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Label Review Analytics: Duplicate Key Report + Missing Value Fill
x402
Label Review Analytics: Duplicate Key Report + Missing Value Fill 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).
Analyzes label review records to produce a duplicate key report and fills missing values in a specified numeric field using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill for supplied label review records (reviewed_records, changed_labels). 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 row_ids or key combinations that appear more than once in the submitted data, and (2) a missing value fill report showing which rows had null values in the specified field (reviewed_records or changed_labels) and what replacement value was used (zero, mean, or median computed from the submitted rows). No external data is consulted.
Example use cases
ML annotation pipeline data cleanup
“I have a batch of up to 150 label review rows with row_id, dataset_group, date, reviewed_records, and changed_labels — can you find any duplicate row IDs and fill in any missing reviewed_records values using the median?”
Null imputation for changed labels field
“Some rows in my label review dataset have null changed_labels values. Can you fill those in using mean imputation and also flag any duplicate keys across the 80 rows I'm sending?”
Pre-audit deduplication for annotation QA
“Before I run my annotation QA pass, I need a duplicate key report and want any missing reviewed_records filled with zero for these 200 label review records — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-070?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two lightweight, local analytical operations — duplicate key detection and missing value imputation — applied to label review records in a single paid call. It is ideal for ML annotation pipelines, data quality audits, or pre-processing steps where you want to clean up to 200 rows cheaply ($0.01 USDC) without any external lookup, prediction, or model inference. Prefer it over general-purpose data tools when your records specifically carry reviewed_records and changed_labels fields and you want both reports bundled.
Side effects
- Input array exceeds 200 rows — request rejected
- row_id field missing or empty on one or more rows — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unsupported method enum value — schema validation failure
- Unsupported field enum value — schema validation failure
- All values in target field are null — mean/median cannot be computed
- Payment of 0.01 USDC not confirmed — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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