# Process Handoffs — Exact Row Deduplication + Daily Sum Series

> Process Handoffs — Exact Row Deduplication + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Deduplicates exact rows and computes daily sum time series for process handoff records (handoff_count, wait_minutes) across team groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-18-044?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/process-handoffs-exact-row-deduplication-daily-sum-series-0df2bb97
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WeULvYTiTYOFa2eYwW0kH

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 process-handoffs-exact-row-deduplication-daily-sum-series-0df2bb97 -d '<json body>'
```

Example prompt: Deduplicate my process handoff records and compute a daily sum series for handoff_count — here are the rows: team-a logged 10 handoffs and 5 wait minutes on 2025-01-01 (row-1), team-b logged 20 handoffs and 8 wait minutes on 2025-01-02 (row-2), and team-a logged 10 handoffs and 5 wait minutes on 2025-01-01 again (row-3, duplicate of row-1).

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a daily sum time series on process handoff data (handoff_count or wait_minutes) in a single $0.01 call covering up to 200 rows. It is ideal for operations analytics workflows where data quality (duplicate removal) and temporal aggregation are needed together without any external data lookup or prediction.

## Known failure modes

- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, team_group) in one or more rows — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Field enum value not recognized (must be 'handoff_count' or 'wait_minutes') — error response
- Empty rows array — minimum 1 item required

## How this service works

Process handoffs — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series for supplied process handoffs records (handoff_count, wait_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 independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the supplied handoff data, and (2) a daily sum time series aggregating the selected measure (handoff_count or wait_minutes) by date across all team groups. Both reports are computed locally using shared analytical engines on up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "handoff_count",
     "wait_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
     },
     "wait_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "handoff_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "wait_minutes": 1,
     "handoff_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "wait_minutes": 2,
     "handoff_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "wait_minutes": 3,
     "handoff_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "wait_minutes": 4,
     "handoff_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "handoff_count",
    "wait_minutes"
   ],
   "type": "string",
   "default": "handoff_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/process-handoffs-exact-row-deduplication-daily-sum-series-0df2bb97/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)