment, post status).

The Verifier checks every Aryn call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- ai document extraction — https://definable.ai/apps/category/ai-document-extraction/
- artificial intelligence — https://definable.ai/apps/category/artificial-intelligence/

## Related

- HTML page: https://definable.ai/apps/aryn/
- Same category (ai document extraction): https://definable.ai/apps/category/ai-document-extraction/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt