---
title: "Connect Coresignal to AI Model Watch - APIANT.ai"
description: "When \"Employee profile updated\" fires in Coresignal, your agent runs \"List deprecations\" in AI Model Watch."
canonical: "https://apiant.ai/connect/coresignal-to-ai-model-watch"
---

# Connect Coresignal to AI Model Watch

When **Employee profile updated** fires in [Coresignal](https://apiant.ai/connections/coresignal), your agent runs **List deprecations** in [AI Model Watch](https://apiant.ai/connections/ai-model-watch). Describe the whole flow and it is built, tested on every scenario and kept running.

Coresignal **1** trigger Coresignal **8** actions AI Model Watch **2** actions

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

## What do you want Coresignal and AI Model Watch 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 Coresignal can start in AI Model Watch

- When **Employee profile updated** in Coresignal then **List deprecations** in AI Model Watch
- When **Employee profile updated** in Coresignal then **List models** in AI Model Watch

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 Coresignal and AI Model Watch

## Triggers and actions 1 trigger · 10 actions

- Trigger

**Employee profile updated**

Fires when Coresignal reports a change on one of the subscribed employee profiles (checked daily).

- Action

**Enrich company**

Enrich a company from a website or profile URL.

- Action

**Find companies**

Search companies with Elasticsearch DSL, returns matching IDs.

- Action

**Find employees**

Search employees with Elasticsearch DSL.

- Action

**Find jobs**

Search job postings with Elasticsearch DSL.

- Action

**Get company**

Retrieve a multi-source company record by ID.

- Action

**Get employee**

Retrieve a multi-source employee record by ID or shorthand name.

- Action

**Get job**

Retrieve a multi-source job posting by ID.

- Action

**Simulate subscription webhook**

Asks Coresignal to send a sample subscription notification to a webhook URL.

- Action

**List deprecations**

Returns the deprecation and retirement timeline for AI models.

- Action

**List models**

Returns the full AI model catalog.

## Each app on its own

- [ **Coresignal** Coresignal is a data provider offering multi-source B2B data on companies, professionals, and jobs.](https://apiant.ai/connections/coresignal)
- [ **AI Model Watch** Daily-updated prices, context windows & deprecation/EOL dates for 190+ AI/LLM models, sourced from official...](https://apiant.ai/connections/ai-model-watch)

Reviews

## What our customers say

## More from Coresignal

- [ **Coresignal to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/coresignal-to-hubspot)
- [ **Coresignal to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/coresignal-to-salesforce)
- [ **Coresignal to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/coresignal-to-slack)
- [ **Coresignal to Google Sheets** Google Sheets](https://apiant.ai/connect/coresignal-to-google-sheets)
- [ **Coresignal to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/coresignal-to-gmail)
- [ **Coresignal to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/coresignal-to-google-calendar)

## More into AI Model Watch

- [ **Ontraport to AI Model Watch** Ontraport is an all-in-one CRM, marketing automation, and e-commerce platform.](https://apiant.ai/connect/ontraport-to-ai-model-watch)
- [ **HubSpot to AI Model Watch** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-ai-model-watch)
- [ **Salesforce to AI Model Watch** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-ai-model-watch)
- [ **Slack to AI Model Watch** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-ai-model-watch)
- [ **Google Sheets to AI Model Watch** Google Sheets](https://apiant.ai/connect/google-sheets-to-ai-model-watch)
- [ **Gmail to AI Model Watch** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-ai-model-watch)

Questions

## Coresignal and AI Model Watch, answered

###

### What can start an automation from Coresignal?

Any of Coresignal's 1 trigger in the catalog, including Employee profile updated. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in AI Model Watch when something happens in Coresignal?

Any of AI Model Watch's 2 actions, including List deprecations and List models. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from AI Model Watch to Coresignal?

AI Model Watch has no triggers in the catalog today, so automations start in Coresignal. If you need the other direction, ask: your agent reads AI Model Watch's API documentation and adds it.

###

### Do I have to build a connector for Coresignal or AI Model Watch?

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 Coresignal and AI Model Watch 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.
