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Process Handoffs — String Normalisation + Trailing Mean Series
x402
Process Handoffs — String Normalisation + 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 2026-10-24).
Runs two analytical reports on process handoff records: string normalisation of team/group labels and a trailing mean time-series calculation over handoff_count or wait_minutes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Process handoffs — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied process handoffs records (handoff_count, wait_minutes). 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 reports: (1) a string normalisation report applying standardised formatting to team_group labels across all rows, and (2) a trailing mean time series computed over the selected numeric field (handoff_count or wait_minutes) using the specified window size, covering up to 200 input rows.
Example use cases
Smoothing daily handoff counts for a support team
“I have 60 rows of daily process handoff data for our support teams — can you normalize the team group names and calculate a trailing mean with a window of 5 for handoff_count so I can see the smoothed trend over time?”
Analyzing wait time trends across departments
“Take my 120 rows of handoff records with team_group, date, and wait_minutes columns, normalize the string labels, and run a trailing mean series with a window of 7 on wait_minutes so I can spot which groups have worsening wait times.”
Cleaning group labels before reporting
“Before I put together our operations report, can you normalize the inconsistent team_group strings and compute a trailing mean with a window of 2 on handoff_count for these 30 handoff records I'm uploading?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-18-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both label standardisation and a rolling/trailing mean time series computed locally on supplied process handoff data in a single low-cost call, without requiring any external data lookup, prediction, or live service. Best suited for operations analysts who need quick smoothing and string cleanup on up to 200 rows of handoff records.
Side effects
- Fewer than 1 or more than 200 rows submitted returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size outside 2–200 range fails validation
- Missing required fields (row_id, date, handoff_count, wait_minutes) cause schema errors
- Null numeric values may produce gaps in the trailing mean series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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