Integration
Connect Openlayer to Parallel Web Systems
When something happens in Openlayer, your agent does the next thing in Parallel Web Systems. 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 Parallel Web Systems 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 Parallel Web Systems
When New Project in Openlayer
then Add FindAll run in Parallel Web Systems
When New Test Result in Openlayer
then Fetch Results for Async Runs in Parallel Web Systems
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 Parallel Web Systems
Triggers and actions 2 triggers · 35 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
Add FindAll runStarts a Parallel FindAll run that searches the web for every entity matching your objective and match conditions. The run starts queued; retrieve its status and results with the FindAll run id it returns.
Action
Add monitorCreates a Parallel monitor that watches a web search query, or the output of an existing task run, for material changes on a schedule. The monitor runs once right away and then on the chosen frequency.
Action
Cancel monitorPermanently stops a monitor from running. Cancellation cannot be undone; cancelling an already-cancelled monitor changes nothing.
Action
Create Async Web EnrichmentStarts an asynchronous web research/enrichment task run in Parallel. Returns immediately with the run in status 'queued'; fetch the result later with the run id.
Action
Extract web contentExtracts relevant excerpts (and optionally full content) as markdown from up to 20 web URLs.
Action
Fetch Results for Async RunsRetrieves the result of a Parallel task run (created asynchronously) by its run ID, waiting until the run completes or the timeout elapses.
Action
Find entities by objectiveReturns up to the chosen number of people or companies, ranked, that match a natural-language description of the entities you want.
Action
Get FindAll runRetrieve a FindAll run's status, candidate metrics, generator and metadata.
Action
Get FindAll run resultRetrieve a snapshot of a FindAll run's result: run status and metrics plus every candidate evaluated so far with its match status, output and citations.
Action
Get monitorRetrieves a monitor by its ID, including its type, status, frequency, query settings, webhook configuration and, for snapshot monitors, the latest output.
Action
List monitorsList monitors in the Parallel account, newest first, optionally filtered by type and status.
Action
Search webSearches the web with Parallel and returns ranked results with relevant excerpts.
Action
Update monitorUpdates an existing Parallel monitor's frequency, processor, webhook, metadata, query or source settings. Only the fields you fill in are changed.
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 Parallel Web Systems, 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 Parallel Web Systems when something happens in Openlayer?
Any of Parallel Web Systems's 13 actions, including Create Async Web Enrichment, Update monitor, Add FindAll run and Add monitor. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Parallel Web Systems to Openlayer?
Parallel Web Systems has no triggers in the catalog today, so automations start in Openlayer. If you need the other direction, ask: your agent reads Parallel Web Systems's API documentation and adds it.
Do I have to build a connector for Openlayer or Parallel Web Systems?
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.