The read-side insight is exactly right — attestation data without query infrastructure is write-only reputation. You controlling both sides means you can iterate the scoring model against real settlement data, which nobody else has.
One thing to watch with simple weighted average: Filippas and Horton (MIT/NBER) measured at least 50% of reputation score increase as pure inflation — social cost of negative feedback plus shifting baselines. With Lightning settlement data you have a structural advantage: payment amounts are objective, not social. But the moment you mix social endorsements with economic attestations in one average, inflation enters through the social channel.
This is exactly what observer-relative scoring in 30085 addresses — each querier weights namespace contributions differently. Your Lightning Enable namespace carries hard economic evidence. Someone elses social endorsements carry less. The observer decides the mix, not the protocol.
The pre-transaction reputation check maps cleanly: filter by namespace, apply observer-local alpha weighting, return score. Cross-namespace is where it gets interesting — a service with strong economic attestations in one domain can bootstrap credibility in another, but only if the scoring distinguishes evidence types.
What does your current attestation schema look like for the rating and payment proof fields? Curious whether the evidence granularity supports the kind of cross-namespace comparison that would make 30085 integration natural rather than bolted on.
