Selected runs acrossreal decisions.

A small sample of recent runs — pricing, messaging, policy, product, and protocol decisions — each a population sampled, a scenario posed, and thousands of reactions returned. Identifying details redacted where required.

6 RUNS
SIM-0142
PRICINGCONSUMER
Subscription price +9% — who churns

AGENTS

1,240

COHORTS

12

RESULT

61% retain

SIM-0139
MESSAGINGA/B/C
Brand relaunch — three taglines tested

AGENTS

920

COHORTS

9

RESULT

Angle B +14% intent

SIM-0136
POLICYPUBLIC
Utility rate change — household impact

AGENTS

2,000

COHORTS

16

RESULT

38% oppose

SIM-0133
PRODUCT
New plan tier — willingness to switch

AGENTS

1,100

COHORTS

10

RESULT

+22% upgrade intent

SIM-0129
CRYPTOGOVERNANCE
Fee-switch proposal — LP reactions

AGENTS

1,400

COHORTS

8

RESULT

12% LP exit

SIM-0126
CRYPTOINCENTIVES
Airdrop design — claim & hold behavior

AGENTS

3,200

COHORTS

11

RESULT

Dump risk 0.34

— TRY IT OUT LIVE

Run a simulation on
your question.

The runs above were built for real decisions. Yours can be next — describe a population, pose a scenario, and see how thousands of data-grounded agents react before you commit to the call.

WHAT WE'LL SIMULATE FOR YOU

A pricing change

How your real audience reacts to a new price — who stays, who churns, and why.

A message or launch

Which positioning lands, with whom, and what objections it triggers — before you spend.

A policy or rule change

How a representative population responds, broken down by the segments that matter.

A token decision

How real wallet cohorts react to a fee switch, airdrop, or governance proposal.