# Request Latency String Normalisation and Exact Row Deduplication

> Request Latency String Normalisation and Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Normalises strings and deduplicates exact rows in request latency records (latency_ms, request_count), returning 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-03-020?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/request-latency-string-normalisation-and-exact-row-deduplication-ebc1e47b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IJYwb00pd0d-S7z302Ct4

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-and-exact-row-deduplication-ebc1e47b -d '<json body>'
```

Example prompt: Can you clean up these 50 request latency records — normalise the component name strings and remove any exact duplicate rows — and give me both analytical reports? Here's the data with row_id, component, date, latency_ms, and request_count fields.

## When to prefer this

Choose this endpoint when you have raw request latency records (up to 200 rows) that need string normalisation and exact duplicate removal before further analysis or storage, and you want two independent summary reports at minimal cost. Prefer this over general-purpose data cleaning tools when your data specifically contains latency_ms and request_count fields organised by component and date, and you need deterministic local processing with no external API calls or predictions.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, component, date, latency_ms, request_count) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Null numeric values for latency_ms or request_count may affect deduplication logic
- Payment not fulfilled — x402 payment required before processing

## How this service works

Request latency — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 covering the results of string normalisation and exact row deduplication applied to the submitted latency records. Reports reflect the cleaned dataset with duplicates removed and string fields standardised, processed locally without external lookups or predictions.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/request-latency-string-normalisation-and-exact-row-deduplication-ebc1e47b/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)