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Community Help Requests — String Normalisation + Keyed Dataset Comparison
x402
Community Help Requests — 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 2026-10-23).
Normalises strings and performs keyed dataset comparison on two sets of community help request records (requests, resolved_requests) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Community help requests — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied community help requests records (requests, resolved_requests). 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 for the supplied data: (1) a string normalisation report covering fields such as channel_group and date across the submitted rows, and (2) a keyed dataset comparison report showing row-level differences between the two supplied datasets on fields including requests and resolved_requests, using shared local analytical engines with no external lookups.
Example use cases
Audit channel group name consistency
“I've got two batches of help request records from different exports, each under 200 rows with row_id, channel_group, date, requests, and resolved_requests — can you normalise the channel group strings in both and flag any keyed differences between the two datasets?”
Compare resolved request counts across periods
“Here are two weekly snapshots of our community support data — same row IDs, same channel groups, but different resolved_requests numbers. Please normalise the strings and run a keyed comparison so I can see exactly where the counts diverged.”
Validate help desk data before merging
“Before we merge these two CSV exports of community help requests into our main database, can you normalise string fields and do a keyed dataset comparison to catch any mismatches between the rows — I have about 120 rows in each set with row_id, channel_group, date, requests, and resolved_requests.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-21-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both clean/normalise string data and compare two keyed datasets of community help request records in a single low-cost call. It is purpose-built for help-desk and support-channel data with the specific fields (requests, resolved_requests, channel_group) and is ideal when you want two reports from one submission without any external data lookups or predictions.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, channel_group, date, requests, resolved_requests) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Numeric values outside allowed range cause field-level errors
- Empty rows array returns error
- Payment not processed results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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