PlanetScale AI employee
A Superkind AI employee that queries data in PlanetScale, creates analyses, checks branches, and corrects records. Message it in Teams or Outlook, it does the work in PlanetScale and reports back with the result. Anything sensitive waits for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a PlanetScale AI employee?
A PlanetScale AI employee is an AI that connects to your PlanetScale account and completes work in it. It queries data, creates analyses, checks branches, and takes approved actions. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no zaps, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right PlanetScale actions, chains them with your other systems, and asks for your approval before anything sensitive runs.
PlanetScale is a managed database platform for MySQL with Vitess and Postgres, database branches, deploy requests, and scalable production clusters.
You ask in Teams
Describe the data or result you need in plain English.
Superkind picks the actions
Selects the right PlanetScale actions and chains them together.
Superkind works in PlanetScale
Queries tables, checks branches, and creates analyses. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in PlanetScale?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Query open orders from the orders table and send them to me as a table sorted by region.”
you, to @Superkind“Create an analysis of this week’s failed transactions from the payment data in PlanetScale.”
you, to @Superkind“After my approval, correct the wrong customer number in the production record for Nordstern GmbH.”
you, to @Superkind“Let me know here as soon as daily revenue in PlanetScale differs from its average by more than 20 percent.”
you, to @SuperkindHow does Superkind work with PlanetScale?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
PlanetScale is connected with the agreed permissions. Teams is connected as the place where your team works. Superkind checks the approved databases, branches, and tables. You can then get started directly in Teams.
@Superkind please check the orders table for unusual amounts and correct invalid status values after my approval.
On it. I am checking the records in PlanetScale and preparing the correction for approval.
2Tell Superkind what you need
Message Superkind in Teams like a colleague. Ask for a table, an analysis, or the status of a PlanetScale branch. Superkind picks the right actions. Follow-up questions arrive directly in Teams.
- 3 outliers found in orders
- Review record created in PlanetScale
- Status correction awaits approval
Review record createdWaiting for your approvalCorrect three production records?3Superkind operates, you approve
Superkind queries data in PlanetScale and reports the result back in Teams. Read-only tasks run independently. Changes to production data, deploy requests, or access rights wait for your approval. Every step remains traceable in Teams.
What can Superkind do in PlanetScale?
Ask in plain English from Teams or Outlook. Superkind picks the right PlanetScale actions, runs the work, and reports back. No workflows to build.
List databases
Lists PlanetScale databases with region, cluster size, branches, and status.
Get database details
Reads the engine, region, production branches, and open schema recommendations of a database.
Summarise database usage
Summarises storage, connections, and cluster sizes for a PlanetScale database.
Delete database
Deletes a selected PlanetScale database with its branches and connections.
List tables
Lists tables in an approved PlanetScale branch with names and schemas.
Query data
Runs a read-only SQL query and returns the result rows.
Filter table
Selects records from a PlanetScale table by columns, filters, and sorting.
Create analysis
Aggregates PlanetScale data into metrics, groups, and time series.
Correct record
Updates selected fields of a record in a production branch.
List branches
Lists development and production branches with region, status, and creation date.
Get branch details
Reads cluster size, replication, parent branch, and schema state for a PlanetScale branch.
Create branch
Creates a development branch from a parent branch or backup.
Compare branch schema
Compares the schema of a development branch with the production branch.
Delete branch
Deletes a selected PlanetScale branch and its connection passwords.
List deploy requests
Lists open and completed deploy requests with status and creator.
Get schema diff
Shows the schema diff of a deploy request between development and production branches.
Review deploy request
Checks the status, schema changes, comments, and required approvals of a deploy request.
Write deploy comment
Adds a comment with a review result or question to a deploy request.
Deploy schema change
Applies an approved deploy request to the production branch.
List backups
Lists backups for a PlanetScale branch with size, expiry date, and protection status.
Get backup details
Reads the time, size, retention, and restored branches of a backup.
Create backup
Creates a named backup for a selected PlanetScale branch.
Restore backup
Restores a backup as a new PlanetScale branch for review or recovery.
Get audit logs
Filters PlanetScale audit logs by time range, actor, and action.
Create password
Creates a connection password with a role for a selected PlanetScale branch.
Invite member
Invites a person to the PlanetScale organization with a defined role.
Superkind uses PlanetScale together with your other systems
Ask for outcomes that span tools. The AI employee pulls data from PlanetScale, cross-references it with Teams, Outlook, or your project systems, and delivers one finished result.
Superkind AI employees that work with PlanetScale
Every role brings its expertise and uses PlanetScale as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for PlanetScale.
Yes. Superkind connects PlanetScale through a managed connector. Your team can then put the AI employee to work in PlanetScale from Microsoft Teams or Outlook. It can read administrative data through the PlanetScale API and query approved tables through a separate database connection. You need neither a workflow builder nor custom integration code.
An admin creates a PlanetScale service token with the required permissions and selects the allowed databases. For table queries, you also configure a connection password with a minimum role. Superkind checks both connections with you. The AI employee then sees only the branches, tables, and administrative functions it needs for the agreed use case.
It can list databases and branches, query tables in read-only mode, create analyses, inspect schema diffs, summarise deploy requests, and check backups. After your approval, it can also correct selected production records, deploy schema changes, restore backups, or create access credentials. You define which PlanetScale actions are available during onboarding.
No. With Zapier or Make, you build triggers and individual steps and maintain them whenever requirements change. With the AI employee, you describe the desired result in plain English. Superkind picks the right PlanetScale actions itself, connects them with Teams, Outlook, Jira, or GitHub when needed, and asks when information is missing.
Only with your approval. Superkind can run read-only queries, analyses, and status checks independently. Changes to production records, deploying a deploy request, deleting databases or branches, and creating new access credentials wait for a yes from a responsible person in Teams. Your team decides which actions count as sensitive.
Superkind is hosted in the EU and we sign a GDPR data processing agreement. The AI employee gets minimum permissions for selected PlanetScale databases, branches, and tasks. Your data is not used for training. Queries, approvals, and completed actions are logged so your team can trace every access and change.
For reference, PlanetScale offers paid database clusters, with an entry production cluster in the low hundreds of euros per month. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup time and maintenance. Superkind is priced per use case, a fraction of a full-time hire.