Integration
Connect Openlayer to Spike.sh
When something happens in Openlayer, your agent does the next thing in Spike.sh. Describe it 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 Spike.sh to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Spike.sh
When New Project in Openlayer
then Add alert rule in Spike.sh
When New Test Result in Openlayer
then Add escalation in Spike.sh
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 Spike.sh
Triggers and actions 2 triggers · 47 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).
Action
Acknowledge incidentAcknowledge one or more Spike.sh incidents by counter id or incident id.
Action
Add alert ruleCreate a new alert routing/automation rule with conditions and actions.
Action
Add escalationCreates a new escalation policy for a Spike.sh team, defining who is notified, through which channel, and how long to wait between steps.
Action
Add integrationCreate a new integration for a team (source system that sends alerts into Spike).
Action
Add on-callCreate a new on-call schedule for a team.
Action
Add serviceCreate a new service in a team, with name and description.
Action
Create IncidentCreates a Spike incident through one of your integrations and sends alerts. The integration decides which service and escalation policy the incident is routed to.
Action
Delete alert ruleArchives (soft-deletes) a Spike alert rule so it no longer applies to incoming incidents.
Action
Delete escalationArchives (soft-deletes) a Spike escalation policy by its ID.
Action
Escalate incidentEscalates one or more Spike incidents to the next step of their escalation policy.
Action
Get escalationGet escalation policy details by id.
Action
Get incidentFetch a single incident by counter id.
Action
Get integrationFetches an integration by its token, including its name, type, service, escalation settings and webhook URL. An error occurs if the integration is not found.
Action
Get serviceGet a Spike service's details, along with its incidents and open-incident count.
Action
List alert rulesLists all alert rules (enabled and disabled) configured for a Spike team.
Action
List escalationsLists the escalation policies that belong to a Spike team.
Action
List incidentsLists the incidents for a Spike.sh team.
Action
List on-callsLists the on-call schedules for a team.
Action
List servicesLists the services in a Spike team.
Action
List teamsLists every team in your Spike organisation. Use a team's ID from here wherever other Spike actions ask for a team.
Action
Resolve incidentResolve one or more incidents by counter id array.
Action
Update alert ruleReplace an existing Spike alert rule's name, conditions and actions.
Action
Update escalationReplaces an existing escalation policy's name, steps and start delay. The whole policy is replaced, so send every step you want to keep.
Action
Update on-callUpdates an on-call schedule's name and/or moves it to another team. Rotations and layers are not changed by this action.
Action
Update serviceUpdates the name and/or description of an existing Spike.sh service.
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
Openlayer and Spike.sh, 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 Spike.sh when something happens in Openlayer?
Any of Spike.sh's 25 actions, including Create Incident, Update alert rule, Update escalation and Update on-call. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Spike.sh to Openlayer?
Spike.sh has no triggers in the catalog today, so automations start in Openlayer. If you need the other direction, ask: your agent reads Spike.sh's API documentation and adds it.
Do I have to build a connector for Openlayer or Spike.sh?
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.
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.