Databox

analytics 7 tools available

Connect your data from any tool and track it from any device. Build and share reports, monitor trends, and discover insights.

Connect Databox Visit Databox

About this integration

Connect Databox to Definable to answer ad-hoc analytics questions, detect anomalies, auto-generate weekly summaries. Personas call Databox's 7 tools directly from chat or scheduled flows. Plug into a data-analysis persona to ask questions in plain English — the agent runs the queries.

Connect Databox to Definable and it becomes a set of typed tools your agents plan with — triggered by events, run on schedules, or invoked mid-conversation. Every write is checked by the verifier before it lands.

Auth OAuth2 · 2 clicks

Tools 7 exposed

Plans All, incl. Free

Data Never trained on

Databox · in workflows

What teams actually run.

Three patterns teams run with Databox on day one. Each one is a plain-English prompt — no canvas, no glue code — and you can remix them into anything.

Weekly anomaly digest

│ Query metrics from this tool

│ Compare against rolling baseline

└ Surface anomalies with reasoning

Funnel deep-dive

│ Pull funnel events for a date range

│ Compute drop-offs at each step

└ Generate a written analysis

Cohort answers on demand

│ User asks a question in chat

│ Agent translates it to a query

└ Returns numbers + a chart-ready summary

7 tools available

The Databox toolbox.

Every Databox capability your agents can call, each with a typed schema the planner reads. The router picks the right tool per step; the verifier checks the result.

Create Dataset

Tool to create a new dataset in Databox data source. Use when you need to initialize a dataset with a title, data source ID, and primary keys for unique record identification.

Create Data Source

Tool to create a new data source in Databox. Use when you need to create a logical container for datasets within a Databox account. Requires accountId, title, and timezone parameters.

Delete Dataset

Tool to delete a dataset by ID in Databox. Use when you need to permanently remove a dataset. This operation is irreversible.

Delete Data Source

Tool to delete a data source by ID in Databox. Use when you need to permanently remove a data source. This operation is irreversible and will delete all associated datasets.

Get Dataset Ingestion Status

Tool to check the status of a specific data ingestion for a dataset. Use when you need to verify whether a data ingestion was successful by providing the dataset ID and ingestion ID returned from the initial POST request.

List Accounts

Tool to retrieve all Databox accounts accessible to the authenticated user. Use to identify account IDs required for subsequent API operations like data source creation.

Push Data to Dataset (V1)

Tool to push data points to a Databox dataset using the v1 API. Use when you need to ingest data records into a specific dataset by providing the dataset ID and an array of records matching the dataset schema.

See it run

One prompt, start to finish.

A real prompt, the Databox tools it calls, and what comes back. This is the whole interface — describe the outcome, agents handle the rest.

❯

Run a real Databox task end-to-end — plan it, execute across the API, and hand back a verified result.

databox.create_dataset Tool to create a new dataset in Databox data source. Use when you need to initialize a dat

databox.create_data_source Tool to create a new data source in Databox. Use when you need to create a logical contain

databox.delete_dataset Tool to delete a dataset by ID in Databox. Use when you need to permanently remove a datas · verified

done

Done. Databox responded across 3 calls, the verifier signed off, and the result is logged with every payload.

Pairs well with Databox

Connect Databox to your stack with Workflow

AI-native automation between Databox and 90+ other tools — built, run, and self-healed by Workflow.

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Databox + ActiveCampaign

FAQ · Databox

Questions, answered.

What teams ask before connecting Databox.

01 What can I automate with Databox on Definable?

Anything Databox exposes through its API. Common analytics workflows on Definable include answer ad-hoc analytics questions, detect anomalies, auto-generate weekly summaries. Personas can call any of the 7 Databox tools directly, then chain the result into another integration without you writing code.

02 How does Databox authentication work?

Databox uses API_KEY on Definable. You connect once from the integrations page, scoped to the permissions you choose, and from then on any persona that has the integration enabled can act on your behalf. Tokens are encrypted at rest and rotated automatically.

03 Is the Databox integration included in my Definable plan?

Yes — every Definable plan, including Starter, includes access to all 7 Databox tools. You only need a separate Databox subscription if Databox itself charges per seat or per API call.

04 Is using Databox through Definable secure?

Every call from a persona to Databox is logged with the user, persona, prompt, and response. Tokens never leave Definable's secrets vault, scopes are configurable per persona, and you can revoke access at any time from the integration page.

05 How do I get started with Databox on Definable?

Sign up for Definable, open the integrations page, find Databox, and connect via OAuth or API key. You can immediately attach Databox to any persona and start running workflows. The free Starter plan includes 5,000 credits/month.

06 What Databox actions does Definable expose?

Definable exposes all 7 Databox actions as callable tools — including `Create Dataset`, `Create Data Source`, `Delete Dataset`, plus 4 more. Each tool gets a typed parameter schema so personas know exactly how to call it.