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Dataset Drift Monitor

Pricing

from $0.60 / report generated

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Dataset Drift Monitor

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

Rating

0.0

(0)

Developer

Checksmith Cats

Checksmith Cats

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

17 days ago

Last modified

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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 report
  • dataset-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