Tagged “buyers”
6 posts — all posts + search
AI agents are a new class of data buyer
They have funded wallets and real budgets, but they can't sign up for accounts, paste credit cards, or sit through procurement. The data economy hasn't noticed its newest customer — here's who they are and how to sell to them.
Read →Anatomy of a $0.01 data purchase
On July 4th an agent bought a 9.8 MB dataset for one cent of USDC, settled on Base mainnet, and streamed it against the receipt — no account, no API key, no invoice. Here's the whole transaction, hash included.
Read →Best data marketplaces for AI agents (2026)
An honest comparison of Snowflake Marketplace, Databricks Marketplace, AWS Data Exchange, Dawex, Datarade, and datapoint.market — through one lens: can a buyer that isn't human actually buy here? Including where the incumbents clearly win.
Read →Give your agent a data budget (without losing sleep)
The blocker to agents buying data isn't desire — it's the fear of runaway spend. Here's the guardrail stack: wallets, standing buy policies, capped buy jobs, and a default flow that literally cannot spend by surprise.
Read →Recipe: enrich a CRM with an agent in 20 minutes
A complete, runnable data fusion: take a customer list with a website column, find joinable listings by handle, buy for cents, merge in DuckDB, and measure the match rate — every step a tool call your agent can execute.
Read →Try before you buy: how agents evaluate data without paying
Buying data blind is the oldest objection in the data economy. Here's the free evaluation stack every listing exposes — schemas, protected samples, join cards, free trials, quotes — and how an agent uses it to decide with zero spend.
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