---
title: "Connect Openlayer to TensorFeed - APIANT.ai"
description: "When \"New Project\" fires in Openlayer, your agent runs \"Buy credits\" in TensorFeed."
canonical: "https://apiant.ai/connect/openlayer-to-tensorfeed"
---

# Connect Openlayer to TensorFeed

When **New Project** fires in [Openlayer](https://apiant.ai/connections/openlayer), 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.

Openlayer **2** triggers Openlayer **22** 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 Openlayer 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 Openlayer can start in TensorFeed

- When **New Project** in Openlayer then **Buy credits** in TensorFeed
- When **New Test Result** in Openlayer 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 Openlayer and TensorFeed

## Triggers and actions 2 triggers · 49 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

**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

- [ **Openlayer** Openlayer is a platform for monitoring, evaluating, and testing AI and ML models in production.](https://apiant.ai/connections/openlayer)
- [ **TensorFeed** TensorFeed aggregates real-time information about the AI industry.](https://apiant.ai/connections/tensorfeed)

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 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 is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](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

## Openlayer and TensorFeed, 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 TensorFeed when something happens in Openlayer?

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 Openlayer?

TensorFeed has no triggers in the catalog today, so automations start in Openlayer. 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 Openlayer 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 Openlayer 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.
