Integration
Connect Openlayer to Attentive
When New Project fires in Openlayer, your agent runs Custom Events in Attentive. 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 Openlayer and Attentive 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 Openlayer can start in Attentive
When New Project in Openlayer
then Custom Events in Attentive
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 Attentive
Triggers and actions 2 triggers · 35 actions
- New Project
Triggers when a new project is created in your Openlayer workspace.
- New Test Result
Triggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests.
- Create Data Source
Creates a new data source in a project for streaming production data to Openlayer.
- Create Project
Creates a new AI or ML project in your Openlayer workspace.
- Create Test
Creates a data quality test in a project. Checks for duplicate rows, null values, or row counts.
- Delete Inference Pipeline
Delete an inference pipeline by its ID.
- Delete Project
Delete a project by its ID.
- Delete Test
Delete a test by its ID.
- Evaluate Test
Evaluates a test for a specific time range. Use after publishing records to get immediate results.
- Find Data Source
Finds a data source (inference pipeline) by name in a project.
- Find Project
Finds a project by name in your Openlayer workspace.
- 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.
- Get Inference Pipeline
Retrieve the details around a specific inference pipeline.
- 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.
- Get Test
Retrieve a test by ID.
- 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.
- List Inference Pipelines
List the authenticated user's inference pipelines under a project.
- List Projects
Lists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects.
- List Test Results
List all results for a test/goal under an inference pipeline.
- List Tests
Lists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests.
- Publish Record
Publishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer.
- Update Inference Pipeline
Update an inference pipeline.
- Update Project
Update a project.
- Update Test
Update a test (partial updates allowed).
- Add to Cart
Records that a shopper added a product to their cart in Attentive, so cart-abandonment journeys can fire.
- Custom Attributes
Sets custom attributes (such as age, birthday or favorite team) on an Attentive user identified by phone, email, or external identifier.
- Custom Events
Sends a custom event (such as "Order Shipped") for a user to Attentive, which can trigger Journeys.
- Delete Request
Creates a privacy (CCPA) deletion request that deletes a subscriber within thirty days, identified by email, phone or client user id.
- Get Custom Attributes for a User
Returns all custom attributes (name and value) stored on an Attentive user, looked up by phone number or email.
- Get Subscription Eligibility for a User
Returns the subscription types and channels (SMS or email) a subscriber is eligible to receive messages on, looked up by phone number or email.
- Identity
Associates a client user identifier or custom identifiers with an Attentive subscriber identified by phone, email, Shopify ID or Klaviyo ID.
- Lookup Product Catalog Ingestion
Returns the status, validation errors and product counts of a product catalog upload.
- Product View
Records that a shopper viewed one or more products in Attentive, so product-view journeys can fire.
- Purchase
Records a purchase (order) event for a shopper in Attentive so it can trigger purchase-based journeys.
- Subscribe User
Opts a person in to Attentive text or email subscriptions by phone or email, using a sign-up unit or a locale and subscription type.
- Unsubscribe Subscriptions for a User
Unsubscribes a user (by phone or email) from specific Attentive subscription types and channels, or from all subscriptions when none are given.
- View Recent Catalog Uploads
Returns your recent product catalog uploads with their ingestion status, product counts and validation errors, newest first.
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
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Questions
Openlayer and Attentive, 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 Attentive when something happens in Openlayer?
Any of Attentive's 13 actions, including Add to Cart, Custom Attributes, Custom Events and Get Custom Attributes for a User. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Attentive to Openlayer?
Attentive has no triggers in the catalog today, so automations start in Openlayer. If you need the other direction, ask: your agent reads Attentive's API documentation and adds it.
Do I have to build a connector for Openlayer or Attentive?
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 Attentive 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.