# Request Latency Exact Row Deduplication and Numeric Row Ordering

> Request Latency Exact Row Deduplication and Numeric Row Ordering 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).

Deduplicates exact rows and applies numeric ordering to supplied request latency records (latency_ms, request_count), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-03-042?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-exact-row-deduplication-and-numeric-row-ordering-31618b0a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q8ctpJmSbJvn4QtX-asTo

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-exact-row-deduplication-and-numeric-row-ordering-31618b0a -d '<json body>'
```

Example prompt: I have a set of request latency records with latency_ms and request_count values across different components and dates — can you run exact row deduplication and numeric ordering on them and give me the two reports? Here are up to 200 rows with fields row_id, component, date, latency_ms, and request_count, and I want the analysis on the latency_ms field.

## When to prefer this

Choose this endpoint when you have raw request latency or request count tabular records that need exact duplicate row removal and numeric ordering, and you want two structured analytical reports in a single low-cost call. It is ideal for lightweight, offline data cleaning and ordering tasks on datasets up to 200 rows without needing live data lookup, prediction, or external system access.

## Known failure modes

- More than 200 rows submitted — returns an error or truncates input
- Missing required fields (row_id, component, date, latency_ms, request_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not in enum ['latency_ms','request_count'] — invalid input error
- Payment not supplied or insufficient USDC — 402 payment required response

## How this service works

Request latency — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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: one covering exact row deduplication results (identifying and removing duplicate rows) and one covering numeric row ordering for the specified field (latency_ms or request_count), applied to the supplied dataset of up to 200 rows.

## 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-exact-row-deduplication-and-numeric-row-ordering-31618b0a/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)