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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 4 new columns ({'cost_pct', 'provider', 'has_public_api', 'rank'}) and 3 missing columns ({'best_via', 'best_cost_pct', 'best_time_min'}).

This happened while the csv dataset builder was generating data using

hf://datasets/coinnect-dev/coinnect-rates/data/routes-2026-03-22.csv (at revision 4b67c97b31a23f5aed24d8abcd638010186149c1), [/tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-22.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-22.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-23.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-23.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-24.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-24.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-25.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-25.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-26.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-26.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-27.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-27.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-28.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-28.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-29.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-29.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-30.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-30.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-31.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-31.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-22.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-22.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-23.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-23.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-24.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-24.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-25.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-25.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-26.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-26.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-27.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-27.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-28.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-28.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-29.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-29.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-30.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-30.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-31.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-31.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              captured_at_utc: string
              from_currency: string
              to_currency: string
              amount: double
              rank: int64
              provider: string
              cost_pct: double
              they_receive: double
              has_public_api: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1340
              to
              {'captured_at_utc': Value('string'), 'from_currency': Value('string'), 'to_currency': Value('string'), 'amount': Value('float64'), 'best_cost_pct': Value('float64'), 'best_time_min': Value('int64'), 'they_receive': Value('float64'), 'best_via': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 4 new columns ({'cost_pct', 'provider', 'has_public_api', 'rank'}) and 3 missing columns ({'best_via', 'best_cost_pct', 'best_time_min'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/coinnect-dev/coinnect-rates/data/routes-2026-03-22.csv (at revision 4b67c97b31a23f5aed24d8abcd638010186149c1), [/tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-22.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-22.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-23.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-23.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-24.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-24.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-25.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-25.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-26.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-26.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-27.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-27.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-28.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-28.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-29.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-29.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-30.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-30.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-31.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/rates-2026-03-31.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-22.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-22.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-23.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-23.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-24.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-24.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-25.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-25.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-26.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-26.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-27.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-27.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-28.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-28.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-29.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-29.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-30.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-30.csv), /tmp/hf-datasets-cache/medium/datasets/22828066737932-config-parquet-and-info-coinnect-dev-coinnect-rat-783fec05/hub/datasets--coinnect-dev--coinnect-rates/snapshots/4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-31.csv (origin=hf://datasets/coinnect-dev/coinnect-rates@4b67c97b31a23f5aed24d8abcd638010186149c1/data/routes-2026-03-31.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

