Raw runtime, energy use, or a provider’s claim of improvement is not enough. crwdUnit places a preregistered intervention and counterfactual contract between the decision and payment, then settles only independently attributable value.
Define the outcome. Commit the comparison. Measure the difference. Pay only for the portion independently attributable to the intervention.
EcoSynQ can answer through QSA. Another provider can use an admitted meter, instrument, telemetry source, or independent verifier. This establishes resource value and its physical ceiling.
The preregistered comparator and independent observation determine the attributable effect. Verified activity can exist without becoming causally settleable customer value.
Most AI learns patterns from the past and predicts what is likely next. A pattern can show that two things happened together without proving that one caused the other. Causal AI declares the action and fair comparison first, measures both results, shows its uncertainty, and refuses to claim causation when the evidence is not strong enough. That is why it can support outcome-based payment.
The customer fixes the treatment, comparator, desired outcome, time horizon, risk ceiling, proof rules, and maximum settlement before results are known.
The selected executor commits its action, environment, control assignment, software, hardware, and execution window before observing the outcome.
An admitted measurement provider reports treatment and control outcomes, uncertainty, calibration, missing data, and regime changes.
crwdUnit estimates the causal effect, grades identifiability, applies evidence and delivery quality, and refuses settlement when the effect cannot be attributed.
EcoSynQ supplies an integrated path in which QuantumVM executes the admitted intervention, QSA independently measures physical delivery, Quantum Routing moves work through the declared topology, immuDB anchors proof, and SEA reports reserve coverage.
A provider does not need QuantumVM or QSA to participate. It can use its existing executor, telemetry, verifier, witness, and settlement rail as long as each role is declared, independently identifiable, and capable of producing the canonical evidence contract.
CausalMandateV1Defines the subject, treatment, comparator, outcome, population, horizon, confounders, risk limit, and settlement rule.InterventionCommitmentV1Commits the executor, action, control assignment, execution window, and hardware/software identity before the outcome is known.ExecutionEvidenceV1Proves what ran, when it ran, its environment, actual inputs and actions, and the hashes of the raw evidence.OutcomeObservationV1Reports treatment and control results with units, method, calibration, uncertainty, missing data, and verifier identity.CausalEffectReceiptV1Reports estimated effect, confidence interval, assumptions, sensitivity, identifiability, settleable effect, and settlement eligibility.V_QCU = W_physical × U_computational × R_delivery × Q_outcomeQCU_causal = p × max(0, τ̂ − zα·στ) × q_evidence × q_deliveryA_proof = 0 ⇒ V_settleable = 0Missing, invalid, late, or policy-inadmissible proof makes the result ineligible for settlement. Stronger proof cannot increase the amount charged.
Did a QPU cause a measurable improvement over the best declared classical alternative?
Did a scheduling intervention reduce cost without falling below the required reliability floor?
Did a blockchain improve finality, recovery, integrity, or cost over the admitted alternative?
Did a control policy reduce joules, cooling cost, or carbon intensity per completed workload?
Did an intervention reduce incident frequency, loss severity, downtime, or recovery time?
EcoSynQ is the premium assured customer and implementation. Every other provider can join without surrendering technological sovereignty. crwdUnit standardizes attribution, not the provider’s hardware.