ODCS v3.0.0 Compliant

AI Data Contract Builder

Build production-ready data contracts through conversation. Paste sample data, describe your dataset, set quality rules and SLAs — and export an ODCS-compliant contract in YAML or JSON.

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Welcome to the AI Data Contract Builder. I use an LLM to help you create ODCS v3.0.0 compliant data contracts through natural conversation. You can:•Paste sample data (JSON or CSV) and I'll infer your schema, detect PII, and suggest quality rules•Paste a JSON Schema and I'll convert it to ODCS format•Describe your dataset in plain English and I'll structure the metadata•Set quality rules, SLAs, team members, ownership, and terms Try the quick actions below, or just start typing.

How It Works

The AI Data Contract Builder uses conversational input to structure your data contracts according to the Open Data Contract Standard (ODCS) v3.0.0:

  • Schema inference: Paste JSON or CSV data and the builder automatically detects column types, nullability, primary keys, and PII classification.
  • JSON Schema import: Paste an existing JSON Schema and it converts to ODCS dataset format with proper type mapping.
  • Natural language: Set contract metadata, quality rules, SLAs, and team members using plain English commands.
  • Live editing: Every field in the contract is directly editable. Add columns, modify types, set classifications, and configure service levels inline.
  • Export ready: Download your contract as YAML or JSON, fully compliant with ODCS v3.0.0 including dataset schemas, quality rules, service levels, and terms.

This is a client-side tool. Your data never leaves your browser. In the full Belvedere platform, data contracts are automatically derived from live data sources with ML-powered semantic understanding.

One Small Piece of Something Bigger

A quick way to define what “good” looks like. Belvedere takes it from there.

This builder is a lightweight, standalone tool — one small surface of the Belvedere platform pulled out so you can use it right now, for free. Sketch out a contract for a source, an input, a pipeline output, or anything in between. It takes a few minutes, not a few sprints.

Inside Belvedere, data contracts are just one of many things the platform handles for you — alongside source discovery, pipeline design, schema propagation, and ongoing monitoring. You don't need contracts to use Belvedere, but when you want them, they're already woven in.

01

This Tool

Sketch a contract from sample data

Paste some JSON or CSV, describe what the dataset represents, and set whatever quality expectations matter to you. Export it as YAML or JSON when you’re ready.

Sample data • quality rules • ODCS export

02

In Belvedere

Belvedere learns your sources automatically

Connect a database, API, or file store. Belvedere’s Knowledge Arm discovers what’s there — schema, sensitivity, relationships — and can propose a contract or simply carry that understanding forward into pipeline design.

Live discovery • PII detection • auto-classification

03

In Belvedere

Pipelines are built with context

When contracts exist, Belvedere’s Compilation Agent uses them as guardrails — catching mismatches early and generating code that respects your expectations. Without a formal contract, pipelines still work; the platform adapts to however much structure you give it.

Schema awareness • early mismatch detection • flexible guardrails

04

In Belvedere

Changes are surfaced, not buried

When something shifts upstream — a new column, a type change, a freshness delay — Belvedere notices. If a contract is in place, it can pinpoint exactly what drifted and help you resolve it. If not, you still get visibility into what changed.

Drift visibility • smart alerts • optional auto-remediation

Contracts are just the beginning. Explore how Belvedere understands your sources, builds pipelines, and keeps everything running — on the stack you already have.

Explore the Platform