Integration
Connect WorkRamp to TensorFeed
When Assignment Completed: Challenge fires in WorkRamp, your agent runs Buy credits in TensorFeed. 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 WorkRamp and TensorFeed 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 WorkRamp can start in TensorFeed
When Assignment Completed: Challenge in WorkRamp
then Buy credits 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 WorkRamp and TensorFeed
Triggers and actions 9 triggers · 38 actions
- Assignment Completed: Challenge
Triggers when a user completes the selected challenge, returning the user, completion date, grade and pass status.
- Assignment Completed: Path
Triggers when a user completes an assignment for the selected path.
- Assignment Completed: Scorm
Triggers when a user completes an assignment for the chosen SCORM course.
- Assignment Created: Challenge
Triggers when a user is newly assigned to the selected challenge.
- Assignment Created: Path
Triggers when a user is assigned to the selected WorkRamp path.
- Assignment Created: Scorm
Triggers when a user is assigned the selected SCORM course.
- Training Complete
Triggers when a contact completes a training in your Customer Learning Cloud academy.
- User Created
Triggers when a new user is created in your WorkRamp enterprise.
- User Deleted
Triggers when a user in your WorkRamp enterprise is deleted.
- Add group
Creates a new group in WorkRamp, optionally with initial member users.
- Delete contact
Deactivates (soft-deletes) a contact in a WorkRamp Customer Learning Cloud academy.
- Delete user
Deletes an existing user from your WorkRamp enterprise.
- Find User
Returns the WorkRamp users that match an email address, a name or a custom attribute value.
- Get contact
Returns a single contact from a WorkRamp Customer Learning Cloud academy, including name and email.
- List certifications
Returns all certifications (badges) set up in your WorkRamp account.
- List events
Returns the events in a WorkRamp academy, including each event's title, description, publication status and session counts.
- List groups
Returns all groups in the WorkRamp enterprise, with each group's name and created and updated times.
- List guides
Returns all guides in your WorkRamp account, including each guide's title, task count, test question count and tags.
- List paths
Returns the learning paths in your WorkRamp enterprise, including each path's name, description, content counts and tags.
- List users
Returns the users in your WorkRamp enterprise, optionally filtered by email, name or a custom attribute.
- Buy credits
Initiate a credit purchase against a sender wallet.
- Find AI news
Full-text search across the AI news archive.
- Get AFTA adopter directory
Fetch the machine-readable AFTA adopter directory.
- Get AI agent directory
Fetch a curated directory of AI agents and frameworks.
- Get AI benchmark scores
Fetch public benchmark scores for major AI models.
- Get AI ecosystem daily brief
Fetch a composite daily brief covering the AI ecosystem.
- Get AI model pricing and specs
Fetch pricing and specs for AI models.
- Get AI news
Fetch aggregated AI news articles.
- Get AI podcast episodes
Fetch recent AI podcast episodes.
- Get AI service status
Fetch operational status for major AI services.
- Get benchmark trust verdict
Fetch a trust band and score for an AI benchmark.
- Get cheapest GPU offer
Fetch the cheapest current offer for a canonical GPU.
- Get cross-provider model catalog
Fetch a cross-provider AI model catalog snapshot from OpenRouter.
- Get failover verdict
Fetch the best operational failover target when a provider degrades.
- Get GPU rental pricing
Fetch current GPU rental pricing snapshot.
- Get HF daily papers
Fetch Hugging Face Daily Papers with community signal.
- Get historical snapshot
Fetch one historical daily snapshot by date and type.
- Get hot AI GitHub issues
Fetch currently-hot GitHub issues across AI repos.
- Get LLM endpoint latency probes
Fetch the last 24 hours of LLM endpoint latency probes.
- Get MCP server registry snapshot
Fetch a daily summary of the MCP server registry.
- Get model deprecation calendar
Fetch the AI model deprecation calendar.
- Get recent arXiv papers
Fetch the most recent AI/ML arXiv submissions.
- Get stack safety verdict
Fetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package.
- Get trending AI GitHub repos
Fetch trending GitHub repositories in AI.
- Get trending AI papers
Fetch daily citation-ranked AI/ML papers from Semantic Scholar.
- Get trending Hugging Face models
Fetch top trending Hugging Face models, datasets, and Spaces.
- Get trending Reddit AI threads
Fetch currently-hot AI discussion threads on Reddit.
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
What our customers say
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Questions
WorkRamp and TensorFeed, answered
What can start an automation from WorkRamp?
Any of WorkRamp's 9 triggers in the catalog, including Assignment Completed: Challenge, Assignment Completed: Path, Assignment Completed: Scorm and Assignment Created: Challenge. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in WorkRamp?
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 WorkRamp?
TensorFeed has no triggers in the catalog today, so automations start in WorkRamp. 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 WorkRamp 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 WorkRamp 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.