QualityStable2 steps
Data Quality Standardize
A dependable standardization pass — trim, canonicalize contact fields, and coerce amounts — to raise the baseline quality of any customer dataset.
How it works
PipelineGeneral-purpose quality standardization built from composable steps.
- Transform
- Trim stray whitespace from every field.
- Normalize
- Standardize "email" into a consistent email format.
- Standardize "phone" into a consistent phone format.
- Standardize "company" into a consistent company format.
- Standardize "amount" into a consistent currency format.
Frequently asked
FAQ- Is this recipe ready to run?
- Yes. This recipe is stable — every step maps to a shipped capability, so it runs and returns structured records today.
- Can I customize the steps?
- Yes. A recipe is a starting configuration. Install it into a project and you can add, remove, or reorder steps to match your own data.
- What does it cost to run?
- Recipes run on the same usage-based pricing as every capability. Start free with 1,000 usage units a month across everything — no credit card required.
- How do I run it?
- Install the recipe into a project from your dashboard to get a saved pipeline, then call it over the REST API, an SDK, or MCP — one request in, clean records out.
quality-standardize · 2 steps · Stable
Run this recipe on your own data
Start free with 1,000 usage units a month across every capability — no credit card. Install the recipe, adjust the steps, and call it in one request.
Raise the baseline quality of any dataset with dependable standardization passes.