Integration
Connect NetHunt CRM to TensorFeed
When something happens in NetHunt CRM, your agent does the next thing in TensorFeed. Describe it 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 NetHunt CRM and TensorFeed to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 NetHunt CRM can start in TensorFeed
When New Call Log in NetHunt CRM
then Buy credits in TensorFeed
When New Comment in NetHunt CRM
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 NetHunt CRM and TensorFeed
Triggers and actions 8 triggers · 35 actions
Trigger
New Call LogTriggered when a new call log is added to a record in the specified folder.
Trigger
New CommentTriggered when a new comment is added to a record in the specified folder.
Trigger
New folderTriggered when a new folder is added.
Trigger
New Google Drive File in FolderPolls a NetHunt folder for newly attached Google Drive files linked to its records. Input: folder_id. Returns the list of new Google Drive file attachments.
Trigger
New or Updated Record in FolderTriggered when a record is created or updated in the specified folder.
Trigger
New Record in FolderTriggered when a record is created in the specified folder.
Trigger
Two-way sync new or updated records in folderA trigger for two-way syncing new and updated records in a specified folder, with enhanced on-the-fly mapping. Can only be used with enhanced two-way sync actions that support on-the-fly mapping.
Trigger
Updated Record in FolderTriggered when a record is updated in the specified folder.
Action
Add Call LogAdd a call log to the specified record.
Action
Add CommentAdd a comment to the specified record.
Action
Delete RecordDelete a record by ID.
Action
Find RecordSearch records in a folder by ID or text query.
Action
Find record by field valueFinds one record in a NetHunt folder by matching a field value, and projects the record's fields map alongside record_id / id / created_at.
Action
List Folder FieldsList the fields of a folder.
Action
List Readable FoldersList all folders the user can read.
Action
List Writable FoldersList folders the user can create records in.
Action
Buy creditsInitiate a credit purchase against a sender wallet.
Action
Find AI newsFull-text search across the AI news archive.
Action
Get AFTA adopter directoryFetch the machine-readable AFTA adopter directory.
Action
Get AI agent directoryFetch a curated directory of AI agents and frameworks.
Action
Get AI benchmark scoresFetch public benchmark scores for major AI models.
Action
Get AI ecosystem daily briefFetch a composite daily brief covering the AI ecosystem.
Action
Get AI model pricing and specsFetch pricing and specs for AI models.
Action
Get AI newsFetch aggregated AI news articles.
Action
Get AI podcast episodesFetch recent AI podcast episodes.
Action
Get AI service statusFetch operational status for major AI services.
Action
Get benchmark trust verdictFetch a trust band and score for an AI benchmark.
Action
Get cheapest GPU offerFetch the cheapest current offer for a canonical GPU.
Action
Get cross-provider model catalogFetch a cross-provider AI model catalog snapshot from OpenRouter.
Action
Get failover verdictFetch the best operational failover target when a provider degrades.
Action
Get GPU rental pricingFetch current GPU rental pricing snapshot.
Action
Get HF daily papersFetch Hugging Face Daily Papers with community signal.
Action
Get historical snapshotFetch one historical daily snapshot by date and type.
Action
Get hot AI GitHub issuesFetch currently-hot GitHub issues across AI repos.
Action
Get LLM endpoint latency probesFetch the last 24 hours of LLM endpoint latency probes.
Action
Get MCP server registry snapshotFetch a daily summary of the MCP server registry.
Action
Get model deprecation calendarFetch the AI model deprecation calendar.
Action
Get recent arXiv papersFetch the most recent AI/ML arXiv submissions.
Action
Get stack safety verdictFetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package.
Action
Get trending AI GitHub reposFetch trending GitHub repositories in AI.
Action
Get trending AI papersFetch daily citation-ranked AI/ML papers from Semantic Scholar.
Action
Get trending Hugging Face modelsFetch top trending Hugging Face models, datasets, and Spaces.
Action
Get trending Reddit AI threadsFetch 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
NetHunt CRM and TensorFeed, answered
What can start an automation from NetHunt CRM?
Any of NetHunt CRM's 8 triggers in the catalog, including New Call Log, New Comment, New folder and New Google Drive File in Folder. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in NetHunt CRM?
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 NetHunt CRM?
TensorFeed has no triggers in the catalog today, so automations start in NetHunt CRM. 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 NetHunt CRM 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.
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.