# Request Latency Base-100 Series and Date-by-Category Pivot

> Request Latency Base-100 Series and Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Generates two analytical reports — a Base-100 indexed time series and a date-by-category pivot table — from supplied request latency and request count records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-03-167?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/request-latency-base-100-series-and-date-by-category-pivot-c966edaf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0NXtUqy5fWr0LE6hiJlQB

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-base-100-series-and-date-by-category-pivot-c966edaf -d '<json body>'
```

Example prompt: Can you run a base-100 latency analysis on these records — index from row 0 on the latency_ms field — and also give me a date-by-category pivot table? Here are my rows: component 'auth-service' on 2025-01-01 had latency_ms 120 and request_count 500, and 'payment-service' on 2025-01-01 had latency_ms 200 and request_count 300.

## When to prefer this

Choose this endpoint when you have raw request latency or request count records (up to 200 rows) and need both a base-100 normalized time series and a date-by-category pivot table in a single low-cost call. It is ideal for lightweight observability analytics without requiring a full BI tool or data warehouse. Prefer it over manual computation when you need two complementary views (trend indexing + pivot) delivered together from user-supplied data with no external data dependencies.

## Known failure modes

- Missing required fields (row_id, component, date, latency_ms, request_count) cause validation errors
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index pointing to a non-existent row index causes reference errors
- Null values in the selected metric field may produce gaps or skipped rows in the series
- Payment failure via x402 protocol blocks the request

## How this service works

Request latency — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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: (1) a Base-100 time series where each value is indexed relative to a chosen baseline row, and (2) a date-by-category pivot table aggregating the selected metric (latency_ms or request_count) across dates and component categories — both computed locally from the supplied rows, up to 200 rows total.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/request-latency-base-100-series-and-date-by-category-pivot-c966edaf/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)