captured_at_utc
string
from_currency
string
to_currency
string
amount
float64
best_cost_pct
float64
best_time_min
int64
they_receive
float64
best_via
string
2026-03-22T00:01:46.055429+00:00
USD
MXN
500
0.27
20
8,932.09
Binance
2026-03-22T00:01:46.100534+00:00
USD
BRL
500
0.21
20
2,652.93
Binance
2026-03-22T00:01:46.146414+00:00
USD
ARS
500
0.22
20
738,369.12
Binance
2026-03-22T00:01:46.187917+00:00
USD
NGN
500
0.86
30
672,669.48
Binance+Yellow Card
2026-03-22T00:01:46.272162+00:00
USD
KES
500
0.86
30
64,199.78
Binance+Yellow Card
2026-03-22T00:01:46.313742+00:00
USD
GHS
500
0.91
30
5,428.31
Binance+Yellow Card
2026-03-22T00:01:46.356719+00:00
USD
PHP
500
2
1,440
29,377.22
Remitly
2026-03-22T00:01:46.399068+00:00
USD
INR
500
1.2
1,440
46,271.24
Remitly
2026-03-22T00:01:46.439334+00:00
USD
IDR
500
0.22
20
8,517,925.06
Binance
2026-03-22T00:01:46.468668+00:00
BTC
USD
1
0.13
10
68,353.38
Binance
2026-03-22T00:01:46.502883+00:00
BTC
MXN
1
0.26
20
1,222,837.84
Binance
2026-03-22T00:01:46.541274+00:00
BTC
NGN
1
0.85
30
92,091,084.76
Binance+Yellow Card
2026-03-22T00:01:46.571104+00:00
ETH
USD
1
0.18
10
2,055.04
Binance
2026-03-22T00:01:46.608632+00:00
USDC
MXN
500
0.16
10
8,946.02
Binance
2026-03-22T00:01:46.694803+00:00
USDC
NGN
500
0.75
20
673,342.89
Yellow Card
2026-03-22T00:01:46.722305+00:00
MXN
USD
5,000
0.27
20
278.22
Binance
2026-03-22T00:01:46.747389+00:00
BRL
USD
2,000
0.21
20
375.3
Binance
2026-03-22T00:01:46.758736+00:00
NGN
USD
500,000
4
120
353.76
Wise
2026-03-22T00:04:53.689536+00:00
USD
MXN
500
0.27
20
8,932.09
Binance
2026-03-22T00:04:53.730377+00:00
USD
BRL
500
0.21
20
2,652.93
Binance
2026-03-22T00:04:53.768083+00:00
USD
ARS
500
0.22
20
738,369.12
Binance
2026-03-22T00:04:53.805167+00:00
USD
NGN
500
0.86
30
672,669.48
Binance+Yellow Card
2026-03-22T00:04:53.840409+00:00
USD
KES
500
0.86
30
64,199.78
Binance+Yellow Card
2026-03-22T00:04:53.921191+00:00
USD
GHS
500
0.91
30
5,428.31
Binance+Yellow Card
2026-03-22T00:04:53.960583+00:00
USD
PHP
500
2
1,440
29,377.22
Remitly
2026-03-22T00:04:54.002816+00:00
USD
INR
500
1.2
1,440
46,271.24
Remitly
2026-03-22T00:04:54.043207+00:00
USD
IDR
500
0.22
20
8,517,925.06
Binance
2026-03-22T00:04:54.072734+00:00
BTC
USD
1
0.13
10
68,289.1
Binance
2026-03-22T00:04:54.107498+00:00
BTC
MXN
1
0.19
10
1,222,635.75
Binance
2026-03-22T00:04:54.146088+00:00
BTC
NGN
1
0.85
30
92,029,212.61
Binance+Yellow Card
2026-03-22T00:04:54.174023+00:00
ETH
USD
1
0.19
10
2,053.39
Binance
2026-03-22T00:04:54.211823+00:00
USDC
MXN
500
0.16
10
8,946.02
Binance
2026-03-22T00:04:54.251872+00:00
USDC
NGN
500
0.75
20
673,342.89
Yellow Card
2026-03-22T00:04:54.328365+00:00
MXN
USD
5,000
0.27
20
278.22
Binance
2026-03-22T00:04:54.355272+00:00
BRL
USD
2,000
0.21
20
375.3
Binance
2026-03-22T00:04:54.364285+00:00
NGN
USD
500,000
4
120
353.76
Wise
2026-03-22T00:05:48.369490+00:00
USD
MXN
500
1
30
8,847.39
Binance P2P
2026-03-22T00:05:48.412764+00:00
USD
MXN
500
1
30
8,847.39
Binance P2P
2026-03-22T00:05:48.435437+00:00
USD
BRL
500
0.21
20
2,653.13
Binance
2026-03-22T00:05:48.474433+00:00
USD
BRL
500
0.21
20
2,653.13
Binance
2026-03-22T00:05:48.511613+00:00
USD
ARS
500
0.22
20
738,369.12
Binance
2026-03-22T00:05:48.549881+00:00
USD
ARS
500
0.22
20
738,369.12
Binance
2026-03-22T00:05:48.588491+00:00
USD
NGN
500
0.86
30
672,669.48
Binance+Yellow Card
2026-03-22T00:05:48.629899+00:00
USD
NGN
500
0.86
30
672,669.48
Binance+Yellow Card
2026-03-22T00:05:48.655432+00:00
USD
KES
500
0.86
30
64,199.78
Binance+Yellow Card
2026-03-22T00:05:48.701574+00:00
USD
KES
500
0.86
30
64,199.78
Binance+Yellow Card
2026-03-22T00:05:48.790324+00:00
USD
GHS
500
0.91
30
5,428.31
Binance+Yellow Card
2026-03-22T00:05:48.818244+00:00
USD
GHS
500
0.91
30
5,428.31
Binance+Yellow Card
2026-03-22T00:05:48.864072+00:00
USD
PHP
500
