Read your Databox accounts and datasets, then push metrics as approved steps
Databox holds the dashboards your team checks when something looks off. Connect it with an API key and Luumen can list the accounts you have access to and check whether a dataset ingestion actually landed. When a metric needs to go in, Luumen sets up the data source or dataset and pushes the values as a previewed step you approve first.
7 tools: 2 read, 5 write. Reads answer instantly. Writes require approval by default. Everything is logged.
What a governed Databox run looks like inside Luumen.
Authorize once with API token. Luumen lists the scopes each action needs before you approve the connection, and credentials never appear in the chat.
This connection exposes write actions such as create dataset, create data source, delete dataset, delete data source, and more. For connected tools, admins configure which actions may run automatically and which require approval, within the access granted to the user. Review the configured approval policy before enabling write access.
You decide. Actions are granted per agent, skill, and team, and per environment — production is not staging. Read access can be broad while writes stay narrow.
Every call to Databox — read or write, approved or declined — is recorded with the actor, the input, and the result, and can be linked to the ticket or change record.
Connect in minutes. Every action scoped, approved, and audited from day one.