--- title: "Connect Coresignal to TensorFeed - APIANT.ai" description: "When \"Employee profile updated\" fires in Coresignal, your agent runs \"Buy credits\" in TensorFeed." canonical: "https://apiant.ai/connect/coresignal-to-tensorfeed" --- # Connect Coresignal to TensorFeed When **Employee profile updated** fires in [Coresignal](https://apiant.ai/connections/coresignal), your agent runs **Buy credits** in [TensorFeed](https://apiant.ai/connections/tensorfeed). Describe the whole flow and it is built, tested on every scenario and kept running. Coresignal **1** trigger Coresignal **8** actions TensorFeed **27** 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 TensorFeed 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 TensorFeed - When **Employee profile updated** in Coresignal then **Buy credits** in TensorFeed - When **Employee profile updated** in Coresignal then **Find AI news** in TensorFeed 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 TensorFeed ## Triggers and actions 1 trigger · 35 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 **Buy credits** Initiate a credit purchase against a sender wallet. - Action **Find AI news** Full-text search across the AI news archive. - Action **Get AFTA adopter directory** Fetch the machine-readable AFTA adopter directory. - Action **Get AI agent directory** Fetch a curated directory of AI agents and frameworks. - Action **Get AI benchmark scores** Fetch public benchmark scores for major AI models. - Action **Get AI ecosystem daily brief** Fetch a composite daily brief covering the AI ecosystem. - Action **Get AI model pricing and specs** Fetch pricing and specs for AI models. - Action **Get AI news** Fetch aggregated AI news articles. - Action **Get AI podcast episodes** Fetch recent AI podcast episodes. - Action **Get AI service status** Fetch operational status for major AI services. - Action **Get benchmark trust verdict** Fetch a trust band and score for an AI benchmark. - Action **Get cheapest GPU offer** Fetch the cheapest current offer for a canonical GPU. - Action **Get cross-provider model catalog** Fetch a cross-provider AI model catalog snapshot from OpenRouter. - Action **Get failover verdict** Fetch the best operational failover target when a provider degrades. - Action **Get GPU rental pricing** Fetch current GPU rental pricing snapshot. - Action **Get HF daily papers** Fetch Hugging Face Daily Papers with community signal. - Action **Get historical snapshot** Fetch one historical daily snapshot by date and type. - Action **Get hot AI GitHub issues** Fetch currently-hot GitHub issues across AI repos. - Action **Get LLM endpoint latency probes** Fetch the last 24 hours of LLM endpoint latency probes. - Action **Get MCP server registry snapshot** Fetch a daily summary of the MCP server registry. - Action **Get model deprecation calendar** Fetch the AI model deprecation calendar. - Action **Get recent arXiv papers** Fetch the most recent AI/ML arXiv submissions. - Action **Get stack safety verdict** Fetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package. - Action **Get trending AI GitHub repos** Fetch trending GitHub repositories in AI. - Action **Get trending AI papers** Fetch daily citation-ranked AI/ML papers from Semantic Scholar. - Action **Get trending Hugging Face models** Fetch top trending Hugging Face models, datasets, and Spaces. - Action **Get trending Reddit AI threads** Fetch currently-hot AI discussion threads on Reddit. ## 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) - [ **TensorFeed** TensorFeed aggregates real-time information about the AI industry.](https://apiant.ai/connections/tensorfeed) 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 TensorFeed - [ **HubSpot to TensorFeed** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-tensorfeed) - [ **Salesforce to TensorFeed** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-tensorfeed) - [ **Slack to TensorFeed** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-tensorfeed) - [ **Google Sheets to TensorFeed** Google Sheets](https://apiant.ai/connect/google-sheets-to-tensorfeed) - [ **Gmail to TensorFeed** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-tensorfeed) - [ **Google Calendar to TensorFeed** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-tensorfeed) Questions ## Coresignal and TensorFeed, 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 TensorFeed when something happens in Coresignal? Any of TensorFeed's 27 actions, including Buy credits, Find AI news, Get AFTA adopter directory and Get AI agent directory. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from TensorFeed to Coresignal? TensorFeed has no triggers in the catalog today, so automations start in Coresignal. If you need the other direction, ask: your agent reads TensorFeed's API documentation and adds it. ### ### Do I have to build a connector for Coresignal or TensorFeed? 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 TensorFeed 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.