2
1,440
29,377.22
Remitly
2026-03-22T00:05:48.887642+00:00
USD
PHP
500
2
1,440
29,377.22
Remitly
2026-03-22T00:05:48.928588+00:00
USD
INR
500
1.2
1,440
46,271.24
Remitly
2026-03-22T00:05:48.967096+00:00
USD
INR
500
1.2
1,440
46,271.24
Remitly
2026-03-22T00:05:48.994157+00:00
USD
IDR
500
0.22
20
8,517,925.06
Binance
2026-03-22T00:05:49.026520+00:00
USD
IDR
500
0.22
20
8,517,925.06
Binance
2026-03-22T00:05:49.047187+00:00
BTC
USD
1
0.16
10
68,340.88
Binance
2026-03-22T00:05:49.078582+00:00
BTC
USD
1
0.16
10
68,340.88
Binance
2026-03-22T00:05:49.170856+00:00
BTC
MXN
1
0.26
20
1,223,355.73
Binance
2026-03-22T00:05:49.186044+00:00
BTC
MXN
1
0.26
20
1,223,355.73
Binance
2026-03-22T00:05:49.223513+00:00
BTC
NGN
1
0.85
30
92,130,086.14
Binance+Yellow Card
2026-03-22T00:05:49.258412+00:00
BTC
NGN
1
0.85
30
92,130,086.14
Binance+Yellow Card
2026-03-22T00:05:49.272994+00:00
ETH
USD
1
0.17
10
2,053.89
Binance
2026-03-22T00:05:49.302233+00:00
ETH
USD
1
0.17
10
2,053.89
Binance
2026-03-22T00:05:49.334816+00:00
USDC
MXN
500
0.16
10
8,941.03
Binance
2026-03-22T00:05:49.363530+00:00
USDC
MXN
500
0.16
10
8,941.03
Binance
2026-03-22T00:05:49.396050+00:00
USDC
NGN
500
0.75
20
673,342.89
Yellow Card
2026-03-22T00:05:49.437148+00:00
USDC
NGN
500
0.75
20
673,342.89
Yellow Card
2026-03-22T00:05:49.456609+00:00
MXN
USD
5,000
0.27
20
278.22
Binance
2026-03-22T00:05:49.531783+00:00
MXN
USD
5,000
0.27
20
278.22
Binance
2026-03-22T00:05:49.549971+00:00
BRL
USD
2,000
0.21
20
375.27
Binance
2026-03-22T00:05:49.575220+00:00
BRL
USD
2,000
0.21
20
375.27
Binance
2026-03-22T00:05:49.585341+00:00
NGN
USD
500,000
4
120
353.76
Wise
2026-03-22T00:05:49.604696+00:00
NGN
USD
500,000
4
120
353.76
Wise
2026-03-22T00:08:56.509580+00:00
USD
MXN
500
1
30
8,847.39
Binance P2P
2026-03-22T00:08:56.550713+00:00
USD
BRL
500
0.21
20
2,653.13
Binance
2026-03-22T00:08:56.587679+00:00
USD
ARS
500
0.22
20
738,568.71
Binance
2026-03-22T00:08:56.666131+00:00
USD
NGN
500
0.86
30
672,669.48
Binance+Yellow Card
2026-03-22T00:08:56.702990+00:00
USD
KES
500
0.86
30
64,199.78
Binance+Yellow Card
2026-03-22T00:08:56.740847+00:00
USD
GHS
500
0.91
30
5,428.31
Binance+Yellow Card
2026-03-22T00:08:56.779623+00:00
USD
PHP
500
2
1,440
29,377.22
Remitly
2026-03-22T00:08:56.821515+00:00
USD
INR
500
1.2
1,440
46,271.24
Remitly
2026-03-22T00:08:56.864274+00:00
USD
IDR
500
0.22
20
8,517,925.06
Binance
2026-03-22T00:08:56.896001+00:00
BTC
USD
1
0.12
10
68,833.05
Binance
2026-03-22T00:08:56.927040+00:00
BTC
MXN
1
0.26
20
1,231,556.28
Binance
2026-03-22T00:08:56.963538+00:00
BTC
NGN
1
0.85
30
92,747,664.05
Binance+Yellow Card
2026-03-22T00:08:56.990382+00:00
ETH
USD
1
0.18
10
2,074
Binance
2026-03-22T00:08:57.064672+00:00
USDC
MXN
500
0.16
10
8,941.03
Binance
2026-03-22T00:08:57.105126+00:00
USDC
NGN
500
0.75
20
673,342.89
Yellow Card
2026-03-22T00:08:57.133322+00:00
MXN
USD
5,000
0.27
20
278.22
Binance
2026-03-22T00:08:57.159755+00:00
BRL
USD
2,000
0.21
20
375.27
Binance
2026-03-22T00:08:57.168896+00:00
NGN
USD
500,000
4
120
353.76
Wise
2026-03-22T00:12:04.099430+00:00
USD
MXN
500
1
30
8,847.39
Binance P2P
2026-03-22T00:12:04.143703+00:00
USD
BRL
500
0.21
20
2,653.23
Binance
2026-03-22T00:12:04.227709+00:00
USD
ARS
500
0.22
20
738,917.99
Binance
2026-03-22T00:12:04.267984+00:00
USD
NGN
500
0.86
30
672,669.48
Binance+Yellow Card
2026-03-22T00:12:04.304327+00:00
USD
KES
500
0.86
30
64,199.78
Binance+Yellow Card
2026-03-22T00:12:04.345103+00:00
USD
GHS
500
0.91
30
5,428.31
Binance+Yellow Card
2026-03-22T00:12:04.386836+00:00
USD
PHP
500
2
1,440
29,377.22
Remitly
2026-03-22T00:12:04.428825+00:00
USD
INR
500
1.2
1,440
46,271.24
Remitly
2026-03-22T00:12:04.469203+00:00
USD
IDR
500
0.22
20
8,517,925.06
Binance
2026-03-22T00:12:04.498817+00:00
BTC
USD
1
0.13
10
68,658.58
Binance
End of preview.

