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Service Availability Observations – Daily Sum Series
x402
Service Availability Observations – Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Computes daily sum series for service availability observations (observed minutes and outage minutes) across up to 200 records, grouped by service and date.
Price / call$0.01
Success—
StatusUnknown
How this service works
Service availability observations - Daily sum series: Daily sum series for Service availability observations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded daily sum series report.
Output
Returns a bounded daily sum series report with aggregated totals (either observed_minutes or outage_minutes) grouped by service and date, covering up to 200 input records. No enrichment, forecasting, or external data is added — only local descriptive aggregation.
Example use cases
Daily outage rollup for SLA reporting
“I have a list of service monitoring records for the past month with outage_minutes logged per entry. Can you sum up the outage_minutes by day for each service so I can see our daily downtime totals for the SLA report?”
Availability trend analysis by service group
“I've got up to 200 rows of service availability observations — each with a date, a service name, observed_minutes, and outage_minutes. Can you aggregate the observed_minutes into a daily sum series per service so I can spot availability trends over time?”
Incident post-mortem daily summary
“After last week's incident, I need to understand how many outage minutes were recorded each day for each affected service. I have the raw observation rows — can you compute the daily sum of outage_minutes grouped by service and date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-service-availability-date-series?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a simple, bounded daily sum rollup of service availability observations (outage or observed minutes) across up to 200 records, without requiring external enrichment, ML inference, or forecasting. Prefer it over heavier analytics pipelines when you just need local descriptive aggregation of monitoring data grouped by service and date.
Side effects
- Input array is empty (minItems: 1 not met) — validation error
- More than 200 rows supplied — rejected by maxItems constraint
- Invalid date format (must match YYYY-MM-DD pattern) — validation error
- Missing required fields (row_id, service, date, observed_minutes, outage_minutes) — schema validation failure
- Invalid field enum value (must be 'observed_minutes' or 'outage_minutes') — rejected
- Numeric values out of allowed range — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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