Integration
Connect Frame.io to Nano Nets
When Comment Completed fires in Frame.io, your agent runs Extract data from file in Nano Nets. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Frame.io and Nano Nets to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Frame.io can start in Nano Nets
When Comment Completed in Frame.io
then Extract data from file in Nano Nets
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Frame.io and Nano Nets
Triggers and actions 9 triggers · 23 actions
- Comment Completed
Triggers when a comment is marked as completed. Shows live data from your projects.
- Comment Created
Triggers when a new comment is created.
- Comment Updated
Triggers when a comment is updated.
- File Created
Triggers when a file is first created, but before it is uploaded and processed.
- File Deleted
Triggers when a file is deleted. Note: Only deletion metadata is available, not the original file content.
- File Ready
Triggers when a newly uploaded file has been fully processed and is available for preview, comments, sharing, and downloads.
- File Upload Completed
Triggers when a file has been fully uploaded to Frame.io and is ready for processing.
- Metadata Value Updated
Triggers when a metadata value is updated. Shows live data from your projects. Prioritizes Status field changes (Approved, In Review, etc.) for workflow automation.
- Project Created
Triggers when a new project is created. Shows live data from your workspace.
- Create Comment
Creates a new comment on a file.
- Create Folder
Creates a new folder within a project.
- Create Project
Creates a new project within a workspace.
- Create Share
Creates a new share.
- Create Version Stack
Create a new version stack to group related asset versions together.
- Create Workspace
Creates a new workspace within an account.
- Custom API Request (SDK)
Make a custom request to the Frame.io v4 API using the official SDK with guided method selection.
- Delete File
deletes a file, firing the file.deleted webhook.
- Show Project Details
Get detailed information about a specific project.
- Show Share
Returns one share by id.
- Show Workspace
Returns a single workspace's details.
- Update Comment
Updates an existing comment with new text, annotation, or completion status.
- Update File Metadata
sets metadata field values (field_definition_id + value) on one or more file_ids; fires metadata.value.updated.
- Update Project
Updates an existing project name, status, or access restrictions.
- Upload File From URL
Upload a file to Frame.io from a remote URL (like Google Drive, AWS S3, etc.)
- Add training images
Uploads training images to a Nanonets OCR model from public image URLs, along with their labelled field annotations, and returns the model's updated state.
- Extract data from file
Uploads a document to a Nanonets OCR model and returns the extracted fields and tables for each page. Best for files of three pages or fewer.
- Extract data from file asynchronously
Uploads a document to a Nanonets OCR model for background processing and returns the file's request ID; the extracted data is fetched later once processing completes.
- Extract data from file URL
Extracts data from a publicly hosted document or image using your Nanonets OCR model and returns the predicted fields and tables.
- Extract data from file URL asynchronously
Submits a publicly hosted file to a Nanonets OCR model for asynchronous processing and returns the queued file's ids; fetch the extracted data later with Get prediction file.
- Get Model
Returns a Nanonets OCR model's details: its type, training state and the fields (categories) it extracts.
- Get prediction file
Returns the prediction results for one processed file, including the model's initial predictions, any review changes, and approval status.
- List prediction files
Returns the prediction results for every file uploaded to an OCR model within a date range, split into approved and not-yet-approved pages.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Frame.io and Nano Nets, answered
What can start an automation from Frame.io?
Any of Frame.io's 9 triggers in the catalog, including Comment Completed, Comment Created, Comment Updated and File Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Nano Nets when something happens in Frame.io?
Any of Nano Nets's 8 actions, including Add training images, Extract data from file, Extract data from file asynchronously and Extract data from file URL. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Nano Nets to Frame.io?
Nano Nets has no triggers in the catalog today, so automations start in Frame.io. If you need the other direction, ask: your agent reads Nano Nets's API documentation and adds it.
Do I have to build a connector for Frame.io or Nano Nets?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Frame.io and Nano Nets without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.