Research inputs
A product is scored against the shared fairness model: distribution, vulnerability, transparency, reproducibility, additivity. Anonymised, shadow-mode.
INDICATIVE PROTOTYPE · figures pending NUMBERS v2.2 sign-off · internal — not for external release
Plane A · certifierFairness
certificate
certificate
Scoping question
Can "this product is fair" become a portable, verifiable asset — not a claim a counterparty has to take on trust?
Method
Configure a product, submit it, watch the checks run, and receive a signed, reproducible certificate with a verification hash.
Plane A · fairness certification
Submit a product. Get a signed verdict.
"Trust us, it's fair" doesn't clear due diligence. Configure a flexibility product, submit it to the sandbox, and watch it scored against the shared fairness model — distribution, vulnerability, transparency, reproducibility — then receive a certificate a partner or regulator can verify and reproduce. Fairness becomes a portable asset.
Configure the product
Product
Vulnerable bill-rise cap
Recycle revenue to low-income
Published methodology
Anonymised data only
flip the switches to see the grade change
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Distributional fairnessburden vs income across segments
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Vulnerable protectionbill-rise cap for protected groups
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Who-pays transparencypublished, auditable methodology
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Reproducibilitydeterministic backtest, re-runnable
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Shadow-mode & additiveconsumes signals, never controls grid
The certificate appears here once the product passes scoring.
What this is: a reproducible fairness assessment run in shadow mode on anonymised data — a verifiable artifact, not a regulatory approval. The hash signs the exact product configuration & model version so any party can re-run and confirm the same result. Scoring weights are illustrative, pending NUMBERS v2.2 sign-off; aligned to FMAR-style asset registration and Ofgem fairness principles. The fairness model prevents bias in execution and data-in-use, audited via the hash above.