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Service Uptime — Category Frequencies + Keyed Dataset Comparison
x402
Service Uptime — Category Frequencies + 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 2026-10-29).
Analyzes service uptime records to produce category-level frequency distributions and a row-keyed comparison between two datasets of available vs. observed minutes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Service uptime — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison for supplied service uptime records (available_minutes, observed_minutes). 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 reports: (1) a category frequency table grouping uptime records by component with counts and aggregated available/observed minutes, and (2) a keyed dataset comparison aligning rows from both input datasets by row_id to highlight differences in available_minutes and observed_minutes between the two sets.
Example use cases
Monthly uptime comparison across components
“I have two months of uptime data for our microservices — each row has a component name, date, available_minutes, and observed_minutes. Can you compare January vs February records side by side and show me the frequency breakdown by component?”
SLA audit by service category
“We need to audit our SLA compliance. I have uptime logs for up to 200 rows split across two groups — can you give me a category frequency report and a keyed comparison showing where our observed minutes fell short of available minutes?”
Before-and-after deployment uptime analysis
“We deployed a fix last Tuesday. Can you compare our pre-deployment and post-deployment uptime records — same components, same row IDs — and show me both the category frequencies and a row-by-row keyed comparison of available vs observed minutes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-16-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured service uptime records (available_minutes and observed_minutes) and need both a categorical frequency summary and a direct row-level comparison between two datasets in a single paid call. It is ideal for SRE/DevOps workflows where you want to audit reliability by component category and diff two time periods or deployment states without any external lookup or prediction.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, component, date, available_minutes, observed_minutes) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause parse failures
- Null or extreme numeric values (beyond ±1,000,000,000,000) may cause computation errors
- Non-matching row_ids between 'rows' and 'other' datasets result in unmatched keys in comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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