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AI Data Auction

Sources

AI Data Auction relies on provider websites, company announcements, press reports and academic papers. This page lists the source types and the academic references.

Last reviewed

Source types

  • Provider websites and announcements, for what each company says it does.
  • Press reports from outlets such as Reuters, Bloomberg and The Wall Street Journal, for deal values.
  • Court filings and settlement documents, for legal outcomes.
  • Academic papers, for auction and market-design theory.

Academic references

  • Agarwal, A., Dahleh, M. and Sarkar, T. “A Marketplace for Data: An Algorithmic Solution.” ACM Conference on Economics and Computation, 2019.
  • Gao, Y. et al. “Learn then Decide: A Learning Approach for Designing Data Marketplaces.” arXiv:2503.10773, 2025. It proposes an auction phase to discover prices followed by posted prices for data. Read on arXiv.

Provider websites

How we use these is described in the methodology.