# Service Request Handling — Numeric Row Ordering + Adjacent Row Changes

> Service Request Handling — Numeric Row Ordering + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Ranks service request handling rows by a chosen metric and computes adjacent-row changes, delivering two analytical reports for up to 200 records of request_count or resolution_minutes data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-05-116?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/service-request-handling-numeric-row-ordering-adjacent-row-changes-c034e6b6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VmE9LGNXOFyLtLl5yuH7F

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 service-request-handling-numeric-row-ordering-adjacent-row-changes-c034e6b6 -d '<json body>'
```

Example prompt: Can you rank these service request records by request_count and show me the changes between consecutive rows? I have 4 rows for group-a and group-b from October 2026 with request counts and resolution minutes — give me both the ordering report and the adjacent row differences.

## When to prefer this

Choose this endpoint when you have tabular service request handling data (up to 200 rows) and need both a ranked ordering by a numeric metric and a sequential difference report between adjacent rows — all from your own supplied data without any live lookup or external enrichment. Ideal for support operations teams doing lightweight in-place analytics on request volume or resolution time without setting up a full data pipeline.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, team_group, request_count, resolution_minutes) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Null values in the selected metric field may produce gaps in ordering or change calculations
- Invalid field enum value (anything other than 'request_count' or 'resolution_minutes') causes rejection

## How this service works

Service request handling — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied service request handling records (request_count, resolution_minutes). 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) all input rows sorted numerically by the selected field (request_count or resolution_minutes) in ranked order, and (2) a row-by-row adjacent change report showing the difference between each consecutive row's value for the chosen metric. No external data or predictions are included — results are derived purely from the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "request_count",
     "resolution_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "request_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "resolution_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "request_count": 10,
     "resolution_minutes": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "request_count": 20,
     "resolution_minutes": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "request_count": 15,
     "resolution_minutes": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "request_count": 30,
     "resolution_minutes": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "request_count",
    "resolution_minutes"
   ],
   "type": "string",
   "default": "request_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/service-request-handling-numeric-row-ordering-adjacent-row-changes-c034e6b6/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)