For buyers
One canonical place to compare vendor disclosure posture before procurement starts. Filter by vertical (EdTech, HealthTech, FinTech), by required field (HIPAA, FDA SaMD, FERPA), by signature status.
The AI Procurement Pulse measures, every ninety days, what AI vendors actually publish about
themselves at /.well-known/ — Agent Cards, Tool Cards, Clinical AI Disclosures,
Procurement Decision Cards, the full Kinetic Gain Protocol Suite.
We read the open internet, score what's there, and report what isn't.
The Verified Baseline is live — between Issue #4 and the
August quarterly delta. Engine v0.4 ships per-spec discriminator (retires the Gatsby SPA-catchall
false-positive class). The eleven dogfooded kineticgain.com documents are now
ed25519-signed and verified — the first verified row in any Pulse
measurement. Universe at 1,531 domains (Issue #4 was 834; the difference is editorial
sourcing + the "every deploy enters universe" rule). The instrument is calibrated for August.
See also Issue #4 — The Scaled Mirror,
Issue #3 — Three-Day Drift Soak,
Issue #2 — The First Non-Zero Row, and
Issue #1 — The Zero Baseline. This page remains the standing methodology.
A school district vetting an AI tutor today reads a 40-page vendor whitepaper, a HIPAA attestation, and a marketing PDF. A hospital vetting a clinical-decision-support tool does the same. A federal agency does the same. Every buyer reinvents the same review wheel because vendors don't disclose in a comparable format.
The Suite ships an open substrate that makes disclosure machine-readable. The Pulse measures who's using it — and, more importantly, who isn't. Vendors that publish appear on the public scoreboard. Vendors that don't appear on the same scoreboard with a blank cell. Buyers cite the report. Regulators reference it. The race-to-the-top mechanism has, until now, been missing.
One canonical place to compare vendor disclosure posture before procurement starts. Filter by vertical (EdTech, HealthTech, FinTech), by required field (HIPAA, FDA SaMD, FERPA), by signature status.
Quarterly visibility into your peers' disclosure posture. If your direct competitors are publishing their Agent Cards and you aren't, the Pulse makes that gap legible to your prospects.
An evidence base for what self-disclosure can and cannot achieve in the AI market, refreshed every ninety days. Comparable across verticals, replicable methodology, no vendor cooperation required.
These charts are projected, illustrative mocks. Issue #1 (Q3 2026) replaces them with real crawl data from ~1,200 vendor domains.
% of in-scope vendor domains in each vertical publishing any Suite document at /.well-known/.
Higher = more transparent procurement posture.
hash-attestation-rs · 23%Hypothetical drift rate over four quarters as adoption matures.
Every step is open-source. Every data point is publicly fetchable. The Pulse is reproducible by anyone who runs the same crawl against the same universe of domains on the same day.
universe.csv alongside the issue.aeo-crawler against each domain's /.well-known/ for the eleven Suite documents. JSON Lines output, hashed for replay.aeo-validator-service. Invalid documents are flagged but counted as published for the publication-rate numerator.signing_key_url, hash-attestation-rs verifies the ed25519 signature against the canonical-JSON hash.content_hash changes without a corresponding version bump is logged as a drift event.
The crawl runs from a US-East datacenter with a standard user-agent (kineticgain-pulse-crawler/1.0),
respects robots.txt, rate-limits to 10 req/s per origin, and identifies itself with a contact email
in the User-Agent string. No authentication. No headless browser. No vendor cooperation needed.
Aggregate publication rates across the ~1,200-domain universe. By vertical, by spec, by signed-status. Reproducible. Reusable.
One per regulated vertical (EdTech, HealthTech, FinTech). What's required by law vs. what's published. Where the gap is widest.
Which vendor documents changed silently between snapshots, and by how much. The first quantitative answer to "is anyone actually maintaining these documents."
How many buyers — districts, hospitals, agencies — published AI Procurement Decision Cards this quarter. Buyer-side adoption is the harder half.
Every vendor whose Suite documents are cryptographically signed. Public, named, alphabetized. Quiet pressure on the unsigned majority.
Full crawl logs, universe.csv, validator output. Every claim in the report has a reproducible artifact you can pull and rerun yourself.
One email per quarter. No marketing list rentals, no surprise newsletters, no upsells you didn't ask for.
Or just bookmark this page. Or email pulse@kineticgain.com and we'll add you manually. Issue #1 ships Q3 2026 (July).
The AI Procurement Pulse is a quarterly research publication that measures AI vendor governance disclosure using the open Kinetic Gain Protocol Suite as its substrate. It exists because AI procurement is the largest under-measured market in software, the disclosure data is publicly fetchable today, and nobody has built a recurring index of who's publishing what. We're building it. Issue #1 ships in July. Subscribe.
The Pulse is part of a wider governance and procurement ecosystem. Buyers can move from this research layer into the protocol docs, validation surfaces, and decision-card examples without leaving the Kinetic Gain network.
suite.kineticgain.com explains the eleven public specs this index measures across agent, evidence, procurement, and incident disclosure.
docs.kineticgain.com provides quickstarts, implementation guidance, and the broader Kinetic Gain operator stack context.
examples.kineticgain.com and directory.kineticgain.com show how the disclosure layer turns into buyer-readable proof and vendor comparison.
Pulse measures vendor disclosure coverage across 1,531 domains every quarter. When you (a buyer) receive a disclosure from one specific vendor and need to evaluate its depth, the apex hosts the per-vendor reading tools:
/trust/vendor-ai-disclosure-review/ — 10-dimension buyer-side rubric. Found × quality × notes per dimension. Verdict bands (well-disclosed · standard · sparse · red-flag). Auto strengths/gaps/follow-ups. The per-vendor counterpart to Pulse's population measurement.
/trust/ai-system-card/ — the inverse: document your own AI systems for the customers and auditors who'll ask. 14-field form, markdown + JSON export.
/trust/ on the apex — Evidence Locker · Shadow AI Discovery · AI Vendor Intake · Tabletop Kit · Risk Register · Subprocessor Disclosure Template · plus the two above. Browser-only, no login, no telemetry.