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Research Task Completion — String Normalisation + Keyed Dataset Comparison
x402
Research Task Completion — String Normalisation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Normalises string fields and performs keyed dataset comparison on two supplied sets of research task completion records (completed_tasks, assigned_tasks) for up to 200 rows each, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied research task completion records (completed_tasks, assigned_tasks). 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 covering the company_group and other string fields across both datasets, and (2) a keyed dataset comparison report showing row-by-row differences in completed_tasks and assigned_tasks values between the two supplied datasets, matched by row_id.
Example use cases
Monthly task completion audit across company groups
“I've got two batches of monthly research task data — each about 80 rows — with row_id, company_group, date, completed_tasks, and assigned_tasks. Please normalise the group name strings and do a keyed comparison between the two batches so I can see which rows have changed.”
QA check before merging task datasets
“Before we merge these two research task completion exports, can you run a string normalisation and keyed dataset comparison on them? Both have around 120 rows with row_id, company_group, date, completed_tasks, and assigned_tasks fields.”
Spot discrepancies between reported and actual task counts
“We have two versions of our research task completion table — one from the reporting system and one from the operations team — each with the same row_id, company_group, date, completed_tasks, and assigned_tasks structure. Can you normalise the strings and compare them row-by-row to find any discrepancies in the task counts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and keyed row-by-row comparison of research task completion data (completed_tasks, assigned_tasks) in a single call for up to 200 rows, without requiring any live data lookup, external API calls, or predictive modelling. It is cost-effective at $0.01 USDC for two reports and is well-suited for data quality checks, audit workflows, and reconciliation tasks on structured task records.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- row_id values not unique across dataset — comparison results may be ambiguous
- Both datasets empty or minItems constraint not met — error returned
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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