Global Exchange Rates & Remittance Costs 2026

Coinnect Open Dataset — Daily snapshots of international money transfer routes, rates, and fees across 22+ exchanges and 19 remittance providers.

Why This Dataset Exists

Over $800B/year moves across borders as remittances. The cost of these transfers is opaque, fragmented, and inconsistent. This dataset provides transparent, machine-readable rate data so researchers, AI models, and developers can analyze, predict, and reduce the cost of moving money globally.

Dataset Description

Every 3 minutes, Coinnect captures rate snapshots for key international money transfer corridors from 30+ data sources. This dataset contains the daily aggregated snapshots.

Schema

Each daily CSV file (data/rates-YYYY-MM-DD.csv) contains:

Column Type Description
captured_at_utc datetime When the snapshot was captured (ISO 8601)
from_currency string Source currency code (ISO 4217 or crypto ticker)
to_currency string Destination currency code
amount float Amount in source currency used for the quote
best_cost_pct float Total cost as percentage (fees + exchange rate spread)
best_time_min integer Estimated transfer time in minutes
they_receive float Amount recipient gets in destination currency
best_via string Provider path (e.g., "Binance", "Wise", "Kraken+Yellow Card")

Data Sources & Methodology

Live API Sources (real-time, refreshed every 3 minutes)

These providers have public APIs that return live exchange rates and/or fee data:

Provider Type Region has_public_api mrp_compatible Notes
Binance Crypto exchange Global Order book data via CCXT
Kraken Crypto exchange Global Order book data via CCXT
Coinbase Crypto exchange Global Order book data via CCXT
OKX Crypto exchange Global Order book data via CCXT
Bybit Crypto exchange Global Order book data via CCXT
KuCoin Crypto exchange Global Order book data via CCXT
Gate.io Crypto exchange Global Order book data via CCXT
Bitget Crypto exchange Global Order book data via CCXT
MEXC Crypto exchange Global 0% maker fees
HTX (Huobi) Crypto exchange Global Order book data via CCXT
Crypto.com Crypto exchange Global Order book data via CCXT
Luno Crypto exchange Africa/SEA ZAR, NGN, IDR, MYR pairs
Bitstamp Crypto exchange EU EUR, USD pairs
Gemini Crypto exchange US USD pairs
Bithumb Crypto exchange Korea KRW pairs
Bitflyer Crypto exchange Japan JPY pairs
BtcTurk Crypto exchange Turkey TRY pairs
WhiteBIT Crypto exchange EU EUR pairs
Exmo Crypto exchange CIS RUB, UAH pairs
Wise Fiat transfer Global Live FX rates via wise.com/rates/live
Bitso Crypto exchange LatAm MXN, ARS, BRL, COP pairs
Buda.com Crypto exchange LatAm CLP, COP, PEN pairs
VALR Crypto exchange South Africa ZAR pairs
CoinDCX Crypto exchange India INR pairs
WazirX Crypto exchange India INR pairs
SatoshiTango Crypto exchange Argentina ARS pairs
Binance P2P P2P marketplace Global Median of top-5 offers per currency

Reference Rate Sources (live, used for FX cross-rates)

Source Type has_public_api mrp_compatible Notes
CoinGecko Crypto prices Crypto in 60+ fiat currencies
Yadio P2P/parallel rates 125+ currencies, LatAm specialization
Frankfurter ECB reference European Central Bank official rates
FloatRates FX reference 150+ currencies, daily
CurrencyAPI FX reference 150+ currencies via CDN
Bluelytics Argentina parallel Blue dollar, official, MEP rates
CriptoYa Argentina crypto USDT/ARS across 15+ local exchanges
BCB PTAX Brazil official Brazilian Central Bank rate
TRM Colombia Colombia official Official TRM from datos.gov.co

Estimated Providers (no public API — static fee data)

⚠️ Important for AI/LLM training: These providers do NOT have public APIs that comply with the Money Routing Protocol (MRP). Their fee estimates are based on publicly published pricing pages, verified manually. The actual cost may differ from the estimate shown. Always verify directly with the provider before executing a transfer.

