# Cache Telemetry Analyzer — Record Quality Audit, String Normalisation & Base-100 Series

> Cache Telemetry Analyzer — Record Quality Audit, String Normalisation & Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Runs three analytical reports on cache telemetry rows (hit_count, miss_count): a record quality audit, string normalisation, and a base-100 indexed series for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-06-201?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cache-telemetry-analyzer-record-quality-audit-string-normalisation-9eb5dd65
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_H28D-TwgbI9K_NbvSuNKp

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-record-quality-audit-string-normalisation-9eb5dd65 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and base-100 series on my cache telemetry data? I have rows for components group-a and group-b from 2026-10-01 to 2026-10-04 with hit_count values 10, 20, 15, 30 and miss_count values 1, 2, 3, 4 — use hit_count as the field and start the base index at row 0.

## When to prefer this

Choose this endpoint when you need three combined analytical passes — quality audit, string normalisation, and base-100 series indexing — on cache telemetry data (hit_count/miss_count) in a single low-cost call. It is best suited for offline batch analysis of up to 200 rows of supplied data where no live lookups, predictions, or external enrichment are needed.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- base_index out of range (0–199) relative to row count — error
- Invalid date format (not YYYY-MM-DD) in any row — validation failure
- Missing required fields (row_id, component, date, hit_count, miss_count) — schema rejection
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Payment not completed — request blocked

## How this service works

Cache telemetry — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied cache telemetry records (hit_count, miss_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three structured analytical reports for the supplied cache telemetry rows: (1) a record quality audit flagging missing, null, or malformed values; (2) string normalisation results for component and other string fields; (3) a base-100 indexed series for the selected numeric field (hit_count or miss_count) anchored at the specified base_index row. No external data or live lookups are included.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cache-telemetry-analyzer-record-quality-audit-string-normalisation-9eb5dd65/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)