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Data Collection Completeness — Exact Row Deduplication + Trailing Mean Series
x402
Data Collection Completeness — Exact Row Deduplication + 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).
Performs exact row deduplication and trailing mean series computation on up to 200 data collection completeness records containing observed and expected values, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data collection completeness — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series for supplied data collection completeness records (observed_values, expected_values). 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 analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the input dataset, and (2) a trailing mean series computed over the selected numeric field (observed_values or expected_values) using the specified rolling window size, both derived locally from the supplied rows without any external data lookup.
Example use cases
Deduplicating education completeness records
“I've got 80 rows of daily data collection completeness records for my course groups with observed and expected values — please deduplicate exact duplicate rows and give me a trailing mean series over observed_values using a window of 5.”
Smoothing expected value trends by course group
“Can you run a trailing mean series with a window of 10 over the expected_values field in my 120-row completeness dataset, and also remove any duplicate rows before doing so?”
Auditing submission completeness data quality
“I need to clean up my data collection completeness log — it has 200 rows with observed and expected submission counts per date and course group. Please deduplicate it exactly and compute a rolling mean over observed_values with a window of 4.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-22-045?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need exactly two local analytical operations — exact row deduplication and a trailing moving average — applied to a dataset of up to 200 data collection completeness records (observed vs expected values) in a single low-cost call. Ideal for education analytics pipelines where data quality (deduplication) and trend smoothing (rolling mean) are both required without external lookups or predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Window size larger than number of input rows — trailing mean series may be incomplete or return nulls
- Missing required fields (row_id, date, observed_values, expected_values) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- All rows are duplicates — deduplication report returns empty or single-row result
- Null numeric values in selected field — trailing mean may skip or propagate nulls
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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