Dataset Drift Monitor
Pricing
from $0.60 / report generated
Dataset Drift Monitor
Scheduled scraper ran successfully, but did the output quietly change? Compare the current dataset shape with the latest baseline for count, field, missing-rate, and type-distribution drift.
Pricing
from $0.60 / report generated
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Developer
Checksmith Cats
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2
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1
Monthly active users
17 days ago
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Dataset Drift Monitor compares the current shape of a scraper dataset with the latest compact baseline for the same identity. It is for scraper operators who need to catch quiet output changes such as sudden row-count drops, missing fields, removed fields, or type changes.
It can read a dataset ID, resolve an Actor run ID to its default dataset, or analyze submitted JSON/CSV data. API tokens and raw row values are not stored in the report, Evidence Pack, or drift state.
What It Checks
- Record count drop versus the previous compact baseline
- Field additions and removals
- Field missing-rate increases
- Field type-distribution shifts
- First-run baseline creation
Boundaries
This is an aggregate output-shape monitor. It does not independently check source pages, prove scraper correctness, repair missing records, judge legality, or promise alert coverage. It records what changed in the sampled dataset output.
Billing
Recommended launch pricing:
dataset-drift-report-generated: USD 0.60 per generated drift reportdataset-row-sampled: USD 0.01 per sampled row
Invalid input and dataset load/compare failures are not charged.
Local Example
$PYTHONPATH=src python -m apify_dataset_drift_monitor.cli examples/sample-input.json --json report.json --md report.md


