# Process Handoffs — Record Quality Audit + Exact Row Deduplication + Base-100 Series

> Process Handoffs — Record Quality Audit + Exact Row Deduplication + Base-100 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).

Runs three local analytical reports on process handoff records: a record quality audit, exact row deduplication, and a base-100 indexed series for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-18-218?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-record-quality-audit-exact-row-deduplication-base-4959a847
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aiqfhnGSnqTCmNLBRmxp-

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-record-quality-audit-exact-row-deduplication-base-4959a847 -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact row deduplication, and a base-100 series on my process handoff data — here are 4 rows for group-a and group-b from October 2026, using handoff_count as the measure and row 0 as the base index?

## When to prefer this

Choose this endpoint when you need three complementary data quality and analytical operations on process handoff records in a single API call at minimal cost ($0.01 USDC). It is ideal when you want to simultaneously validate data quality, remove duplicate rows, and produce a normalized time-indexed series without any external data enrichment or live lookups. Prefer it over single-purpose endpoints when your dataset fits within 200 rows and you need all three reports together.

## Known failure modes

- Exceeding 200 rows results in rejection or truncation
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, team_group, date, handoff_count, wait_minutes) causes schema rejection
- base_index out of range (>=row count) causes indexing failure
- All-null values in the selected field may produce empty or degenerate base-100 series
- Malformed JSON input returns 400-level error

## How this service works

Process handoffs — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied process handoffs records (handoff_count, wait_minutes). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging nulls, missing values, and data anomalies; (2) an exact row deduplication report identifying duplicate records; and (3) a base-100 indexed series for the selected numeric field (handoff_count or wait_minutes) anchored at the specified base row. All analysis is performed locally 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",
     "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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/process-handoffs-record-quality-audit-exact-row-deduplication-base-4959a847/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)