# 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 2026-10-23).

Audits record quality, normalises strings, and filters by numeric interval for endpoint telemetry rows containing agent_count and reporting_agents fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-15-197?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/endpoint-telemetry-data-quality-normalisation-suite-3ecca2e7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fS8G_ySNwck8gFK_lzRD1

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-3ecca2e7 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and numeric interval filter on my endpoint telemetry data — I have rows with agent_count and reporting_agents fields, and I want to filter agent_count between 0 and 100?

## When to prefer this

Choose this endpoint when you need three combined local analytical operations — quality audit, string normalisation, and numeric range filtering — applied to endpoint telemetry records in a single low-cost call, without requiring live lookups, predictions, or external data enrichment. Ideal for lightweight batch validation pipelines on agent monitoring datasets of up to 200 rows.

## Known failure modes

- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) triggers validation rejection
- Missing required fields (row_id, control_group, date, agent_count, reporting_agents) causes row-level errors
- minimum greater than maximum produces an empty or error filter result
- Non-numeric values in agent_count or reporting_agents may be flagged or rejected

## How this service works

Endpoint telemetry — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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

Three independent analytical reports for up to 200 telemetry rows: (1) a record quality audit identifying missing, malformed, or invalid field values; (2) a string normalisation report standardising text fields such as control_group; and (3) a numeric interval filter report identifying rows where the selected numeric field (agent_count or reporting_agents) falls within the specified minimum and maximum bounds.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/endpoint-telemetry-data-quality-normalisation-suite-3ecca2e7/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)