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Process Handoffs — String Normalisation + Duplicate Key Report
x402
Process Handoffs — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Normalises string fields and identifies duplicate row keys in process handoff records (handoff_count, wait_minutes) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Process handoffs — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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
Two independent analytical reports: (1) a string normalisation report showing standardised versions of string fields such as team_group, and (2) a duplicate key report identifying any row_id values that appear more than once across the submitted rows. No external lookups or predictions are made; analysis is performed locally on the supplied data only.
Example use cases
Cleaning operations team handoff exports
“I've got a CSV of process handoffs from three teams — group-a and group-b — with dates, handoff counts, and wait times. Can you normalise the team name strings and flag any rows with duplicate row IDs so I can clean the dataset before analysis?”
Auditing duplicate entries in handoff logs
“Our operations system may have logged some handoff records twice. I have about 150 rows with row_id, team_group, date, handoff_count, and wait_minutes. Can you run a duplicate key check and also normalise the string fields so I can identify the bad entries?”
Pre-processing handoff data for reporting
“Before I load this handoff data into our dashboard I need to make sure there are no duplicate row IDs and that team group names are consistently formatted. Here are 80 rows with handoff_count and wait_minutes — can you give me the normalisation and duplicate reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-18-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline data-quality processing on process handoff records — specifically string normalisation and duplicate key detection — without requiring any external API calls, predictions, or live data lookups. It is best suited for pre-processing small-to-medium batches (up to 200 rows) of handoff data before downstream analytics or reporting. Prefer it over general-purpose ETL tools when you want a low-cost, single-call solution that returns two targeted reports simultaneously.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, team_group, date, handoff_count, wait_minutes) cause row-level rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Empty rows array returns an error
- Payment of 0.01 USDC must be included via x402 protocol or request is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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