--- title: "Connect Openlayer to Digital Humani - APIANT.ai" description: "When \"New Project\" fires in Openlayer, your agent runs \"Get project\" in Digital Humani." canonical: "https://apiant.ai/connect/openlayer-to-digital-humani" --- # Connect Openlayer to Digital Humani When **New Project** fires in [Openlayer](https://apiant.ai/connections/openlayer), your agent runs **Get project** in [Digital Humani](https://apiant.ai/connections/digital-humani). Describe the whole flow and it is built, tested on every scenario and kept running. Openlayer **2** triggers Openlayer **22** actions Digital Humani **7** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Openlayer and Digital Humani 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 Openlayer can start in Digital Humani - When **New Project** in Openlayer then **Get project** in Digital Humani - When **New Test Result** in Openlayer then **Find tree count by user** in Digital Humani 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 Openlayer and Digital Humani ## Triggers and actions 2 triggers · 29 actions - Trigger **New Project** Triggers when a new project is created in your Openlayer workspace. - Trigger **New Test Result** Triggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests. - Action **Create Data Source** Creates a new data source in a project for streaming production data to Openlayer. - Action **Create Project** Creates a new AI or ML project in your Openlayer workspace. - Action **Create Test** Creates a data quality test in a project. Checks for duplicate rows, null values, or row counts. - Action **Delete Inference Pipeline** Delete an inference pipeline by its ID. - Action **Delete Project** Delete a project by its ID. - Action **Delete Test** Delete a test by its ID. - Action **Evaluate Test** Evaluates a test for a specific time range. Use after publishing records to get immediate results. - Action **Find Data Source** Finds a data source (inference pipeline) by name in a project. - Action **Find Project** Finds a project by name in your Openlayer workspace. - Action **Find Test Result** Finds test results for a data source, including whether each test passed or failed. Filter by outcome or test type to branch an automation on the result. - Action **Get Inference Pipeline** Retrieve the details around a specific inference pipeline. - Action **Get Project** Retrieves one project by its id. Openlayer has no single-project endpoint, so this reads the workspace's first 100 projects and returns the one matching the id. - Action **Get Test** Retrieve a test by ID. - Action **Get Test Result** Retrieves one test result by its id. Openlayer has no single-result endpoint, so this reads the data source's 100 most recent results and returns the matching one. - Action **List Inference Pipelines** List the authenticated user's inference pipelines under a project. - Action **List Projects** Lists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects. - Action **List Test Results** List all results for a test/goal under an inference pipeline. - Action **List Tests** Lists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests. - Action **Publish Record** Publishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer. - Action **Update Inference Pipeline** Update an inference pipeline. - Action **Update Project** Update a project. - Action **Update Test** Update a test (partial updates allowed). - Action **Find tree count by user** Retrieve the number of trees planted by a specific end user for an enterprise. - Action **Get authenticated user** Retrieve details of the currently authenticated API user. - Action **Get enterprise** Retrieve details of an enterprise by id. - Action **Get project** Retrieve details of a single reforestation project by id. - Action **Get tree planting request** Retrieve details of a single tree-planting request by its uuid. - Action **List projects** Retrieve all available reforestation projects. - Action **Plant Tree** Plants one or multiple trees ## Each app on its own - [ **Openlayer** Openlayer is a platform for monitoring, evaluating, and testing AI and ML models in production.](https://apiant.ai/connections/openlayer) - [ **Digital Humani** Digital Humani is a reforestation-as-a-service API.](https://apiant.ai/connections/digital-humani) Reviews ## What our customers say ## More from Openlayer - [ **Openlayer to Astroworld** Astroworld serves reference data about the game Minecraft.](https://apiant.ai/connect/openlayer-to-astroworld) - [ **Openlayer to Byabbe** Seach histories from wikipedia for a particular day](https://apiant.ai/connect/openlayer-to-byabbe) - [ **Openlayer to Cliniko** Cliniko is a practice management platform — manage patients, appointments, invoices, contacts, and...](https://apiant.ai/connect/openlayer-to-cliniko) - [ **Openlayer to Enrich CRM** Enrich CRM helps you perform real-time contact and company enrichment.](https://apiant.ai/connect/openlayer-to-enrich-crm) - [ **Openlayer to Evervault** Evervault provides secure encryption infrastructure for developers.](https://apiant.ai/connect/openlayer-to-evervault) - [ **Openlayer to Postman** Postman is a platform for building and testing APIs.](https://apiant.ai/connect/openlayer-to-postman) ## More into Digital Humani - [ **HubSpot to Digital Humani** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-digital-humani) - [ **Salesforce to Digital Humani** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-digital-humani) - [ **Slack to Digital Humani** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-digital-humani) - [ **Google Sheets to Digital Humani** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-digital-humani) - [ **Gmail to Digital Humani** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-digital-humani) - [ **Google Calendar to Digital Humani** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-digital-humani) Questions ## Openlayer and Digital Humani, answered ### ### What can start an automation from Openlayer? Any of Openlayer's 2 triggers in the catalog, including New Project and New Test Result. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Digital Humani when something happens in Openlayer? Any of Digital Humani's 7 actions, including Find tree count by user, Get authenticated user, Get enterprise and Get project. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Digital Humani to Openlayer? Digital Humani has no triggers in the catalog today, so automations start in Openlayer. If you need the other direction, ask: your agent reads Digital Humani's API documentation and adds it. ### ### Do I have to build a connector for Openlayer or Digital Humani? 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 Openlayer and Digital Humani 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.