Know what your
pricing algorithm is doing.
Before a regulator asks.
The DOJ settled its first algorithmic price-fixing case. Eight states have laws in effect. Most companies haven't assessed their exposure.
Boxless runs 8 peer-reviewed statistical tests on your pricing data, identifies compliance gaps, and generates audit-ready reports for your legal team. In minutes, not months.
Free compliance assessment. 5 minutes. No credit card.
The Cost of Non-Compliance
Algorithmic Pricing Compliance, Automated
Replace $100K+ law firm engagements with continuous, data-driven compliance monitoring powered by peer-reviewed detection methods.
Price Synchronization Detection
Eight peer-reviewed tests analyze your pricing data for coordination signals: Granger causality, cointegration, structural break detection, rolling correlation, price dispersion, VAR modeling, Lerner Index margin analysis, and punishment pattern detection.
Audit-Ready Compliance Reports
Generate 12+ page PDF reports with executive summaries, statistical findings, regulatory citations, and recommended actions — formatted for your General Counsel and board. Ready to hand to a regulator.
Data Flow Compliance Mapping
Map your pricing data sources and automatically flag violations: non-public competitor data at runtime (DOJ Section 4.1), missing training/runtime separation (DOJ Section 4.2), recent competitor data under 12 months old.
Regulatory Tracker
Monitor all federal and state algorithmic pricing laws, enforcement actions, and investigations — filtered by your industry and jurisdiction. DOJ settlements, California SB 295, NY Disclosure Act, UK CMA investigations, and 40+ state bills tracked.
How It Works
Upload Pricing Data
Upload a CSV of your historical pricing data. Our engine validates the file and detects which statistical tests can run.
Run Statistical Analysis
Six peer-reviewed tests detect price parallelism, structural breaks, supra-competitive margins, and punishment patterns in your data.
Get Your Audit Report
Download a comprehensive PDF with findings, regulatory citations, and remediation steps. Formatted for your legal team and regulators.
The Regulatory Landscape
These laws and investigations are active today. Most companies have not assessed their exposure.
DOJ v. RealPage Settlement
Nov 2025 — First algorithmic pricing enforcement action. No non-public competitor data at runtime. Training/runtime separation required. 7-year compliance monitor. Case No. 1:24-cv-00710
California SB 295
Jan 1, 2026 — Prohibits “common pricing algorithms” incorporating competitor data. AG can demand algorithm information. Criminal penalties up to $6M. Civil penalties up to $1M.
NY Algorithmic Pricing Disclosure Act
Nov 2025 — Retailers must disclose algorithmic pricing using personal data. NY SB 7882 bans rental housing competitor data sharing. NY AG sent enforcement letters Jan 2026.
Federal & International
CA AG investigating grocers and hotels. UK CMA probing hotel chains. FTC “surveillance pricing” study ongoing. Dutch and Italian authorities investigating airline algorithms. 40+ state bills pending.
Industries Most Exposed
If your company uses algorithmic pricing in any of these industries, you have compliance exposure today.
Built on 8 peer-reviewed statistical methods used in DOJ antitrust investigations, including Granger causality, cointegration analysis, and structural break detection.
Your algorithm shouldn't be a black box.
See where your algorithmic pricing stands against current federal and state regulations. Free assessment. 5 minutes. No commitment.