Data quality audit
Walks your agent through an audit of every source in the workspace: freshness, gaps, duplicates, cost data, CRM fields and identity coverage, ending with a prioritised fix list.
What it adds to your workspace
- Checks every source for freshness and gaps
- Audits cost, CRM and identity coverage
- Writes a prioritised fix list
Install
$ segmentstream add skill-data-quality-audit
▸ files added to your workspace repo
▸ deploy to start
Or ask your agent
“Run a data quality audit on this workspace.”
Pricing
Free. The skill runs on your agent and platform usage.
Part of these solutions
More agent skills
Want Data quality audit set up for you?
Our forward-deployed engineers build one solution on your data, in your own workspace, as code you own. Tell us what you run today and what you want; your note goes straight to our founder.
- One solution, on your data, in your own workspace
- First version live in two weeks
- Parity proven before anything is switched off
- Fixed scope and price, credited to your contract if you continue
Not ready for a pilot? Send the form anyway with your question. An engineer will reply, not a sales rep.
How the pilot worksYour company’s context, ready for every agent.
$ segmentstream workspace create acme --region eu
▸ workspace ready · data, objects, metrics and access rules in one place
▸ connect Claude, ChatGPT or Cursor with one connector
▸ tell your agent: “add our billing API as a source”
Our engineers build the first version on your data in two weeks, at a fixed price.
Or join the waitlist for self-serve:
Pilots are open now. Self-serve opens to the waitlist this fall.