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Metadata Completeness Duplicate Key Report + Trailing Mean Series
x402
Metadata Completeness Duplicate Key Report + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Analyzes metadata completeness records (present_fields, expected_fields) to produce a duplicate key report and a trailing mean series for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series for supplied metadata completeness records (present_fields, expected_fields). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a duplicate key report identifying any rows sharing the same key within the supplied dataset, and (2) a trailing mean series computed over the specified field (present_fields or expected_fields) using the given sliding window size. Both reports are derived locally from the supplied data with no external lookups.
Example use cases
Detect duplicate metadata record IDs
“I've got a batch of 50 metadata completeness records across several site groups and I want to know if any row_ids are duplicated. Can you run a duplicate key report on them using present_fields as the target field with a window of 2?”
Track rolling coverage trends over time
“Can you compute a trailing mean series with a window of 5 for the expected_fields column across my 120 metadata completeness rows, grouped by site and dated from 2026-01-01 onward? I also want the duplicate key report included.”
QA metadata ingestion pipeline output
“We just ingested a week of metadata completeness logs — 80 rows across three site groups — and I need to check for duplicate keys and see a rolling 3-day mean on present_fields to spot any anomalies before we archive them.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key detection report and a trailing moving average series computed together on metadata completeness data (present_fields and expected_fields) for up to 200 rows in a single low-cost call. It is ideal for data quality pipelines that track field coverage over time and need quick local analytics without any external data lookups or live predictions.
Side effects
- Empty or missing rows array returns an error
- row_id or date fields missing or malformed cause validation failure
- Window size outside 2–200 range is rejected
- More than 200 rows submitted exceeds the limit and is rejected
- Non-numeric values in present_fields or expected_fields cause computation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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