Explain Extracted Document Data
Read a document’s extracted records and organize the values for your review.
/oo AlgoDocs: Read extracted data for AlgoDocs document [document ID]. Summarize [fields to review] and flag missing or inconsistent values.
Supply a processed document ID for analysis, or a public document URL and destination to import. AI can explain the extracted fields without assuming missing values.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Read a document’s extracted records and organize the values for your review.
/oo AlgoDocs: Read extracted data for AlgoDocs document [document ID]. Summarize [fields to review] and flag missing or inconsistent values.
Send a reachable document to the extractor and folder you specify.
/oo AlgoDocs: Import this document into AlgoDocs extractor [extractor ID] and folder [folder ID]: [public document URL]. Report the document ID so I can retrieve its extracted data when ready.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with an AlgoDocs secret API key.
Connect AlgoDocs →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
AlgoDocs extractors produce structured records from documents. Document IDs and extractor filters let you retrieve those records for summaries and consistency checks.
Read records for a document or list records for an extractor with folder and date filters.
List extractors and folders and import a document from a publicly accessible URL.
Get the AlgoDocs account identity for the connected API key.
algo_docs.get_me List document data extractors in the connected AlgoDocs account.
algo_docs.list_extractors List folders in the connected AlgoDocs file manager.
algo_docs.list_folders Import a publicly accessible document URL into AlgoDocs for an extractor and folder.
algo_docs.upload_document_from_url Get extracted data records for one AlgoDocs document ID.
algo_docs.get_extracted_data_by_document List extracted data records for an AlgoDocs extractor, optionally filtered by folder, limit, and upload date.
algo_docs.list_extracted_data No matching tools.
Provide a publicly accessible document URL, extractor ID, and folder ID for import. A local file path is not accepted by this import operation.
Yes. Specify the fields and validation rules, then have it distinguish missing values from values that fail your checks.
Import returns a document record. Extracted records are retrieved separately by document ID; availability depends on processing.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.