Integration
Connect Docparser and Openlayer
When Parsed Document Data Available fires in Docparser, your agent runs Create Data Source in Openlayer, or New Project in Openlayer to Upload Document in Docparser. 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 Docparser and Openlayer 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 Docparser and Openlayer can do together
From Docparser to Openlayer
When Parsed Document Data Available in Docparser
then Create Data Source in Openlayer
When Parsed Table Row Available in Docparser
then Publish Record in Openlayer
From Openlayer to Docparser
When New Project in Openlayer
then Upload Document in Docparser
When New Test Result in Openlayer
then Fetch Document From URL in Docparser
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 Docparser and Openlayer
Triggers and actions 4 triggers · 24 actions
Trigger
Parsed Document Data AvailableTriggers whenever a new Document is processed and parsed data is available.
Trigger
Parsed Table Row AvailableTriggers whenever a new Document is processed and parsed table rows are available.
Action
Fetch Document From URLFetches a new document from a publicly accessible URL and imports it into Docparser to begin parsing. (To receive the parsing results, you'll need a separate Zap listening for the "New Parsed Data Available" Trigger).
Action
Upload DocumentUploads a new document to Docparser which will immediately begin parsing after reception. (To receive the parsing results, you'll need a separate Zap listening for the "New Parsed Data Available" Trigger).
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).
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
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Questions
Docparser and Openlayer, answered
What can start an automation from Docparser?
Any of Docparser's 2 triggers in the catalog, including Parsed Document Data Available and Parsed Table Row Available. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Openlayer when something happens in Docparser?
Any of Openlayer's 22 actions, including Create Data Source, Create Project, Create Test and Update Inference Pipeline. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Openlayer to Docparser?
Yes. When something happens in Openlayer, your agent can act in Docparser too. This page covers both directions: Openlayer's triggers and Docparser's actions are listed here as well.
Do I have to build a connector for Docparser or Openlayer?
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 Docparser and Openlayer 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.