Use Nanonets from Claude Code
Bring Nanonets 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 Nanonets never means pasting credentials into a prompt.
Bring Nanonets 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.
Nanonets provides an AI-driven Intelligent Document Processing API that transforms unstructured documents into structured data, enabling efficient data extraction and workflow automation.
Connect Nanonets once, then decide which teammates can use it for threads, automations, skills, and coding work.
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.
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.
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.
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 labels with extracted text, confidence scores, and bounding box coordinates for each processed file.
Tool to retrieve details of an OCR model. Use when you need full metadata of a model by its ID.
Nanonets provides intelligent document processing APIs for extracting structured data from unstructured documents. Integrations can upload files, run OCR/extraction models, classify documents, retrieve parsed fields, automate approvals, and connect invoices, receipts, forms, IDs, and enterprise document workflows.
Yes. Type lets an AI teammate use connected Nanonets 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 Nanonets 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.
Perplexity AI provides conversational AI models for generating human-like text responses
SerpApi provides a real-time API for structured search engine results, allowing developers to scrape, parse, and analyze SERP data for SEO and research
Firecrawl automates web crawling and data extraction, enabling organizations to gather content, index sites, and gain insights from online sources at scale
Tavily offers search and data retrieval solutions, helping teams quickly locate and filter relevant information from documents, databases, or web sources