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Issue Throughput — Exact Row Deduplication + Duplicate Key Report
x402
Issue Throughput — Exact Row Deduplication + 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 2026-10-24).
Deduplicates exact rows and reports duplicate keys in issue throughput records (issues_opened, issues_closed) for up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Issue throughput — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report for supplied issue throughput records (issues_opened, issues_closed). 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 reports: (1) an exact row deduplication report identifying which rows are perfect duplicates across all fields, and (2) a duplicate key report flagging rows sharing the same key identifier (row_id), covering up to 200 supplied issue throughput rows. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Sprint data deduplication audit
“I've got a CSV of issue throughput records from our last sprint — each row has a row_id, component, date, issues_opened, and issues_closed. Can you check for exact duplicate rows and also flag any duplicate row_id keys? I have about 150 rows.”
Multi-team component deduplication
“We merged issue tracking exports from three teams and I suspect there are duplicate entries. Can you run exact row deduplication and a duplicate key report on these issue records — I'll give you the rows with row_id, component, date, issues_opened, and issues_closed fields.”
Monthly issue data quality check
“Before I load this month's issue throughput data into our dashboard, can you check it for exact duplicate rows and duplicate row_ids? I have around 80 records with issues_opened and issues_closed per component per day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-13-038?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to clean or audit issue throughput records (issues_opened/issues_closed) specifically and need both exact-row deduplication AND duplicate key identification in a single cost-effective call. It is well-suited for pre-processing issue tracking data exports before loading into dashboards or analytics pipelines, especially when datasets are up to 200 rows. Prefer alternatives if you need deduplication on non-issue-tracking domains, require more than 200 rows, or need additional transformations beyond deduplication and key reporting.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, component, date, issues_opened, issues_closed) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Empty rows array — minimum 1 item required
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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