Integration
Connect CoachAccountable and Databox
When New Client fires in CoachAccountable, your agent runs Create Dataset in Databox, or New Dataset in Databox to Add Invoice Payment in CoachAccountable. 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 CoachAccountable and Databox 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 CoachAccountable and Databox can do together
From CoachAccountable to Databox
When New Client in CoachAccountable
then Create Dataset in Databox
When New Coach in CoachAccountable
then Ingest Data into Dataset in Databox
From Databox to CoachAccountable
When New Dataset in Databox
then Add Invoice Payment in CoachAccountable
When New Dataset in Databox
then Add New Invoice in CoachAccountable
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 CoachAccountable and Databox
Triggers and actions 6 triggers · 21 actions
Trigger
New ClientTriggers when a new client is created.
Trigger
New CoachTriggers when a new coach is created.
Trigger
New InvoiceTriggers when a new client invoice is created.
Trigger
New Invoice PaymentTriggers when a new payment is posted for an invoice.
Trigger
New SessionTriggers when a new Session is marked complete.
Action
Activate ClientActivates a Client.
Action
Add Invoice PaymentPosts a payment to a Client Invoice.
Action
Add New ActionAdds an action for a specific client.
Action
Add New ClientAdds a new Client.
Action
Add New InvoiceAdds a new invoice.
Action
Add SessionLog a new coaching session for a client.
Action
Get ClientRetrieve a single client by ID.
Action
List ClientsList all clients on the account.
Action
Mark Action DoneMarks an existing client Action done.
Action
Update ClientUpdate an existing client's profile fields.
Trigger
New DatasetTriggers when a new dataset is created in your Databox organization.
Action
Create DatasetCreates a dataset with the given columns inside a Databox data source.
Action
Delete DatasetPermanently deletes a Databox dataset and all its data.
Action
Delete Data SourcePermanently deletes a Databox data source and every dataset in it.
Action
Get DatasetReturns the details of one Databox dataset.
Action
Get Dataset IngestionReturns the details of one data ingestion into a Databox dataset, including its status, duration, record counts and any errors.
Action
Get Metric DataReturns a Databox metric's values for a date range at the chosen granularity.
Action
Ingest Data into DatasetAdds a batch of up to 100 records to a Databox dataset.
Action
List DashboardsLists the dashboards in your Databox organization.
Action
List DatasetsLists Databox datasets, optionally filtered by data source or name.
Action
List Data SourcesLists the data sources in your Databox organization.
Action
Purge DatasetRemoves all rows from a Databox dataset while keeping the dataset itself.
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
CoachAccountable and Databox, answered
What can start an automation from CoachAccountable?
Any of CoachAccountable's 5 triggers in the catalog, including New Client, New Coach, New Invoice and New Invoice Payment. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Databox when something happens in CoachAccountable?
Any of Databox's 11 actions, including Create Dataset, Get Dataset, Get Dataset Ingestion and Get Metric Data. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Databox to CoachAccountable?
Yes. When something happens in Databox, your agent can act in CoachAccountable too. This page covers both directions: Databox's triggers and CoachAccountable's actions are listed here as well.
Do I have to build a connector for CoachAccountable or Databox?
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 CoachAccountable and Databox 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.