Integration
Connect AskNicely and Databox
When New Response fires in AskNicely, your agent runs Create Dataset in Databox, or New Dataset in Databox to Deactivate Contact in AskNicely. 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 AskNicely 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 AskNicely and Databox can do together
From AskNicely to Databox
When New Response in AskNicely
then Create Dataset in Databox
When New Response in AskNicely
then Ingest Data into Dataset in Databox
From Databox to AskNicely
When New Dataset in Databox
then Deactivate Contact in AskNicely
When New Dataset in Databox
then Get Contact in AskNicely
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 AskNicely and Databox
Triggers and actions 2 triggers · 21 actions
Trigger
New ResponseTriggers when a customer answers an AskNicely survey with a score or comment.
Action
Add PersonAdds a contact to AskNicely, or updates them if they already exist, without sending a survey.
Action
Deactivate ContactSets a contact inactive so they get no more surveys; the contact is kept and can be re-added later.
Action
Get ContactFinds a contact by email address, or by another field such as id or a custom property.
Action
Get Daily StatisticsReturns historical survey statistics (sent, opened, responded, NPS) for a year, month or day, optionally for one segment.
Action
Get NPS ScoreReturns your Net Promoter Score calculated over the last N days.
Action
Get Sent StatisticsReturns how many surveys were sent, delivered, opened and answered over the last N days, with promoter/passive/detractor counts.
Action
List ResponsesReturns survey responses (score, comment, contact) received since a given time, a page at a time.
Action
List Unsubscribed ContactsReturns the contacts who unsubscribed from your AskNicely surveys, a page at a time.
Action
Send SurveyAdds or updates a contact and sends them a survey, following your AskNicely contact rules.
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
List MetricsLists the metrics 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
AskNicely and Databox, answered
What can start an automation from AskNicely?
Any of AskNicely's 1 trigger in the catalog, including New Response. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Databox when something happens in AskNicely?
Any of Databox's 12 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 AskNicely?
Yes. When something happens in Databox, your agent can act in AskNicely too. This page covers both directions: Databox's triggers and AskNicely's actions are listed here as well.
Do I have to build a connector for AskNicely 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 AskNicely 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.