# Endpoint Telemetry Record Quality Audit & String Normalisation

> Endpoint Telemetry Record Quality Audit & String Normalisation 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 and normalises strings in endpoint telemetry rows containing agent counts and reporting agent metrics, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-15-001?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/endpoint-telemetry-record-quality-audit-string-normalisation-0a07c1f8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z3vMRpFja_7Aa4qPD6Esk

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 endpoint-telemetry-record-quality-audit-string-normalisation-0a07c1f8 -d '<json body>'
```

Example prompt: Can you run a record quality audit and string normalisation on my endpoint telemetry data? I have rows for control groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, with agent counts like 10, 20, 15, 30 and reporting agents 1, 2, 3, 4 — I need both the audit report and the normalised strings back.

## When to prefer this

Choose this endpoint when you need both a data quality audit and string normalisation in a single call for endpoint telemetry data specifically containing agent_count and reporting_agents fields. It is best suited for batches of up to 200 rows where you want local analytical processing without any external API calls, live lookups, or prediction — making it deterministic and reproducible. Prefer it over general-purpose data cleaning tools when your dataset maps directly to the expected telemetry schema.

## Known failure modes

- Empty rows array or missing required fields (row_id, control_group, date, agent_count, reporting_agents) causes validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- row_id exceeding 80 characters or being empty string will fail validation
- Payment not included or insufficient USDC balance results in 402 Payment Required response

## How this service works

Endpoint telemetry — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied endpoint telemetry records (agent_count, reporting_agents). 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) a record quality audit identifying issues such as missing values, out-of-range numbers, or malformed dates in the telemetry rows, and (2) a string normalisation report showing standardised versions of string fields like control_group. Covers up to 200 input rows per call with no external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/endpoint-telemetry-record-quality-audit-string-normalisation-0a07c1f8/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)