# dataproduct.com

> How to build a data product with AI, contract first. A coding agent (Claude Code, OpenAI Codex, GitHub Copilot) builds the data product from three inputs: a data contract that says what to build, a skills repository that says how, and a data marketplace with the data to build on.

Full content, including the complete data contract, skills, agent run, and test results: [llms-full.txt](https://www.dataproduct.com/llms-full.txt)

## The approach

1. **Data contract (the what).** Business and consumers agree on what the data product must deliver. It is written as a YAML file in the Open Data Contract Standard (ODCS): purpose, schema, semantics, data quality, SLAs, owner, terms of use, and servers. Columns link to concepts in the business ontology.
2. **Skills (the how).** A Git repository of skills, templates, and hooks encodes the company's conventions for building data products. Example: the dbt Data Product Builder with the skills dataproduct-bootstrap, dataproduct-implement, and datacontract-test.
3. **Data marketplace (the data to build on).** The agent discovers existing data products, reads their data contracts, resolves semantics, and requests access. When done, it publishes the new data product, its test results, and its lineage.
4. **Coding agent.** One prompt: "Implement the data product with its data contract." The agent generates a dbt project, runs the pipeline with OpenLineage (dbt-ol run), runs dbt tests and data contract tests, and publishes the data product.
5. **Result.** A fully operationalized data product: a dbt project with input and output ports, a table in Snowflake, green contract tests, lineage, and a listing in the marketplace.

## Example

A category manager wants to know which brands barely sell. The data contract slow-selling-brands defines the columns brand, slow_selling_products, and latest_sold_date. The agent builds on the existing data products articles-latest and shelf-warmers, joins them on sku (both link to the same SKU concept), and materializes the result in Snowflake. 3/3 dbt tests and 11/11 data contract tests pass.

## Standards

- [Open Data Contract Standard (ODCS)](https://bitol-io.github.io/open-data-contract-standard/)
- [Open Data Product Standard (ODPS)](https://www.entropy-data.com/learn/open-data-product-standard)
- [Apache Ossie (semantics)](https://www.entropy-data.com/learn/what-is-apache-ossie)

## Tools

- [Data Contract CLI](https://github.com/datacontract/datacontract-cli): lint and test data contracts
- [Data Product CLI](https://github.com/datacontract/dataproduct-cli): lint and publish ODPS data products
- [Data Contract Editor](https://github.com/datacontract/datacontract-editor): write data contracts visually
- [Skill hub](https://www.dataproduct.com/skill-hub/): skill libraries for coding agents, filtered by technology
- [dbt on Snowflake skill library](https://github.com/dataproduct-skills/dataproduct-builder-dbt-snowflake): skills for building dbt data products on Snowflake
- [dbt on Databricks skill library](https://github.com/dataproduct-skills/dataproduct-builder-dbt-databricks): skills for building dbt data products on Databricks
- [dbt on BigQuery skill library](https://github.com/dataproduct-skills/dataproduct-builder-dbt-bigquery): skills for building dbt data products on Google BigQuery
- [Entropy Data](https://www.entropy-data.com): data product marketplace

## Learn more

- [What is a Data Product?](https://www.entropy-data.com/learn/what-is-a-data-product)
- [Data Product Heuristics](https://www.datamesh-architecture.com/data-product-heuristics)
- [Data Product Canvas](https://www.datamesh-architecture.com/data-product-canvas)
- [Data Product Types](https://www.datamesh-architecture.com/#data-product-types)
- [Entropy Explains, episode 4: Building Data Products with AI](https://www.youtube.com/watch?v=dq72KvRs7OA)
- [Talk: Building a Data Product Contract-first (with AI), POA Summit 2026](https://www.entropy-data.com/learn/talk-data-product-builder-poa-summit-2026)
- [Talk: Data-first or Contract-first?](https://www.entropy-data.com/learn/talk-data-first-or-contract-first)