Is this a certification?

No. It is measurement, not certification. We grade; we never vouch. Signed cards record what was measured and how to reproduce it.

Can an underwriter verify the data offline?

Yes. Fetch a card, get the trust root from did:web:csoai.org, check the Ed25519 signature, check the hash chain, re-run the metric. No account needed.

What is the penalty-exposure feed?

19 AI-regulation deadlines with legal basis, status, and penalty exposure (e.g. EU AI Act EUR35M/7%, Illinois USD1M/3M), quarterly re-verified, corrections appended never edited.

Does the measured set include the insurer?

No. Insurers sit outside the measured set; we never rank them and they never pay to be ranked. The firewall keeps the rail neutral.

Evidence pack · for underwriters & risk teams

AI-system measurement you can verify, offline, with no account.

One signed measurement card below. Fetch it, verify it, keep it. Every number traces to a live, replayable measurement — never to a claim we ask you to take on trust.

Step 1 — fetch a signed measurement card

A card is a ~3 KB ed25519-signed capsule: axes, values, sample counts, timestamps, and a hash chain to prior cards. It is measurement, not certification — we grade, we don't vouch.

Card live sample: h3k-2026-08-20T0422.json (7,412 B, ed25519) · verify API

Step 2 — verify offline (no account, no trust)

Fetch the card — curl -L https://meok.ai/cards/h3k-2026-08-20T0422.json
Get the trust root — curl https://csoai.org/.well-known/did.json (Ed25519 keys)
Check the signature — verify sig_b64 over body_sha256 with the published key. Recompute the hash: it must match body_sha256.
Check the chain — the card's prev link must match the previous card's hash (no gaps, no rewrites).
Reproduce a number — the flagged axes link to the live board (councilof.ai/api/gspc); re-run the metric yourself.

You can reproduce every step on a laptop with openssl and curl. Nothing here needs us to be online.

Underwriting Data Feed Licence — the lead product

The reg-deadline feed composed into an underwriting input table: every AI-regulation deadline with legal basis, status, and penalty exposure — the exact figures (€35M/7%, €15M/3%, $1M/$3M Illinois…) that make policy conditions and parametric triggers contractible. Rendered live from councilof.ai/api/regulation; quarterly re-verified, corrections appended never edited. This needs no signed receipt — it is the data an underwriter can use tomorrow.

Loading regulation feed…

Feed: /api/regulation · licence: annual subscription + API (~$10k floor scaling to low-six-figures per the reference-data market) · no money from anything we measure.

Live measured provisions — the underwriting input

Rendered live from the signed board API (councilof.ai/api/gspc) — numbers derive from the manifest, never hand-typed. Provision-conformance is deterministic (Design Law 1: no LLM judge); market context is reported alongside, never fused.

Loading live board…

Full board: /api/gspc · methodology DOI 10.5281/zenodo.21991104 — cite the concept DOI, it always resolves to the latest version.

Loss-context language — what the card does and doesn't say

Claim type	Card says	Card does NOT say
Data fidelity MEASURED	Rel-L2 error 0.072 on held-out real windows (u,v channels)	No "safe" or "certified" claim
Physics consistency MEASURED	MVPE 0.043 (wake profile), TKE 0.58 (fluctuation energy)	No fitness-for-purpose warranty
Runtime MEASURED	13 ms/step vs 729 ms numerical reference	No throughput SLA
Uncertainty MEASURED	SPS 50.7 with calibrated intervals (coverage 85%)	Intervals are not a guarantee of coverage on unseen regimes
Deployment LOSS CONTEXT	Measured on released data only; unseen-regime risk is the top-10 shortlist's private test	No assurance that real-world drift stays inside the measured envelope

Underwriting use: treat the card as evidence of measurement practice, not as a performance warranty. Pair it with your own validation on your own data — the point of a signed card is that you can.

What this feeds (30 Sep)

This page is the standing evidence pack. The 30 Sep underwriter exhibit adds the divergence map — measured fleet scores vs reported human baselines on the same axes — and the AIUC-1 crosswalk. Ask the chat hero for "the insurer pack" or open the front door.