Evidence behind crypto bot products and marketing
Riven Trust investigates who operates each product, how architecture changes credential and custody risk, and whether material claims can be supported. This hub organizes stable studies, public data, methodology and updates.
Research publications
Candidate Verification Research
Entity-level identity, operator, domain, regulatory and claim-verification profiles for 68 candidates kept outside the scored product dataset.
Candidate studyCrypto Automation Candidate Verification Study
Aggregate findings and cross-candidate analysis across 68 investigated entities.
Dataset studyCrypto Bot Security Study
Product-level API authority, withdrawal controls, security documentation, audit evidence and architecture.
Dataset studyCrypto Bot Transparency Study
Product-level operator, registration, team, pricing, regulatory and security disclosure.
Dataset studyCrypto Bot Marketing Claims Study
Claim-level verification outcomes across security, performance, scale, features and pricing.
Research resourceSecurity architecture research
Product-by-product credential, custody, withdrawal and execution boundaries.
Research resourceClaim verification findings
Every current structured claim with status, conclusion, review date and source.
Research resourceResearch updates
Material editorial changes derived from product research changelogs.
Research resourcePublic research dataset
Field documentation, limitations, version history and static CSV/JSON downloads.
Three denominators, three different questions
54 products support product-level architecture, security and transparency statistics. 168 claims support claim-verification distributions. 328 source records document evidence locations; more URLs do not automatically mean stronger or more independent research.
Recently updated research
Ordered from structured research-change dates, never git commits or build timestamps.
Methods and accountability
Scores and findings follow published rules for evidence authority, uncertainty, corrections and commercial independence.
Rating methodology Research workflow Corrections and responsesEducational research
Guides explain architecture and risk using examples from the current product dataset.
Copy trading vs trading bots Exchange-native vs third-party crypto bots TradingView crypto trading automation Institutional crypto trading automation explained