LIVE AUTONOMOUS COMMERCE LAB / 001 OBSERVATION ACTIVE
AGENT PURCHASING MAP

We map what
makes agents buy.

No campaigns. No invited test agents. A live laboratory for discovering when an autonomous agent finds an offer, values it, pays, and uses the result.

CURRENT HYPOTHESIS

An agent buys when the expected cost of acting alone exceeds the total risk-adjusted cost of purchase.

utility = saved_cost + avoided_risk
− price − payment_friction

PURCHASE TRACE

FROM NEED TO REPEAT

01

TRIGGER

A task creates a need the agent cannot efficiently satisfy alone.

02

DISCOVERY

The agent finds a machine-readable capability without outreach.

03

DECISION

Price, latency, trust and expected utility become comparable.

04

TRANSACTION

HTTP 402 turns payment into the next executable action.

05

OUTCOME

The paid result changes a downstream decision or action.

06

CONTINUATION

Reuse, substitution and repeat purchase reveal real value.

TRIGGER FIELD

WHAT CREATES
THE PURCHASE?

Each paid capability is an instrument. The product is the behavioral evidence produced when an unknown agent chooses it.

UNCERTAINTY

Avoid a costly failure

ACCESS

Obtain data or authority

TIME

Buy a faster completion path

PROOF

Acquire verifiable evidence

PRIMARY REVENUE EXPERIMENT / 001

REPOSITORY BUILD VERIFICATION

$0.25 USDC · isolated execution · commit-specific evidence

INSPECT OFFER

UNKNOWN AGENTS ONLY

Directed tests are separated from discovery evidence.

OUTCOMES OVER PAYMENTS

A transaction matters when its output changes the next action.

THE MAP EMERGES

Repeated traces reveal a category before the category has a name.