--- title: "Connect incident.io to Nano Nets - APIANT.ai" description: "When \"New Incident\" fires in incident.io, your agent runs \"Extract data from file\" in Nano Nets." canonical: "https://apiant.ai/connect/incident-io-to-nano-nets" --- # Connect incident.io to Nano Nets When **New Incident** fires in [incident.io](https://apiant.ai/connections/incident-io), your agent runs **Extract data from file** in [Nano Nets](https://apiant.ai/connections/nano-nets). Describe the whole flow and it is built, tested on every scenario and kept running. incident.io **1** trigger incident.io **10** actions Nano Nets **8** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want incident.io and Nano Nets to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What incident.io can start in Nano Nets - When **New Incident** in incident.io then **Extract data from file** in Nano Nets - When **New Incident** in incident.io then **Extract data from file asynchronously** 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 incident.io and Nano Nets ## Triggers and actions 1 trigger · 18 actions - Trigger **New Incident** Triggers when a new incident is declared in incident.io, optionally limited to a status, severity, incident type or mode. - Action **Add follow-up** Creates a follow-up on an incident, with an optional description, assignee, team, category, priority and labels. - Action **Add incident update** Shares an update on an incident: a message, a move to a new status, a new severity, or any combination. - Action **Create Incident** Creates a new incident in incident.io, optionally setting its severity, type, status, roles, timestamps and custom fields. - Action **Find Users On-Call** Finds the users on-call for a schedule over a window of time (or right now), returning each effective shift with its user after overrides are applied. - Action **Get incident** Returns a single incident, including its status, severity, role assignments, timestamps and custom field values. - Action **Get Schedule** Returns a single on-call schedule, including its rotations, time zone and current shifts. - Action **List actions** Returns the actions recorded on incidents in your incident.io organisation, optionally filtered by incident, incident mode, or created/updated date. - Action **List schedules** Returns every on-call schedule configured in your incident.io account, including its rotations and who is currently on shift. - Action **List severities** Returns every incident severity configured for your incident.io organisation. - Action **List users** Returns the users in your incident.io account, optionally filtered by email address or Slack user ID. - Action **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. - Action **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. - Action **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. - Action **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. - Action **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. - Action **Get Model** Returns a Nanonets OCR model's details: its type, training state and the fields (categories) it extracts. - Action **Get prediction file** Returns the prediction results for one processed file, including the model's initial predictions, any review changes, and approval status. - Action **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. ## Each app on its own - [ **incident.io** incident.io is an incident management platform, designed for your entire organisation.](https://apiant.ai/connections/incident-io) - [ **Nano Nets** AI platform for extracting data from documents and automating workflows like invoice and claims processing.](https://apiant.ai/connections/nano-nets) Reviews ## What our customers say ## More from incident.io - [ **incident.io to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/incident-io-to-salesforce) - [ **incident.io to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/incident-io-to-slack) - [ **incident.io to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/incident-io-to-mailchimp) - [ **incident.io to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/incident-io-to-stripe) - [ **incident.io to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/incident-io-to-shopify) - [ **incident.io to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/incident-io-to-quickbooks-online) ## More into Nano Nets - [ **HubSpot to Nano Nets** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-nano-nets) - [ **Salesforce to Nano Nets** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-nano-nets) - [ **Slack to Nano Nets** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-nano-nets) - [ **Google Sheets to Nano Nets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-nano-nets) - [ **Gmail to Nano Nets** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-nano-nets) - [ **Google Calendar to Nano Nets** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-nano-nets) Questions ## incident.io and Nano Nets, answered ### ### What can start an automation from incident.io? Any of incident.io's 1 trigger in the catalog, including New Incident. 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 incident.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 incident.io? Nano Nets has no triggers in the catalog today, so automations start in incident.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 incident.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 incident.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.