curl
curl -L -O "https://augea.io/data/reports/retail-crypto-cost-benchmark-2026-q2/v1/country-rail-benchmark.csv"
Dataset · Versioned release · v1.1.0 · Edition 1 · Q2 2026
Retail Crypto Cost Benchmark · Dataset
Machine-readable benchmark files for editorial, research, and citation use. Pinned to a version so a citation today still resolves tomorrow — ready to drop into Pandas, R, JavaScript, or a shell pipeline.
Countries
10
matched card + bank
Assets / country
18
comparable
Files
5
21.8 KB total
License
CC-BY-4.0
attribution only
Dataset snapshot · Version lock
Study ID
retail-crypto-cost-benchmark-2026-q2
Version
v1.1.0
Window
Latest captured /cheapest snapshot (Q2 2026)
Data source
Live country summaries (card + bank)
Truth adapter
cheapest-country-summary-truth/v1
Pin v1.1.0 in citations so downstream readers resolve exactly this edition. Future editions will ship at new versioned URLs and will not rewrite this one.
Downloads
Benchmark pack
Full benchmark model, citation metadata, and claim boundaries.
JSON14.9 KBDownload →
Claim gate artifact
Headline validation artifact with gate inputs and fallback state.
JSON2.3 KBDownload →
Country × rail benchmark CSV
Median and dispersion metrics by country and rail.
CSV2.2 KBDownload →
Country card-vs-bank delta
Within-country median card-vs-bank gap metrics.
CSV1021 BDownload →
README
Version lock, citation text, and reuse guidance.
Markdown1.4 KBDownload →
Column dictionary
- country_iso2
- ISO alpha-2 country code.
- country_name
- Display country name.
- rail
- Payment rail: card or bank.
- median_pct
- Median total estimated cost percentage for the slice.
- range_low_pct / range_high_pct
- Observed low and high percentage range for tracked assets.
- lowest_asset_symbol
- Lowest tracked asset for the row.
- baseline_asset / baseline_amount_usd
- Baseline scenario used for the benchmark edition.
Preview: country × rail benchmark CSV
First 6 rows of 20, sorted by median cost (descending). Percentage columns formatted to 2 decimals.
| ISOcountry_iso2 | Countrycountry_name | Railrail | Assetscomparable_asset_count | Medianmedian_pct | Lowrange_low_pct | Highrange_high_pct | USD on $100median_usd_on_100 | Cheapest assetlowest_asset_symbol | Cheapest lowlowest_asset_low_pct | Cheapest highlowest_asset_high_pct | Baseline assetbaseline_asset | Baseline $baseline_amount_usd | window_labelwindow_label |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CA | Canada | card | 18 | 4.90% | 4.10% | 5.60% | $4.90 | BTC | 4.10% | 4.60% | BTC | 100 | Latest captured /cheapest snapshot (Q2 2026) |
| SG | Singapore | card | 18 | 2.30% | 1.90% | 2.60% | $2.30 | BTC | 1.90% | 2.20% | BTC | 100 | Latest captured /cheapest snapshot (Q2 2026) |
| AU | Australia | card | 18 | 2.10% | 1.60% | 2.80% | $2.10 | BTC | 1.60% | 1.80% | BTC | 100 | Latest captured /cheapest snapshot (Q2 2026) |
| US | United States | card | 18 | 2.10% | 1.70% | 2.60% | $2.10 | BTC | 1.70% | 1.90% | BTC | 100 | Latest captured /cheapest snapshot (Q2 2026) |
| DE | Germany | card | 18 | 1.50% | 1.20% | 1.70% | $1.50 | BTC | 1.20% | 1.40% | BTC | 100 | Latest captured /cheapest snapshot (Q2 2026) |
| FR | France | card | 18 | 1.50% | 1.20% | 1.70% | $1.50 | BTC | 1.20% | 1.40% | BTC | 100 | Latest captured /cheapest snapshot (Q2 2026) |
Use it in code
Four drop-in examples for loading the main country × rail CSV directly from its pinned URL. Swap the path to pull the delta CSV or JSON pack.
Python (pandas)
import pandas as pd url = "https://augea.io/data/reports/retail-crypto-cost-benchmark-2026-q2/v1/country-rail-benchmark.csv" df = pd.read_csv(url) print(df[["country_name", "rail", "median_pct"]].head())
JavaScript (fetch)
const res = await fetch(
"https://augea.io/data/reports/retail-crypto-cost-benchmark-2026-q2/v1/country-rail-benchmark.csv",
);
const csv = await res.text();
console.log(csv.split("\n").slice(0, 5));R (readr)
library(readr)
url <- "https://augea.io/data/reports/retail-crypto-cost-benchmark-2026-q2/v1/country-rail-benchmark.csv"
df <- read_csv(url)
print(head(df[c("country_name", "rail", "median_pct")]))Citation and reuse
Augea, The Retail Crypto Cost Gap — Country Benchmark (Q2 2026), https://augea.io/reports/retail-crypto-cost-benchmark-2026-q2, accessed [DATE].
Augea. (2026). Retail Crypto Cost Benchmark Data Appendix (Q2 2026). https://augea.io/data/reports/retail-crypto-cost-benchmark-2026-q2