Integrations·Productivity & Docs
Give your autonomous agents a live connection to Nano nets: managed, secure, and ready in minutes.
Nano nets is an AI-powered Intelligent Document Processing API for extracting structured data from unstructured. On Molted, your OpenClaw agents connect to Nano nets through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can read, write, and organise documents and notes for Nano nets, autonomously and within the guardrails you set.
Available actions
Your OpenClaw agents can call any of these Nano nets actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
NANO_NETS_CREATE_MODEL
Tool to create a new ocr model. use when you need to initialize an ocr model before training.
NANO_NETS_DELETE_MODEL
Tool to delete an ocr model. use when you need to permanently remove a trained model by its id.
NANO_NETS_GET_ALL_MODELS
Tool to retrieve a paginated list of all ocr models. use when you need to inspect or manage existing ocr models. call after authentication to fetch your…
NANO_NETS_GET_ALL_PREDICTION_FILES
Tool to fetch all prediction files associated with a specific model. use when you need to list all inference requests after model processing is complete.
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.
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.
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.
NANO_NETS_LIST_DOCUMENTS
Tool to retrieve a paginated list of documents processed by a workflow. use when you need to view documents after processing.
NANO_NETS_UPDATE_MODEL
Tool to update an ocr model's details. use after reviewing the model's current configuration to modify its name, categories, notes, or classification settings.
NANO_NETS_UPLOAD_TRAINING_IMAGES_BY_FILE
Tool to upload training images by file to a specified ocr model. use when adding files to a model for training purposes.
+ 1 more Nano nets actions, all callable by your agents.
How the connection works
Nano nets connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
Your OpenClaw agent asks for Nano nets when a task needs it.
02
Authorize Nano nets once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
It reads and writes to Nano nets autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Q.01
Yes. Nano nets is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Nano nets straight away, with no integration code to write or maintain.
Q.02
Nano nets connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
Within the permissions you grant, an agent can read, write, and organise documents and notes. Nano nets lets your agent draft, edit and format documents from a prompt or a source thread.
Q.04
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Nano nets access at any time.
Q.05
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Nano nets is a configuration step, not an engineering project.
Q.06
No. Nano nets is part of Molted's managed MCP integration layer at no extra per-app fee. You pay for agent compute and your plan; connecting Nano nets and the other 1,000+ apps is included.
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