Integration
Connect Clientify to TensorFeed
When New Contact fires in Clientify, 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 Clientify 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 Clientify can start in TensorFeed
When New Contact in Clientify
then Buy credits in TensorFeed
When New Deal in Clientify
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 Clientify and TensorFeed
Triggers and actions 3 triggers · 42 actions
Trigger
New ContactTriggers when a new contact is created in Clientify.
Trigger
New DealTriggers when a new deal is created in Clientify.
Trigger
New TaskTriggers when a new task is created in Clientify.
Action
Add companyCreates a company in Clientify with its contact details, address, tags and custom field values.
Action
Add taskCreates a task in Clientify, optionally assigned to a user and linked to contacts, companies and deals.
Action
Create Abandoned CartCreates an abandoned shopping cart for a Clientify contact, with the cart's items, shop and currency.
Action
Create ContactCreates a contact in Clientify. If a contact with the same email or phone already exists it is updated instead, unless forced insert is turned on.
Action
Create DealCreates a deal in Clientify, optionally linked to a contact and company and placed in a pipeline stage.
Action
Create OrderCreates an order in Clientify for a contact, with its line items.
Action
Delete contactDeletes a contact from Clientify.
Action
Find ContactFinds contacts by name, surname or email, optionally narrowed by phone, source, type or dates, and returns the matches.
Action
Get companyReturns the full details of a Clientify company by its id, including contact info, tags, custom fields and employees.
Action
Get contactReturns a Clientify contact's full details, including emails, phones, addresses, tags and custom fields.
Action
Get dealReturns a Clientify deal by its id, including amount, stage, pipeline, involved contacts and companies, tasks and custom fields.
Action
List contactsReturns the contacts in your Clientify account, optionally filtered by name/email, phone, source, type, or created/modified dates.
Action
Update companyUpdates an existing company in Clientify and returns the updated record.
Action
Update contactUpdates an existing Clientify contact's name, title, company, status and notes. Fields left blank keep their current values.
Action
Update dealUpdates an existing Clientify deal, changing only the fields you fill 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
Clientify and TensorFeed, answered
What can start an automation from Clientify?
Any of Clientify's 3 triggers in the catalog, including New Contact, New Deal and New Task. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in Clientify?
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 Clientify?
TensorFeed has no triggers in the catalog today, so automations start in Clientify. 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 Clientify 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 Clientify 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.