# Request Latency — Exact Row Deduplication + Numeric Interval Filter

> Request Latency — Exact Row Deduplication + Numeric Interval Filter 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 filters by numeric interval in supplied 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-03-043?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-numeric-interval-filter-38157124
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KRhVfzebvhOj2s4Etpb3H

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-numeric-interval-filter-38157124 -d '<json body>'
```

Example prompt: I have a list of up to 150 request latency records with columns row_id, component, date, latency_ms, and request_count — can you deduplicate exact rows and filter to only keep records where latency_ms is between 10 and 500, then give me 2 reports?

## When to prefer this

Choose this endpoint when you have up to 200 rows of request latency or request count records in hand and need both exact duplicate removal and numeric range filtering in a single call, returning two analytical reports. Ideal for data cleaning and preliminary analysis pipelines where no live data lookup or prediction is needed and the dataset is small enough to supply inline.

## Known failure modes

- Exceeding 200 rows causes rejection
- Missing required fields (row_id, date, latency_ms, request_count) causes validation error
- Invalid date format (not YYYY-MM-DD) causes parse failure
- minimum greater than maximum produces empty filtered result set
- Null numeric values in the filtered field may be excluded from interval filter
- Malformed row objects with extra properties rejected due to additionalProperties:false

## How this service works

Request latency — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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

Returns 2 independent analytical reports based on the supplied rows after exact row deduplication and numeric interval filtering on the selected field (latency_ms or request_count). No external data is fetched; all analysis is performed locally on the provided dataset.

## 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"
  },
  "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/request-latency-exact-row-deduplication-numeric-interval-filter-38157124/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)