# Endpoint Telemetry Data Quality & Normalisation Suite

> Endpoint Telemetry Data Quality & Normalisation Suite 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).

Performs record quality audit, string normalisation, and numeric row ordering on endpoint telemetry rows containing agent_count and reporting_agents fields, returning 3 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-15-196?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/endpoint-telemetry-data-quality-normalisation-suite-a2b74bab
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kbbTMWShIVUVTAED_neDV

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-data-quality-normalisation-suite-a2b74bab -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric row ordering on my endpoint telemetry data — I have 4 rows with fields row_id, control_group, date, agent_count, and reporting_agents, and I want the analysis focused on the agent_count field?

## When to prefer this

Choose this endpoint when you have up to 200 endpoint telemetry rows with agent_count and reporting_agents fields and need three bundled analytical operations — quality auditing, string normalisation, and numeric ordering — in a single low-cost call. It is ideal for pre-processing agent monitoring exports before dashboarding or further analysis, and is better suited than general-purpose data tools when you specifically need all three reports together at $0.01 USDC without any external API dependencies.

## Known failure modes

- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, agent_count, reporting_agents, control_group) causes row-level validation failures
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (not 'agent_count' or 'reporting_agents') causes parameter error
- Empty rows array returns an error

## How this service works

Endpoint telemetry — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied endpoint telemetry records (agent_count, reporting_agents). 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

Returns 3 independent analytical reports: (1) a record quality audit identifying missing, malformed, or inconsistent values; (2) a string normalisation report standardising text fields like control_group; and (3) a numeric row ordering report ranking rows by the selected numeric field (agent_count or reporting_agents). All 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",
     "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
  },
  "field": {
   "enum": [
    "agent_count",
    "reporting_agents"
   ],
   "type": "string",
   "default": "agent_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/endpoint-telemetry-data-quality-normalisation-suite-a2b74bab/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)