Integration
Connect Aura to TensorFeed
When New Call fires in Aura, 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 Aura 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Aura can start in TensorFeed
When New Call in Aura
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 Aura and TensorFeed
Triggers and actions 3 triggers · 63 actions
- New Call
Triggers when a new call is booked in Aura.
- New Lead
Triggers when a new lead is added in Aura.
- New Payment
Triggers when a new payment is recorded in Aura.
- Add Lead Note
Adds a note to an Aura lead.
- Archive Lead
Archives an Aura lead.
- Cancel Call
Cancels a booked Aura call.
- Create Lead
Creates a new lead in Aura.
- Get Call
Returns one Aura call by its ID.
- Get Call Analysis
Returns the AI analysis of an Aura call.
- Get Call Form Answers
Returns the booking-form answers submitted for an Aura call.
- Get Dashboard Analytics
Returns Aura's dashboard analytics.
- Get Lead
Returns one Aura lead by its ID.
- Get Opportunity
Returns one Aura opportunity by its ID.
- Get Payment
Returns one Aura payment by its ID.
- Get Product
Returns one Aura product by its ID.
- Get Revenue Analytics
Returns Aura revenue grouped by currency.
- Get Scheduler
Returns one Aura scheduler by its ID.
- Get Scheduler Availability
Returns the bookable time slots of an Aura scheduler.
- Get Scheduler Fields
Returns the booking-form fields of an Aura scheduler.
- Get Team Member
Returns one Aura team member by its ID.
- Get Team Performance
Returns a performance summary for the Aura team.
- List Calls
Returns a page of Aura calls, optionally filtered.
- List Lead Notes
Returns the notes on an Aura lead.
- List Leads
Returns a page of Aura leads, optionally filtered by status or pipeline stage.
- List Opportunities
Returns a page of Aura opportunities.
- List Payments
Returns a page of payments recorded in Aura.
- List Products
Returns the products in the Aura account.
- List Schedulers
Returns the schedulers (booking links) in the Aura account.
- List Team Members
Returns the team members in the Aura account.
- Qualify Lead
Checks whether a lead would qualify for a scheduler and returns the result.
- Reassign Call Closer
Moves a booked Aura call to a different closer.
- Record Payment
Records a payment in Aura.
- Reschedule Call
Moves a booked Aura call to a new time.
- Send Test Webhook
Sends a test event to an Aura webhook subscription and returns how its endpoint responded.
- Set Call Outcome
Records the outcome of an Aura call (for example won, lost or no-show).
- Update Call
Updates an existing Aura call.
- Update Lead
Updates an existing Aura lead's details.
- Update Payment
Updates a payment recorded in Aura.
- Verify Payment
Marks an Aura payment as verified.
- 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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More into TensorFeed
Questions
Aura and TensorFeed, answered
What can start an automation from Aura?
Any of Aura's 3 triggers in the catalog, including New Call, New Lead and New Payment. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in Aura?
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 Aura?
TensorFeed has no triggers in the catalog today, so automations start in Aura. 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 Aura 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 Aura 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.