Validate your
FOCUS data.

Check your cloud cost and usage data against the FOCUS 1.2 specification. Runs entirely in your browser — your data never leaves your machine.

What We Check

55 columns. 200+ rules. Instant results.

Column Presence

Verifies all MUST, SHOULD, and RECOMMENDED columns exist. Flags missing required fields instantly.

Data Types

Checks that cost columns are numeric, date columns are valid timestamps, and strings are well-formed.

Format Validation

ISO 4217 currency codes, ISO 8601 dates, and enum values validated against the spec.

Nullability

Non-nullable columns checked for empty or missing values. Every blank cell in a required field is caught.

Business Rules

Allowed-value checks for ChargeCategory, ChargeFrequency, CommitmentDiscountStatus, and more.

Near-Match Detection

Fuzzy matching catches typos and casing errors in column names. “BilledAmount” → “BilledCost”.

How It Works

01

Upload or try sample data

Drag and drop a CSV file or click "Try with sample data" to see the validator in action. Files are processed locally — nothing leaves your browser.

02

Instant validation

The validator checks column presence, data types, formats, nullability, and business rules against the FOCUS 1.2 specification. Results appear instantly.

03

Review and export

Browse results by column, rule type, or entity. Expand any row for details and remediation steps. Export as JSON or CSV for your team.

What is FOCUS?

The FinOps Open Cost & Usage Specification (FOCUS) is an open standard that normalizes billing data across cloud providers, SaaS platforms, and data centers. A FOCUS-compliant dataset means your cost data is portable, comparable, and ready for FinOps analysis.

Without FOCUS
  • - Every provider uses different column names
  • - Custom ETL for each data source
  • - Cross-cloud comparisons are manual
  • - FinOps tools require data wrangling
With FOCUS
  • One schema across AWS, Azure, GCP, and more
  • Plug-and-play with any FinOps tool
  • Apples-to-apples cost comparison
  • Governance-ready data quality

Spending more than you should?

Let's find where your cloud and AI spend can work harder.

Get Started

or ask our AI agent