# Service Request Handling — Adjacent Row Changes + Secondary-Measure Weighted Mean

> Service Request Handling — Adjacent Row Changes + Secondary-Measure Weighted Mean 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).

Computes adjacent row changes and secondary-measure weighted mean for service request handling records (request_count, resolution_minutes) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-05-159?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/service-request-handling-adjacent-row-changes-secondary-measure-1fe09069
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GqzhenCE0d43CH9FVD08c

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-adjacent-row-changes-secondary-measure-1fe09069 -d '<json body>'
```

Example prompt: Can you analyze my service request data and give me both the adjacent row changes and the secondary-measure weighted mean for request_count? I have rows like: 2026-10-01 group-a 10 requests 1 min resolution, 2026-10-02 group-b 20 requests 2 min, 2026-10-03 group-a 15 requests 3 min.

## When to prefer this

Choose this endpoint when you have tabular service request handling data (with request_count and resolution_minutes fields) and need both row-over-row delta analysis and a weighted mean computed locally without any external data enrichment, prediction, or live lookup. Ideal for batch analytical reporting on helpdesk or operations datasets up to 200 rows at low cost ($0.01 USDC for both reports).

## Known failure modes

- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, team_group, request_count, resolution_minutes) cause validation errors
- Invalid date format (must be YYYY-MM-DD) results in parsing failure
- Null or missing numeric values may cause weighted mean to return NaN or partial results
- Invalid field enum value (not 'request_count' or 'resolution_minutes') causes parameter rejection

## How this service works

Service request handling — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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

Returns two analytical reports for the supplied service request handling rows: (1) adjacent row changes showing the difference in the selected metric between consecutive rows, and (2) a secondary-measure weighted mean where one metric (e.g. resolution_minutes) is averaged weighted by the other (e.g. request_count). Results are derived entirely from the supplied data with no external lookups.

## 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-adjacent-row-changes-secondary-measure-1fe09069/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)