Fintech
Fintech FX Rates Time-series (JSON)
Daily USD/EUR SAMPLE rates for FX chart and conversion tests.
- File
- JSON · Fintech
- Use case
- Time-series data / JSON parsing
Time-series edge fixtures
Irregular timestamps, DST gaps, and duplicate keys for time-series importers and charting libraries.
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18 test families · 24 available files · Page 1 of 1
Metrics
OTLP Metrics: Base-2 Exponential Histogram (json)
An exponential histogram at scale 3 (eight buckets per power of two) with a negative offset, a zero bucket and its threshold. Bucket i covers (base^(offset+i), base^(offset+i+1)], and getting that indexing wrong silently
- File
- JSON · Metrics
- Use case
- Observability / JSON parsing
Metrics
Prometheus Exposition: Cumulative Histogram (prom)
A classic Prometheus histogram: eleven finite le buckets plus +Inf, with monotonically non-decreasing cumulative counts and matching _sum and _count series. The fixture for bucket ordering, cumulative arithmetic and hist
- File
- PROM · Metrics
- Use case
- Observability / Time-series data
Logs
Structured Log: Out-of-Order Timestamps (jsonl)
Records whose ts field moves backwards seven times while emitted_seq stays monotonic: what a buffered shipper produces when several workers flush concurrently. The fixture for sort-on-ingest, late-arrival windows and any
- File
- JSONL · Logs
- Use case
- Observability / Log parsing
Timeseries
Time-series: Business Hours
Hourly order counts weekdays only (09–16 UTC) across three SAMPLE days.
- File
- CSV · Timeseries · 24 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: DST Fall Back Duplicate Hour (CSV)
Load readings with a repeated 01:00 local hour on fall-back DST. Tests ambiguous timestamp handling.
- File
- CSV · Timeseries · 5 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: DST Spring Forward Gap (CSV)
Hourly load data skipping the 03:00 hour on DST spring-forward day. Tests timezone/DST gap handling.
- File
- CSV · Timeseries · 4 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Duplicate Timestamp Keys (CSV)
Two rows share the same timestamp key. Tests deduplication and last-write-wins policies.
- File
- CSV · Timeseries · 3 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Epoch Boundary
Timestamps at Unix epoch and classic 32-bit Y2038 boundary.
- File
- JSON · Timeseries · 2 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Gap Filled
Series with an explicit null value at a missing sample point.
- File
- CSV · Timeseries · 3 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Irregular Intervals (CSV)
Sensor readings at irregular minute gaps. Tests time-series resampling and gap detection.
- File
- CSV · Timeseries · 8 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Leap Day
Readings spanning Feb 29 leap day: calendar edge case.
- File
- CSV · Timeseries · 2 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Millisecond
Sub-second millisecond timestamps for precision parsing tests.
- File
- JSON · Timeseries · 2 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Mixed Tz
Same nominal instant expressed in Z, -05:00, and +09:00 offsets.
- File
- JSON · Timeseries · 3 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Nan Gaps
CSV with NaN string and empty cells representing missing measurements.
- File
- CSV · Timeseries · 3 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Out Of Order
Timestamps out of chronological order. Tests sort-on-ingest behaviour.
- File
- CSV · Timeseries · 3 rows
- Use case
- Time-series data / Data import
Timeseries
Time-series: Sparse Events (JSONL)
Sparse event log in JSON Lines: two events hours apart for event-stream ingestion tests.
- File
- JSONL · Timeseries · 2 records
- Use case
- Time-series data / Data import
Timeseries
Time-series: Weekly Agg
Pre-aggregated weekly totals JSON for rollup/chart tests.
- File
- JSON · Timeseries · 1 row
- Use case
- Time-series data / Data import