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Coordinate Quality Checks — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Coordinate Quality Checks — Trailing Mean Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes trailing mean time series and secondary-measure weighted mean analytics on supplied coordinate quality check records (checked_points, flagged_points) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean for supplied coordinate quality checks records (checked_points, flagged_points). 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
Two analytical reports computed locally: (1) a trailing mean series showing rolling averages over the specified window for the chosen primary field across dated rows, and (2) a secondary-measure weighted mean that weights the primary field values by the secondary measure across all supplied records. Results cover up to 200 input rows with no external data lookups.
Example use cases
Weather station QA trend analysis
“I've got daily quality check records for our weather stations across three groups over the past month — checked_points and flagged_points per day. Can you run a trailing mean series with a window of 3 on checked_points so I can see where data quality is trending?”
Flagged point ratio weighted summary
“Here are 50 rows of coordinate quality check records with station group, date, checked_points and flagged_points. Can you compute a secondary-measure weighted mean using flagged_points as the secondary measure so I can understand the weighted average flag rate across all records?”
Multi-station QA anomaly investigation
“I need both a trailing mean series and a weighted mean report on this batch of 120 coordinate quality check records from our group-a and group-b stations — use a window of 5 on the checked_points field and weight by flagged_points.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected coordinate quality check records (checked_points and flagged_points) and need both a trailing moving-average time series and a weighted-mean summary computed in a single call against your own supplied data — with no need for live external lookups or real-time data feeds. Ideal for offline QA analysis of weather station or geospatial sensor data in batches up to 200 rows.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Window size smaller than 2 or larger than 200 — validation error
- Missing required fields (row_id, date, checked_points, flagged_points) — schema validation error
- Date values not in YYYY-MM-DD format — pattern validation error
- Null values in numeric fields may affect weighted mean calculation
- Insufficient rows relative to window size may produce sparse trailing mean output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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