# Cache Telemetry — Record Quality Audit + String Normalisation + Duplicate Key Report

> Cache Telemetry — Record Quality Audit + String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Audits, normalises, and deduplicates up to 200 cache telemetry records (hit_count, miss_count) producing three independent analytical reports using local engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-06-192?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cache-telemetry-record-quality-audit-string-normalisation-duplicate-458b8fcc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DqyeQf2JEOQsODkzSOMYP

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-record-quality-audit-string-normalisation-duplicate-458b8fcc -d '<json body>'
```

Example prompt: Can you audit my cache telemetry data for quality issues, normalise the component strings, and flag any duplicate row IDs? I have about 50 rows with fields like row_id, component, date, hit_count, and miss_count.

## When to prefer this

Choose this endpoint when you need simultaneous data quality auditing, string normalisation, and duplicate detection on cache telemetry records (hit_count/miss_count) in a single low-cost call. It is ideal for pipelines that collect raw cache performance logs and need to validate and clean them before downstream analysis, without requiring any external data lookups or live system integrations.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, component, date, hit_count, miss_count) in any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error

## How this service works

Cache telemetry — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report showing cleaned/standardised versions of string fields like component; (3) a duplicate key report identifying rows sharing the same row_id. All processing is performed locally with no external lookups or predictions.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cache-telemetry-record-quality-audit-string-normalisation-duplicate-458b8fcc/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)