---
title: "Connect Openlayer to Parallel Web Systems - APIANT.ai"
description: "When \"New Project\" fires in Openlayer, your agent runs \"Add FindAll run\" in Parallel Web Systems."
canonical: "https://apiant.ai/connect/openlayer-to-parallel-web-systems"
---

# Connect Openlayer to Parallel Web Systems

When **New Project** fires in [Openlayer](https://apiant.ai/connections/openlayer), your agent runs **Add FindAll run** in [Parallel Web Systems](https://apiant.ai/connections/parallel-web-systems). Describe the whole flow and it is built, tested on every scenario and kept running.

Openlayer **2** triggers Openlayer **22** actions Parallel Web Systems **13** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Openlayer and Parallel Web Systems to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

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 Project**

Triggers when a new project is created in your Openlayer workspace.

- Trigger

**New Test Result**

Triggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests.

- Action

**Create Data Source**

Creates a new data source in a project for streaming production data to Openlayer.

- Action

**Create Project**

Creates a new AI or ML project in your Openlayer workspace.

- Action

**Create Test**

Creates a data quality test in a project. Checks for duplicate rows, null values, or row counts.

- Action

**Delete Inference Pipeline**

Delete an inference pipeline by its ID.

- Action

**Delete Project**

Delete a project by its ID.

- Action

**Delete Test**

Delete a test by its ID.

- Action

**Evaluate Test**

Evaluates a test for a specific time range. Use after publishing records to get immediate results.

- Action

**Find Data Source**

Finds a data source (inference pipeline) by name in a project.

- Action

**Find Project**

Finds a project by name in your Openlayer workspace.

- Action

**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.

- Action

**Get Inference Pipeline**

Retrieve the details around a specific inference pipeline.

- Action

**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.

- Action

**Get Test**

Retrieve a test by ID.

- Action

**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.

- Action

**List Inference Pipelines**

List the authenticated user's inference pipelines under a project.

- Action

**List Projects**

Lists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects.

- Action

**List Test Results**

List all results for a test/goal under an inference pipeline.

- Action

**List Tests**

Lists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests.

- Action

**Publish Record**

Publishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer.

- Action

**Update Inference Pipeline**

Update an inference pipeline.

- Action

**Update Project**

Update a project.

- Action

**Update Test**

Update a test (partial updates allowed).

- Action

**Add FindAll run**

Starts 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 monitor**

Creates 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 monitor**

Permanently stops a monitor from running. Cancellation cannot be undone; cancelling an already-cancelled monitor changes nothing.

- Action

**Create Async Web Enrichment**

Starts 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 content**

Extracts relevant excerpts (and optionally full content) as markdown from up to 20 web URLs.

- Action

**Fetch Results for Async Runs**

Retrieves 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 objective**

Returns up to the chosen number of people or companies, ranked, that match a natural-language description of the entities you want.

- Action

**Get FindAll run**

Retrieve a FindAll run's status, candidate metrics, generator and metadata.

- Action

**Get FindAll run result**

Retrieve 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 monitor**

Retrieves a monitor by its ID, including its type, status, frequency, query settings, webhook configuration and, for snapshot monitors, the latest output.

- Action

**List monitors**

List monitors in the Parallel account, newest first, optionally filtered by type and status.

- Action

**Search web**

Searches the web with Parallel and returns ranked results with relevant excerpts.

- Action

**Update monitor**

Updates an existing Parallel monitor's frequency, processor, webhook, metadata, query or source settings. Only the fields you fill in are changed.

## Each app on its own

- [ **Openlayer** Openlayer is a platform for monitoring, evaluating, and testing AI and ML models in production.](https://apiant.ai/connections/openlayer)
- [ **Parallel Web Systems** Parallel Web Systems is a web search platform that enables AI agents to find, extract, and enrich...](https://apiant.ai/connections/parallel-web-systems)

Reviews

## What our customers say

## More from Openlayer

- [ **Openlayer to Astroworld** Astroworld serves reference data about the game Minecraft.](https://apiant.ai/connect/openlayer-to-astroworld)
- [ **Openlayer to Byabbe** Seach histories from wikipedia for a particular day](https://apiant.ai/connect/openlayer-to-byabbe)
- [ **Openlayer to Cliniko** Cliniko is a practice management platform — manage patients, appointments, invoices, contacts, and...](https://apiant.ai/connect/openlayer-to-cliniko)
- [ **Openlayer to Enrich CRM** Enrich CRM helps you perform real-time contact and company enrichment.](https://apiant.ai/connect/openlayer-to-enrich-crm)
- [ **Openlayer to Evervault** Evervault provides secure encryption infrastructure for developers.](https://apiant.ai/connect/openlayer-to-evervault)
- [ **Openlayer to Postman** Postman is a platform for building and testing APIs.](https://apiant.ai/connect/openlayer-to-postman)

## More into Parallel Web Systems

- [ **Salesforce to Parallel Web Systems** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-parallel-web-systems)
- [ **monday.com to Parallel Web Systems** monday.com helps you move projects forward fast, letting everyone know what's been done on a task—and what...](https://apiant.ai/connect/monday-com-to-parallel-web-systems)
- [ **HubSpot to Parallel Web Systems** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-parallel-web-systems)
- [ **Slack to Parallel Web Systems** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-parallel-web-systems)
- [ **Google Sheets to Parallel Web Systems** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-parallel-web-systems)
- [ **Gmail to Parallel Web Systems** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-parallel-web-systems)

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.

###

### Can my AI client use Openlayer and Parallel Web Systems 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.
