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Onboarding Progress — Duplicate Key Report + Trailing Mean Series
x402
Onboarding Progress — 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 2026-10-22).
Analyzes onboarding progress records (completed_steps, required_steps) 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
Onboarding progress — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series for supplied onboarding progress records (completed_steps, required_steps). 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 with repeated row_id values across the supplied onboarding records, and (2) a trailing mean series showing the rolling average of the selected field (completed_steps or required_steps) computed over the specified window size for each row in chronological order. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Detect duplicates in onboarding batch upload
“I just uploaded a batch of onboarding records and I'm worried there are duplicate row IDs. Can you run a duplicate key report on these 50 rows and also give me a trailing mean of completed_steps with a window of 5 so I can spot trends?”
Rolling average for team onboarding monitoring
“For our two onboarding teams, group-a and group-b, can you compute a trailing mean of required_steps across the last 4 weeks of daily records using a window of 7, and flag any duplicate row IDs while you're at it?”
Audit onboarding data quality before reporting
“Before I send this onboarding progress report to leadership, can you check these 100 rows for any duplicate keys and compute a 2-period trailing mean of completed_steps so I can include trend data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-08-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit onboarding progress records for duplicate row identifiers AND compute a rolling/trailing mean of step counts over time, and your dataset is up to 200 rows. It is purpose-built for onboarding progress data with the specific fields completed_steps and required_steps. Prefer this over general analytics tools when you want a low-cost ($0.01 USDC), self-contained, offline analysis with no external data dependencies.
Side effects
- Empty or missing rows array returns validation error
- Rows exceeding 200 items are rejected with a max-items error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Window size outside range 2–200 causes rejection
- Invalid field value (not completed_steps or required_steps) causes enum error
- Null numeric values for completed_steps or required_steps may affect trailing mean computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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