Engineering notes, product updates and privacy deep-dives.
A CSV is a rumor. A machine-ready dataset is testimony. Here are the 12 questions an agent asks a dataset before trusting it, with a scoring rubric you can run on your own data today.
Data Marketplace Team ·
The most valuable search result is zero. We dissect one failed query, step by step, and show how an honest empty result becomes a posted data request instead of a made-up number.
Data Marketplace Team ·
The entire integration is one command and an API key. Here is the line, the files you won't install, and an annotated Claude session from first search to checkout link.
Data Marketplace Team ·
Every data marketplace launched in the past decade is fundamentally a file server with a shopping cart. It cannot scale to a world of AI agents, provenance requirements, and second-level settlement. Data trading needs a clearinghouse.
Data Marketplace Team ·
Patient records, credit data, genomic sequences — the insights are valuable but sharing raw files is illegal or too risky. Compute-to-data lets buyers query aggregated results while the raw data never leaves the provider's infrastructure.
Data Marketplace Team ·
Agents can browse, reason, and use tools — but most data marketplaces are still built for humans clicking through checkout flows. Here's what an agent-native marketplace looks like: structured discovery, API-based acquisition, and spending controls built for autonomy.
Data Marketplace Team ·
Star ratings and completeness percentages don't tell buyers whether a dataset is fit for purpose. The Predictive Utility Score is a normalized, automated 0-100 metric computed from schema conformance, data quality, provenance, and rights clarity.
Data Marketplace Team ·
PDF contracts are ambiguous, slow, and invisible to the machines that increasingly buy and sell data. Here's how W3C standards ODRL and DPV turn data licenses into structured, deterministically enforceable policies instead of legal prose.
Data Marketplace Team ·