# Cache Telemetry Analytics — Record Quality Audit, String Normalisation & Weighted Mean

> Cache Telemetry Analytics — Record Quality Audit, String Normalisation & Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Audits data quality, normalises strings, and computes a secondary-measure weighted mean for cache telemetry records (hit_count, miss_count) in a single batch call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-06-205?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cache-telemetry-analytics-record-quality-audit-string-normalisation-c6068fd1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lyUvH9JFyHF9a-UPbNH2Z

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-analytics-record-quality-audit-string-normalisation-c6068fd1 -d '<json body>'
```

Example prompt: Can you audit the quality of these cache telemetry rows, normalise the component name strings, and compute a weighted mean on hit_count? I have up to 50 rows with fields: row_id, component, date, hit_count, and miss_count.

## When to prefer this

Choose this endpoint when you need three complementary analytical operations — quality audit, string normalisation, and weighted mean — on cache telemetry data in a single low-cost call (≤200 rows, $0.01 USDC). It is ideal for pre-processing or validating cache hit/miss data before downstream reporting. Prefer this over separate single-purpose endpoints when you want all three reports in one round-trip without any live lookups or external data enrichment.

## Known failure modes

- Missing required fields (row_id, component, date, hit_count, miss_count) cause validation errors
- Submitting more than 200 rows exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null or extreme numeric values outside ±1,000,000,000,000 are rejected
- Selecting a field value outside the enum ['hit_count','miss_count'] causes an error
- Empty rows array (minItems:1 violated) returns an error

## How this service works

Cache telemetry — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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 independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report for component and other text fields; (3) a secondary-measure weighted mean computed over the selected field (hit_count or miss_count) across the supplied rows. All computed locally 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-analytics-record-quality-audit-string-normalisation-c6068fd1/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)