Integration
Connect Openlayer and Wonderchat
When New Project fires in Openlayer, your agent runs Update Message Feedback in Wonderchat, or New Chatlog in Wonderchat to Publish Record in Openlayer. 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 Wonderchat 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 and Wonderchat can do together
From Openlayer to Wonderchat
When New Project in Openlayer
then Update Message Feedback in Wonderchat
When New Test Result in Openlayer
then Get Messages in Wonderchat
From Wonderchat to Openlayer
When New Chatlog in Wonderchat
then Publish Record in Openlayer
When New Chatlog in Wonderchat
then Create Project in Openlayer
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 Wonderchat
Triggers and actions 3 triggers · 32 actions
Trigger
New ProjectTriggers when a new project is created in your Openlayer workspace.
Trigger
New Test ResultTriggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests.
Action
Create Data SourceCreates a new data source in a project for streaming production data to Openlayer.
Action
Create ProjectCreates a new AI or ML project in your Openlayer workspace.
Action
Create TestCreates a data quality test in a project. Checks for duplicate rows, null values, or row counts.
Action
Delete Inference PipelineDelete an inference pipeline by its ID.
Action
Delete ProjectDelete a project by its ID.
Action
Delete TestDelete a test by its ID.
Action
Evaluate TestEvaluates a test for a specific time range. Use after publishing records to get immediate results.
Action
Find Data SourceFinds a data source (inference pipeline) by name in a project.
Action
Find ProjectFinds a project by name in your Openlayer workspace.
Action
Find Test ResultFinds 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 PipelineRetrieve the details around a specific inference pipeline.
Action
Get ProjectRetrieves 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 TestRetrieve a test by ID.
Action
Get Test ResultRetrieves 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 PipelinesList the authenticated user's inference pipelines under a project.
Action
List ProjectsLists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects.
Action
List Test ResultsList all results for a test/goal under an inference pipeline.
Action
List TestsLists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests.
Action
Publish RecordPublishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer.
Action
Update Inference PipelineUpdate an inference pipeline.
Action
Update ProjectUpdate a project.
Action
Update TestUpdate a test (partial updates allowed).
Trigger
New ChatlogTriggers when a new conversation (chatlog) starts on a Wonderchat chatbot.
Action
Add PagesAdds web pages to a Wonderchat chatbot's knowledge base.
Action
Add Tags to ChatlogAdds one or more tags to a Wonderchat chatlog.
Action
Ask QuestionAsks a Wonderchat chatbot a question and returns its answer, the conversation ID and the sources it used.
Action
Delete PagesRemoves web pages from a Wonderchat chatbot's knowledge base.
Action
Delete Tags from ChatlogRemoves one or more tags from a Wonderchat chatlog.
Action
Get MessagesReturns every message in a Wonderchat chatlog, user and bot, with timestamps.
Action
List ChatlogsReturns Wonderchat chatlogs, newest first, with contact details and message transcripts.
Action
Update Chat FeedbackSets a Wonderchat chatlog's feedback to Good or Bad.
Action
Update Chatlog InfoSets contact and lead details (name, email, phone, your own user ID) on a Wonderchat chatlog; fields left blank are not changed.
Action
Update Message FeedbackMarks a single Wonderchat bot message as helpful or not helpful, with an optional comment.
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 Wonderchat, 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 Wonderchat when something happens in Openlayer?
Any of Wonderchat's 10 actions, including Update Chat Feedback, Update Chatlog Info, Update Message Feedback and Add Pages. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wonderchat to Openlayer?
Yes. When something happens in Wonderchat, your agent can act in Openlayer too. This page covers both directions: Wonderchat's triggers and Openlayer's actions are listed here as well.
Do I have to build a connector for Openlayer or Wonderchat?
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 Wonderchat 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.