Marble
by Marble · Open-source fraud and AML monitoring, self-hosted or SaaS
BenchRank score
Screenshots of Marble
Homepage
Overview
Marble is a fraud and AML platform for banks, fintechs and crypto exchanges. It ingests data in a custom model that mirrors your own, runs real-time and post-trade decisioning against no-code rules and scenarios, and screens customers, counterparties and payments against sanctions, PEP and adverse media lists. Alerts feed a case manager with workflows, audit trails and analytics.
- Best for
- Banks, fintechs and crypto platforms that want customisable fraud and AML monitoring they can self-host
- Pricing
- No figures are published: the open-source self-hosted tier is free, and the Starter and Enterprise plans are priced on request.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Open-source core, deployable self-hosted or as SaaS
- No-code rule builder for custom monitoring scenarios
- Custom data model ingests your data without transformation
- Screening, case management and reporting in one platform
Trade-offs
- No published prices; Starter and Enterprise are quoted on request
- AI automations sit on Enterprise, and Starter is SaaS-only
- AI Agent for Optimization is listed as coming soon
- Open-source licence bars running a managed service for third parties
How Marble markets itself
A structured read of the promise, proof and page design on Marble’s captured homepage.
Homepage capture
“AI-Powered Fraud & Compliance Automation”
- Angle: AI-native
- Hero: Product screenshot
Pricing
Published plans and prices from Marble’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Marble pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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