# Cache Telemetry Analyzer — Category Frequencies & Adjacent Row Changes

> Cache Telemetry Analyzer — Category Frequencies & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Analyzes cache telemetry rows (hit_count, miss_count) to produce two reports: category frequency distributions by component and adjacent-row change deltas, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-06-104?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cache-telemetry-analyzer-category-frequencies-adjacent-row-changes-74e8ce81
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mfhKsJtx7mgJ64EES04fC

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 cache-telemetry-analyzer-category-frequencies-adjacent-row-changes-74e8ce81 -d '<json body>'
```

Example prompt: Analyze these cache telemetry records for hit_count — I have 4 rows with components group-a and group-b dated 2026-10-01 through 2026-10-04 with hit counts of 10, 20, 15, and 30 — give me both a category frequency breakdown by component and the adjacent row changes.

## When to prefer this

Choose this endpoint when you have cache telemetry data with hit/miss counts and need both a component-level frequency distribution and row-to-row change analysis in a single call. It is ideal for DevOps and SRE workflows analyzing cache performance logs offline with no need for external data enrichment. Prefer it over single-report endpoints when you need both category frequencies and adjacent row deltas together at a fixed low cost.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, component, date, hit_count, miss_count) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum — must be hit_count or miss_count
- Payment failure — 0.01 USDC not successfully processed via x402

## How this service works

Cache telemetry — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes for supplied cache telemetry records (hit_count, miss_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 independent analytical reports: (1) category frequencies showing how often each unique component value appears across the supplied rows, and (2) adjacent row changes showing the delta in the selected numeric field (hit_count or miss_count) between consecutive rows. Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "hit_count",
     "miss_count"
    ],
    "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
     },
     "hit_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "miss_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "component": "group-a",
     "hit_count": 10,
     "miss_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "component": "group-b",
     "hit_count": 20,
     "miss_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "component": "group-a",
     "hit_count": 15,
     "miss_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "component": "group-b",
     "hit_count": 30,
     "miss_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "hit_count",
    "miss_count"
   ],
   "type": "string",
   "default": "hit_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cache-telemetry-analyzer-category-frequencies-adjacent-row-changes-74e8ce81/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)