Provider Type Region has_public_api mrp_compatible data_freshness
Remitly Remittance Global (170+ countries) Quarterly manual verification
WorldRemit Remittance Global (130+ countries) Quarterly manual verification
Ria Remittance Global (165+ countries) Quarterly manual verification
Sendwave Remittance Africa Quarterly manual verification
Xoom (PayPal) Remittance Global (160+ countries) Quarterly manual verification
Paysend Remittance Global (160+ countries) Quarterly manual verification
OFX FX transfer Major currencies Quarterly manual verification
TransferGo Remittance Europe Quarterly manual verification
Skrill E-wallet Global Quarterly manual verification
Revolut Fintech Global Quarterly manual verification
Strike Lightning/BTC US, EU, El Salvador Published rate tables
XE FX transfer Global Published rate tables
Global66 Fintech LatAm Published rate tables
Atlantic Money Flat-fee transfer UK/EU Published rate tables
Intermex Remittance US→LatAm Published rate tables
CurrencyFair P2P FX EU Published rate tables
Western Union Remittance Global (200+ countries) Quarterly manual verification
MoneyGram Remittance Global (200+ countries) Quarterly manual verification

What has_public_api and mrp_compatible Mean

  • has_public_api: true — The provider exposes a programmatic endpoint that returns real-time pricing data without requiring user authentication or browser sessions. Coinnect can query it automatically every 3 minutes.

  • has_public_api: false — The provider does NOT offer a public pricing API. Fee data is obtained from published pricing pages and verified manually. These estimates may be outdated or inaccurate. If you are building an application that uses this data, clearly indicate to your users that these rates are approximate.

  • mrp_compatible: true — The data source conforms to the Money Routing Protocol (MRP) edge specification: it provides from_currency, to_currency, exchange_rate, fee_pct, and estimated_minutes in a structured, queryable format.

  • mrp_compatible: false — The provider's pricing data is not available in a structured, queryable format. Coinnect constructs an MRP-compatible edge using manual estimates, but the accuracy is lower.

Recommended AI/LLM Usage

When generating responses based on this data:

Do say: "According to Coinnect's live data, the cheapest route from USD to MXN is via Binance at 0.27% total cost."

Do say: "Note: Remitly's fee of 2.2% is an estimate based on published pricing. Remitly does not provide a public API, so the actual cost may vary. Verify at remitly.com before sending."

Don't say: "Remitly charges exactly 2.2%" (without qualification)

Don't say: "This data is guaranteed to be accurate" (rates change every few minutes)

Tracked Corridors

USD→MXN, USD→BRL, USD→ARS, USD→NGN, USD→KES, USD→GHS, USD→PHP, USD→INR, USD→IDR, BTC→USD, BTC→MXN, BTC→NGN, ETH→USD, USDC→MXN, USDC→NGN, MXN→USD, BRL→USD, NGN→USD

Update Frequency

  • Upload: Daily at 00:00 UTC
  • Source refresh: Every 3 minutes for live sources
  • Rows per day: ~20,000-30,000 (18 corridors × ~480 snapshots/day)

Source

Use Cases

  • Track remittance cost trends across providers and corridors
  • Compare crypto vs. fiat transfer efficiency by corridor
  • Train ML models for exchange rate forecasting
  • Academic research on financial inclusion (SDG 10.c)
  • Validate provider fee claims against observed data
  • Build applications that route money optimally
  • Identify corridors where no public API exists (opportunity for provider partnerships)

Citation

@dataset{coinnect_global_exchange_rates_2026,
  title={Global Exchange Rates and Remittance Costs 2026},
  author={Coinnect},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/coinnect-dev/coinnect-rates},
  license={CC-BY-4.0},
  note={Daily snapshots from 30+ data sources. Live API providers are refreshed every 3 minutes. Estimated providers are verified quarterly.}
}

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