API_KEY
nanonets_api_key
Developer setup
No fields declared in this snapshot.
User connection
- API Keygeneric_api_key · stringRequired
All integrations
NA
Catalogue metadata onlyai document extractionv20260615_00
NANO_NETS
Nanonets
Nanonets provides an AI-driven Intelligent Document Processing API that transforms unstructured documents into structured data, enabling efficient data extraction and workflow automation.
Description is untrusted, display-only upstream metadata. It never becomes policy, OAuth scope authority, or an agent instruction.
Pakkawork boundary
Research catalogue metadata only. No Pakkawork OAuth, credential, host, quota, executor, or verifier is enabled.
No Pakkawork execution adapter is enabled. Hosted account-authorisation availability is workspace-specific and checked separately in the dashboard.Check workspace connection options
Attributed source 11
Action summaries
Display-only definitions
0
Trigger types
Not installed instances
1
Auth modes
Field names, never values
No
Execution
No runtime adapter
Authentication map
What setup is declared?
Only field names, types, and required markers are shown. Secret values, default auth URLs, credential material, and inferred OAuth scopes are excluded.
API_KEY
Provider setup
Capability index
Actions and trigger definitions
Static summaries are available. Live schemas remain disabled until PROVIDER_HUB_API_KEY is configured server-side.
Showing 1–11 of 11 actions
Create Model
NANO_NETS_CREATE_MODEL
Tool to create a new image classification or OCR model. Use when you need to initialize a model before uploading training images. Provide a list of categories/classes that the model should learn to identify or extract.
Untrusted display-only summary
Delete OCR Model
NANO_NETS_DELETE_MODEL
Permanently deletes an OCR model from Nanonets. Use this action when you need to remove a trained model that is no longer needed. This action is irreversible - once deleted, the model and all its training data cannot be recovered. Prerequisites: Obtain the model_id from the 'Get all OCR models' action first.
Untrusted display-only summary
Get All Models
NANO_NETS_GET_ALL_MODELS
Retrieves all models (OCR and Image Classification) in the user's NanoNets account. Returns model details including ID, type, status, accuracy, and extractable fields/categories. Use to discover available models before performing predictions or training operations.
Untrusted display-only summary
Get All Prediction Files
NANO_NETS_GET_ALL_PREDICTION_FILES
Retrieve all prediction files (OCR results) for a NanoNets model. Use this tool to: - List all documents/images that have been processed by an OCR model - Get prediction results including extracted text and field values - Access file URLs and processing status for each prediction The response includes prediction label…
Untrusted display-only summary
Get OCR Model Details
NANO_NETS_GET_MODEL_DETAILS
Tool to retrieve details of an OCR model. Use when you need full metadata of a model by its ID.
Untrusted display-only summary
Get OCR Training Images
NANO_NETS_GET_TRAINING_IMAGES
Tool to retrieve training images for an OCR model. Use when you need to page through images associated with a model before training or analysis.
Untrusted display-only summary
Get Workflows
NANO_NETS_GET_WORKFLOWS
Tool to retrieve a list of all workflows in your Nanonets account. Use when you need to inventory or inspect all configured workflows.
Untrusted display-only summary
List Workflow Documents
NANO_NETS_LIST_DOCUMENTS
Retrieve a paginated list of documents processed by a NanoNets workflow. Returns document metadata including processing status, upload timestamp, verification status, and page details. Use this to monitor document processing progress or access extracted data from previously uploaded documents.
Untrusted display-only summary
Update Model AI Guidelines
NANO_NETS_UPDATE_MODEL
Update AI Agent guidelines for an OCR model. Sets instructions for how the AI should handle field and table predictions. Only works for Instant Learning models. Use this to customize extraction behavior for specific document types.
Untrusted display-only summary
Upload Training Images by File
NANO_NETS_UPLOAD_TRAINING_IMAGES_BY_FILE
Tool to upload a training image file to a specified OCR model. Use when adding a local image file to train the model. Supported file formats include PNG, JPEG, and PDF.
Untrusted display-only summary
Upload Training Images by URL
NANO_NETS_UPLOAD_TRAINING_IMAGES_BY_URL
Tool to upload training images by URL to a specified OCR model. Use when adding URLs of images to a model for training purposes.
Untrusted display-only summary
Provenance
Versioned facts, explicit trust.
The detail snapshot comes from an attributed MIT-licensed repository revision. Safe local icons use exact-match CC0 Simple Icons symbols; unmatched brands use monograms.
- Repository
- https://github.com/provider-directoryHQ/provider-directory
- Commit
- 85e33f6a81dfe987f6fc3637d48d45052cea8ca5
- Generated
- 2026-09-12
- Trust policy
- untrusted_display_only
Remote text is plain display metadata only. It must never become an agent prompt, execution policy, OAuth grant, or executable instruction.