# Service Request Handling — Exact Row Deduplication + Trailing Mean Series

> Service Request Handling — Exact Row Deduplication + Trailing Mean Series 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 duplicate rows and computes a trailing mean time series 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-05-045?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-exact-row-deduplication-trailing-mean-series-4773d0dd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NNAiCqprq3dSTPTuBmhsH

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-exact-row-deduplication-trailing-mean-series-4773d0dd -d '<json body>'
```

Example prompt: I have 120 rows of daily service request data for two team groups with columns row_id, team_group, date, request_count, and resolution_minutes — can you deduplicate exact duplicate rows and then compute a trailing mean series with a window of 5 for the request_count field?

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a trailing mean time series computed together in a single call on service request handling data (request_count, resolution_minutes) for up to 200 rows, without requiring any external data sources, predictions, or live lookups. It is cost-effective at $0.01 USDC for both reports simultaneously.

## Known failure modes

- Input array is empty or missing — returns validation error
- More than 200 rows submitted — exceeds row limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size larger than number of rows — trailing mean cannot be computed for early rows
- Unknown field value (not request_count or resolution_minutes) — enum validation failure
- Null values in the selected numeric field — may produce null or partial mean values in output

## How this service works

Service request handling — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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 reports: (1) a deduplicated version of the input rows with exact duplicates removed, and (2) a trailing mean time series for the specified numeric field (request_count or resolution_minutes) computed over the given window size, based solely on 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/service-request-handling-exact-row-deduplication-trailing-mean-series-4773d0dd/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)