# Request Latency String Normalisation + IQR Outlier Flags

> Request Latency String Normalisation + IQR Outlier Flags 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).

Normalises latency_ms or request_count strings and flags IQR-based outliers across up to 200 rows of request latency data, producing two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-03-032?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/request-latency-string-normalisation-iqr-outlier-flags-1d7c896e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kR5aNHC0wUqXS04hTg7GA

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 request-latency-string-normalisation-iqr-outlier-flags-1d7c896e -d '<json body>'
```

Example prompt: Can you normalise the latency strings and flag IQR outliers in this request latency dataset — I have about 50 rows with latency_ms values across two components, group-a and group-b, from October 2026, and I want to analyse the latency_ms field?

## When to prefer this

Choose this endpoint when you have up to 200 rows of request latency or request count records and need both string normalisation and IQR-based outlier detection in a single cheap call ($0.01 USDC for two reports). Ideal for lightweight, offline statistical cleaning of performance logs without needing a full analytics platform or live data pipeline. Not suitable when you need prediction, real-time monitoring, datasets larger than 200 rows, or professional performance assessment.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, component, latency_ms, request_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- All values null for the selected field — IQR computation undefined
- Payment not submitted or incorrect amount — x402 payment required error

## How this service works

Request latency — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied request latency records (latency_ms, request_count). 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

Two analytical reports per call: (1) string-normalised versions of the selected field (latency_ms or request_count) per row, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range. Results are scoped to the supplied rows (up to 200) with no external data fetched.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "latency_ms",
     "request_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
     },
     "latency_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "request_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "component": "group-a",
     "latency_ms": 10,
     "request_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "component": "group-b",
     "latency_ms": 20,
     "request_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "component": "group-a",
     "latency_ms": 15,
     "request_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "component": "group-b",
     "latency_ms": 30,
     "request_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "latency_ms",
    "request_count"
   ],
   "type": "string",
   "default": "latency_ms"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/request-latency-string-normalisation-iqr-outlier-flags-1d7c896e/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)