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Dataset Storage Analytics — Weighted Mean & Keyed Dataset Comparison
x402
Dataset Storage Analytics — Weighted Mean & 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 2026-10-15).
Computes a secondary-measure weighted mean and performs a keyed comparison between two dataset storage record sets (used_mb, row_count) for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison for supplied dataset storage records (used_mb, row_count). 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 analytical reports: (1) a secondary-measure weighted mean computed over the supplied rows for the chosen field (used_mb or row_count), and (2) a keyed comparison between the primary and secondary dataset arrays matched by row_id, highlighting differences per dataset_group. No external data is fetched; all computation is local to the engine.
Example use cases
Storage growth weighted mean analysis
“I have two months of dataset storage records with used_mb and row_count per group — can you compute the row_count-weighted mean of used_mb across all groups for me?”
Before-and-after dataset storage comparison
“I want to compare my dataset storage records from last quarter against this quarter — same row IDs, same groups — can you run a keyed comparison on used_mb so I can see what changed?”
Multi-group dataset size benchmarking
“I've got storage stats for three dataset groups across 50 rows. Can you compute the weighted average of row_count using used_mb as the weight, and then compare the two versions of the dataset side by side?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have dataset storage records with used_mb and row_count fields and need both a weighted mean statistic and a side-by-side keyed comparison in a single $0.01 call. It is ideal for comparing two snapshots of the same dataset over time, or benchmarking two different dataset groups. Prefer this over general-purpose analytics when your data specifically involves storage metrics organized by dataset_group and identified by row_id.
Side effects
- Input rows array empty or missing — returns validation error
- More than 200 rows submitted — request rejected with item limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, dataset_group, date) — rejected with field error
- field enum value not 'used_mb' or 'row_count' — rejected
- Null values in numeric fields may affect weighted mean calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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