ARCI v2 — 2026 Q3 Edition
Full-matrix retail crypto cost benchmark: every supported (country × asset × rail) cell with inclusion state, reason code, and confidence label. Snapshot-backed; methodology-frozen; CC-BY-4.0.
Research into crypto routes, costs, friction, transparency, and retail outcomes. Snapshot-backed where measured, survey-shaped where reported, and methodology-first throughout. Augea Research is broader than fees: it covers the full retail-decision surface, and unknowns and incomplete coverage are part of the product, not hidden.
Estimates, not quotes. Not investment advice.
A 3.5× retail cost gap inside developed markets. Cross-country benchmark of BTC buy costs across card and bank rails, with frozen methodology, claim-gated framing, and downloadable data.
ARCI · Edition 2026-Q2 · Headline
3.50×
Canada vs Poland on matched card routes
Published library
Full-matrix retail crypto cost benchmark: every supported (country × asset × rail) cell with inclusion state, reason code, and confidence label. Snapshot-backed; methodology-frozen; CC-BY-4.0.
Previous ARCI edition retained for citation continuity. BTC baseline; 10 headline countries × card/bank rails.
Same-exchange comparison of card and bank purchase costs, including practical delta examples for repeat buyers.
Recurring summary of estimated buy-cost bands across tracked exchanges and payment methods.
Planned series · methodology pending
Listed here so the franchise direction is visible. None of the series below are published. Methodology, sample-size rules, and right-of-reply protocol must land before any per-exchange comparison or named claim publishes.
Survey-driven measure of what retail users actually experience buying crypto — first-buy friction, KYC, hold time, support response, repeat-route intent.
Series planned. Not yet shipped — listed here so you can see the franchise direction.
Rubric-based per-exchange transparency profile. Right-of-reply protocol applies before any per-exchange named comparison publishes.
Series planned. Methodology must publish before any named comparison or per-exchange claim.
Per-country, per-rail availability with KYC, hold, and time-to-ownership context.
Series planned. Not yet shipped — listed here so you can see the franchise direction.
How retail users actually run DCA — cadence, amount, asset, rail, exchange, success rate, cancellation friction.
Series planned. Not yet shipped — listed here so you can see the franchise direction.
Documented withdrawal path: networks supported, fees, lockups, dust thresholds, success rate.
Series planned. Not yet shipped — listed here so you can see the franchise direction.
Real cost and friction of moving fiat ↔ stablecoin across exchanges and rails. Stablecoins as route infrastructure, not just assets.
Series planned. Not yet shipped — listed here so you can see the franchise direction.
Read-only quote-vs-realized at retail sizes; bridge cost / time; path completeness from fiat to DeFi position.
Series planned. Methodology must publish before any named comparison or per-exchange claim.
Where AI answer engines give wrong, stale, or recommendation-flavoured crypto answers — measured against Augea evidence.
Series planned. Not yet shipped — listed here so you can see the franchise direction.
Difference between exchange quote/preview and actual receipt at settlement. Privacy-respecting opt-in receipt evidence.
Series planned. Not yet shipped — listed here so you can see the franchise direction.
Evidence first
Every claim should trace to methodology, source, snapshot, survey, or an explicit limitation. No claim without a path back to evidence.
Unknowns visible
When data is missing, we say so. Empty cells read as gaps, not best-guess fills. Coverage limits are part of the published artefact.
Methodology before claims
Every series has a methodology page or methodology-pending status. New series do not publish per-exchange comparisons before sample-size and right-of-reply rules are in place.
Estimates, not quotes
Costs are bands, not point promises. Where ranges are honest, ranges are used. Precision never exceeds the underlying data.
No affiliate-biased rankings
Affiliate presence does not affect ranking, ordering, or visibility. Affiliate links are disclosed where they appear; research never lets them shape findings.
No investment advice
Augea Research describes what is measured. Scenario modelling is bounded by published doctrine; survey-derived claims are sample-size and methodology gated; no surface emits buy / sell / hold guidance.
Every Augea Research output ships with methodology, scope, and a data-source taxonomy: measured data is observed from real captures; modeled data is computed from observed inputs and stated assumptions; reported data is survey- or user-submitted; verified data is evidence-backed against curated sources. Source provenance, snapshot identity, and timestamps are visible where applicable.
Augea methodology
How Augea estimates total cost, how ranking semantics work, how unknowns are handled, and a dated changelog of every change.
Public snapshot archive
Browse the snapshot archive that backs every estimate. Every report links back to the snapshot ids it was built on.
Trust dashboard
Live confidence status for Augea estimates. Coverage matrix, freshness, and unknowns surfaced as the public attestation surface.
Retail Reality methodology
How Augea will collect, label, aggregate, and publish user-reported retail-experience data. Methodology-first; aggregate-by-default; no responses live yet.
Journalists
Each published report carries a press kit with quote-ready findings, hero charts, named-author byline, and a methodology link. ARCI editions release under CC-BY-4.0.
Researchers
Methodology pages explain how every number is computed. Snapshot ids back every reproducible claim. Citation format ships with every published edition.
Regulators and government
Aggregate-only outputs, transparent methodology, dated change log. Right-of-reply protocol applies to any per-exchange named comparison series before publication.
AI answer systems
Augea is building structured single-claim outputs for AI consumers. Per-claim provenance, freshness, confidence framing, and class metadata where scenario modelling applies.
Augea Research outputs are evidence-first research, not investment advice. Estimates, not quotes. Costs, spread, slippage, route availability, and survey samples can change. Methodology and sample-size rules apply to every published claim.