# Service Uptime — Category Frequencies + Keyed Dataset Comparison

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-16-111?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/service-uptime-category-frequencies-keyed-dataset-comparison-8d95c038
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_D3UtwBMVg3DVQXbx73Sb8

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability service-uptime-category-frequencies-keyed-dataset-comparison-8d95c038 -d '<json body>'
```

Example prompt: Can you run a category frequency breakdown and compare these two sets of uptime records for me? The first dataset has components like 'api-gateway' and 'auth-service' with their available_minutes and observed_minutes per day, and the second dataset covers the same components for a different period — I want to see where they diverge.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "available_minutes",
     "observed_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "component": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "observed_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "available_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "component": "group-a",
     "observed_minutes": 1,
     "available_minutes": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "component": "group-b",
     "observed_minutes": 2,
     "available_minutes": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "component": "group-a",
     "observed_minutes": 3,
     "available_minutes": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "component": "group-b",
     "observed_minutes": 4,
     "available_minutes": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "available_minutes",
     "observed_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "component": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "observed_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "available_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalPropert
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/service-uptime-category-frequencies-keyed-dataset-comparison-8d95c038/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)