Machine Assets Reporting Standard
The open neutral telemetry schema for autonomous machine performance, ROI calculation, and insurance underwriting. Any robot. Any manufacturer. One standard.
// The Problem
A BMW procurement team cannot compare Figure 02 against Atlas on the same economic metrics. An insurer pricing autonomous machine risk has no auditable data record to underwrite against. A CFO approving a 10-robot fleet has no neutral ROI calculation. MARS is the missing standard.
Figure 02, Atlas, Digit, and AEON each report performance in proprietary formats. Direct comparison requires a neutral schema none of them currently produce.
Insurers pricing autonomous machine risk work from manufacturer spec sheets, not live operational data. No auditable performance record exists for underwriting at scale.
Without standardized Task Success Ratio, Autonomy Score, and TCO inputs across manufacturers, genuine return on investment cannot be calculated or compared.
The secondary market for autonomous machines cannot function without performance provenance. A robot with 1,250 documented operating hours is worth more than one without — but currently there is no record.
// The AM-ROI Formula
The Autonomous Machine ROI (AM-ROI) is the canonical MARS performance metric — the economic return generated by a robot relative to its full cost of ownership, normalised against human labour as the baseline comparison.
AM-ROI < 1.0 = below break-even ·
AM-ROI ≥ 1.4 = production threshold ·
AM-ROI ≥ 2.0 = strong return.
Full worked examples for Toyota TMMC (Agility Digit) and BMW Spartanburg (Figure 02 vs Atlas) in the methodology document.
Company names and deployment references are used for illustrative purposes only. Figures are estimates based on publicly available information. MARS is not affiliated with or endorsed by any manufacturer, operator, or insurer referenced herein.
// Schema v0.9
MARS defines a JSON Schema (draft-07) standard any robot can report against — regardless of manufacturer, integration path, or deployment environment. Every record carries a SHA-256 audit hash chain.
// Who MARS Is For
MARS Risk Score (MRS) is a direct actuarial input. Parametric SLA triggers automate claims. No more pricing AI risk from spec sheets.
Compare performance across manufacturers on identical metrics. Calculate genuine AM-ROI. Substantiate resale value with performance provenance.
Standardized SLA compliance reporting. Parametric triggers for automatic credit and refund. Auditable performance record for every contract.
Benchmark your robot against deployment-type standards. Identify performance gaps. Demonstrate improvement trajectory to enterprise customers.
First standardized method for modelling autonomous machine capex, depreciation, and ROI. Consistent framework across any fleet or manufacturer.
MARS v0.9 is a public draft actively seeking technical review. We explicitly invite challenge on benchmarks, formula weights, and methodology.
// Downloads
All MARS documents are published under Creative Commons Attribution 4.0. Free to use, adapt, and redistribute with attribution.
Complete JSON Schema draft-07 definition. 19 objects, all field types, validation constraints, and formula descriptions. Drop into any implementation.
Complete AM-ROI formula documentation, two worked examples (Toyota TMMC, BMW Spartanburg), insurance framework, depreciation model, and implementation guide.
Source schema, changelog, ROS2 SDK (coming Q2 2026), issue tracker for community feedback. Star the repo to follow v1.0 development.
// Contact
MARS v0.9 is a public draft. The benchmark values, formula weights, and methodology are explicitly open to challenge. If you are an actuary, robotics engineer, fleet operator, or standards professional and you see an error — we want to hear from you. That is how v1.0 gets built correctly.
Company names, manufacturers, and deployment references on this site are used for illustrative purposes only. All performance figures and financial estimates are based on publicly available information and are not verified by or affiliated with the referenced companies. MARS is an independent open standard. It is not affiliated with, sponsored by, or endorsed by BMW, Toyota, Figure AI, Agility Robotics, Boston Dynamics, Munich Re, or any other entity referenced herein. MARS v0.9 is a public draft. Nothing on this site constitutes financial, legal, or insurance advice.