# Endpoint Telemetry — Record Quality Audit + String Normalisation + Grouped Numeric Summary

> Endpoint Telemetry — Record Quality Audit + String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Runs three local analytical reports on endpoint telemetry rows: a data quality audit, string normalisation, and a grouped numeric summary for agent_count or reporting_agents fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-15-194?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/endpoint-telemetry-record-quality-audit-string-normalisation-grouped-b64091ba
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9auATBh4FXu3pJViR2LqK

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-grouped-b64091ba -d '<json body>'
```

Example prompt: Can you audit the data quality, normalise the string fields, and give me a grouped numeric summary of the agent_count field for these 4 telemetry rows: row-1 on 2026-10-01 with control_group 'group-a', agent_count 10, reporting_agents 1; row-2 on 2026-10-02 with control_group 'group-b', agent_count 20, reporting_agents 2; row-3 on 2026-10-03 with control_group 'group-a', agent_count 15, reporting_agents 3; row-4 on 2026-10-04 with control_group 'group-b', agent_count 30, reporting_agents 4?

## When to prefer this

Choose this endpoint when you have up to 200 rows of endpoint telemetry data (with agent_count and reporting_agents fields) and need three bundled offline analytical reports — quality audit, string normalisation, and grouped numeric summary — in a single cheap call ($0.01 USDC). It is not suitable for live lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, control_group, date, agent_count, reporting_agents) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector (not 'agent_count' or 'reporting_agents') — enum validation error
- Empty rows array — minItems constraint violation

## How this service works

Endpoint telemetry — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 three analytical reports computed locally from the supplied rows: (1) a record quality audit flagging data completeness and formatting issues, (2) normalised string representations of text fields, and (3) a grouped numeric summary (e.g. mean, count, totals) of the selected numeric field (agent_count or reporting_agents) broken down by control_group. No external data sources or live lookups are involved.

## 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-record-quality-audit-string-normalisation-grouped-b64091ba/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)