Integration
Connect QuickBase to TensorFeed
When something happens in QuickBase, 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 QuickBase 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 QuickBase can start in TensorFeed
When New or updated record in QuickBase
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 QuickBase and TensorFeed
Triggers and actions 2 triggers · 48 actions
- New or updated record
Polling trigger. Fires for each record added or modified in the specified Quickbase table, ordered by Date Modified. Records are deduped by their Record ID# (field 3).
- New record
Polling trigger. Fires for each new record added to the specified Quickbase table, ordered by Record ID#. Records are deduped by their Record ID# (field 3).
- Add app
Creates a new Quickbase application in the connected realm, optionally with a description, app variables and security properties.
- Add field
Creates a new field in a Quickbase table, optionally with display settings, type-specific properties and per-role permissions.
- Add table
Create a new table in a QuickBase app.
- Delete app
Delete a QuickBase app by id.
- Delete field
Delete one or more QuickBase fields from a table.
- Delete records
Delete records from a Quickbase table that match a query (Quickbase query language in the where clause).
- Delete table
Deletes a table from a Quickbase app, including all of the data within it.
- Get app
Get the properties of a Quickbase application by its app ID.
- Get field
Get a single QuickBase field by id.
- Get report
Get metadata for a single QuickBase report.
- Get table
Get the properties of a single Quickbase table by table ID and app ID.
- Get table fields
List all fields (columns) for a Quickbase table, including field IDs, labels, and types.
- Get tables for app
List all tables belonging to a Quickbase application.
- Insert or update records
Insert new records or update existing ones in a Quickbase table. Pass data as an array of record objects keyed by field ID. Include the table's key field (or record ID field 3) to update; omit to insert.
- List reports
Lists all reports defined on a Quickbase table.
- Query records
Query records from a Quickbase table. Optionally pass select (array of field IDs), where (Quickbase query language), sortBy, groupBy, and options (skip/top).
- Run formula
Runs a Quickbase formula against a table (and optionally a record) and returns the result as text.
- Run report
Run a Quickbase report by report ID and table ID and return its result rows.
- Update app
Updates an app's name, description, app variables and/or security properties. Properties left blank stay unchanged.
- Update field
Updates the properties and per-role permissions of an existing field in a Quickbase table. Properties left blank stay unchanged.
- Update table
Update an existing QuickBase table's properties.
- 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
QuickBase and TensorFeed, answered
What can start an automation from QuickBase?
Any of QuickBase's 2 triggers in the catalog, including New or updated record and New record. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in QuickBase?
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 QuickBase?
TensorFeed has no triggers in the catalog today, so automations start in QuickBase. 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 QuickBase 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.