Maryland and Connecticut surveillance-pricing bans took effect on 1 October 2026, New York requires an on-screen disclosure when an algorithm sets a price using personal data, and four states now restrict algorithmic rent-setting software. AxiSentinel evaluates whether a pricing algorithm used only the data it was allowed to use, and whether the required disclosure actually appears.
Last verified: 23 October 2026
0 industry-specific mandates and 61 that apply across all industries, worldwide.
Next date for this industry: 1 Nov 2026, Egypt PDPL compliance period ends.
See all 61 mandates →What started as an antitrust case against one rent-pricing vendor has become three parallel regulatory tracks: cities banning or restricting algorithmic rent-setting software, states now banning it outright statewide, and states requiring disclosure when a consumer price was personalized using their own data. All three are moving fast, and none is federal yet.
A pricing algorithm's terms of service say what data it is allowed to use. AxiSentinel is built for the harder question: whether it actually used only that data, on the day it set that price.
Coverage is city-by-city and state-by-state, not federal. AxiSentinel tracks the growing list the same way it tracks every other multi-jurisdiction patchwork.
Requires the specific disclosure “This price was set by an algorithm using your personal data” whenever personalized algorithmic pricing is used; penalties up to $1,000 per violation.
San Francisco, Philadelphia, Seattle, King County, Berkeley, Minneapolis, Spokane, Portland, Santa Ana, San Diego, Providence, Jersey City, Hoboken, and Rockville, MD (from 1 Jan 2027) each restrict rent-setting software using nonpublic competitor data, enacted between late 2024 and mid-2026.
In force since January 1, 2026; a statewide (not city-level) ban on using a revenue-management device to set residential rental rates or occupancy levels.
Signed July 20, 2026; the fourth state to bar algorithmic rent-coordination statewide, effective July 1, 2027.
Attorney General Bonta opened a January 27, 2026 sweep of retail, grocery, and hotel pricing; AB 2564, which would have barred surveillance pricing outright, died on 31 Aug 2026 at the final concurrence vote.
The FTC opened surveillance-pricing inquiries in 2024 and published findings in 2025; the House Oversight Committee opened a parallel inquiry into travel and hospitality pricing on March 5, 2026.
The federal DOJ case against RealPage has resolved defendant-by-defendant through consent decrees rather than trial (Greystar's final judgment entered March 2, 2026, following a $7M nine-state settlement; Willow Bridge's proposed judgment filed July 6, 2026; Pinnacle's proposed judgment filed September 4, 2026), and those settlements have spawned a wave of new private suits, including Gomez v. Greystar and Keller v. UDR, built directly on the municipal restrictions above.
General consumer-protection law already reaches deceptive or unfair pricing practices regardless of whether a jurisdiction has passed an algorithm-specific statute.
From a single pricing model to a national retail, hospitality, or property-management portfolio, AxiSentinel evaluates the software and evidence continuously, not just at filing time.
Retailers, landlords and service providers use AI to set and change prices. New rules, such as New York's algorithmic pricing disclosure law, require disclosure when personal data sets a price, and regulators are watching for unfair outcomes.
Pricing models run on live market and customer data, which competitors and fraudsters both try to manipulate or copy. AxiLayer AI works hand in hand with your cybersecurity team to test, monitor and evidence that these AI systems stay secure, under your written authorization.
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Status as of 28 October 2026. General information, not legal advice. Certifications, CE marking and regulated assessments named here are issued by the bodies the law designates.
Nothing about AxiSentinel's core architecture changes for pricing AI. What changes is which RegDef packages are switched on and what telemetry the agents capture.
Agents capture pricing-input and pricing-output telemetry on the cadence you configure, Always On or scheduled, in full rather than sampled, and never limited to a quarterly cycle.
Every telemetry event evaluated against the applicable city or state's disclosure and data-use rules, per pricing decision.
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, verifiable from the first event.
A compliance state change on one pricing algorithm or an entire portfolio propagates network-wide as it happens.
Nothing becomes a compliance finding until a qualified AxiLayer AI auditor reviews and signs it.
AXI-Node agents deploy across retail, hospitality, and property-management pricing systems, with the .axibatch format available for operators with restricted network access.
Tracks human involvement in pricing-override and exception decisions, feeding into AxiSentinel's oversight-gap scoring model.
The same agents generating compliance evidence watch for unauthorized data-source additions, undisclosed model retraining, and coordinated-pricing signal drift before a re-certified release reaches production.
New rule, jurisdiction, or requirement is added by encoding new RegDef packages. Deployed agents are never rebuilt.
Scoped to your organization during onboarding, not hard-coded into the platform.
A threshold breach becomes a flagged, timestamped, evidence-linked Provisional Alert, reviewed by a qualified AxiLayer AI auditor before anything counts as a finding.
The same architecture monitoring this industry's AI monitors a trading desk's model or a hospital's diagnostic AI. What changes is which RegDef packages are switched on.
Pricing rules are set city by city and state by state, not federally. Maryland and Connecticut surveillance-pricing bans took effect on 1 Oct 2026. New York's GBL Section 349-a requires the disclosure "This price was set by an algorithm using your personal data," with penalties up to $1,000 per violation. Connecticut has banned algorithmic rent-setting statewide since 1 Jan 2026, and New Jersey's FAIR Act takes effect on 1 Jul 2027.
New Jersey's FAIR Act takes effect on 1 Jul 2027. Signed on 20 Jul 2026, it makes New Jersey the fourth state to bar algorithmic rent-coordination statewide. It bars landlords from paying for or using a coordinator's service that relies on shared, competitively sensitive market data, and it bars technology providers from facilitating that coordination. Rockville, MD, Maryland's first city-level ban, follows from 1 Jan 2027.
A landlord needs evidence that the rent-setting algorithm used only the data sources its terms say it uses, on the day it set each price. Thirteen cities and King County restrict rent-setting software using nonpublic competitor data, with penalties from $1,000 to $7,500 per violation, and private plaintiffs now cite local ordinances as the standard an algorithm allegedly violated. Data-source provenance records address both disclosure and antitrust exposure.
An algorithmic pricing audit is a third-party assessment of a dynamic, personalized or rent-setting pricing model: which data it actually used, whether required disclosures appeared, whether outcomes differ across customer groups and whether its behavior has drifted since the last review. AxiLayer AI performs these assessments, and a qualified AxiLayer AI auditor reviews and signs every finding before it counts.
AxiLayer AI evaluates pricing algorithms continuously with AxiSentinel against the city, state and federal rules that apply in each market, from New York's disclosure law to local rent-setting restrictions. The evidence supports regulator exams, cease-and-desist responses and litigation holds without rebuilding it each time. A qualified AxiLayer AI auditor reviews and signs every finding. Request a briefing to review your pricing portfolio.
Last verified: 23 October 2026. See every mandate for this industry on the AI Audit Mandates Map.
Whether it's a single dynamic-pricing model or a national portfolio spanning retail, hospitality, and rental markets, AxiSentinel evaluates it the same way it evaluates any AI system: on the cadence you configure, Always On or scheduled, with full evidence, and with a human signature before anything counts as a finding.
