# Shift Coverage Deduplication & Base-100 Series Analyzer

> Shift Coverage Deduplication & Base-100 Series Analyzer 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).

Deduplicates shift coverage records and computes a base-100 indexed time series for covered_hours or required_hours across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-15-047?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/shift-coverage-deduplication-base-100-series-analyzer-3bc011ea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jjmS2RBOLLDzkhTBHZ8LP

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 shift-coverage-deduplication-base-100-series-analyzer-3bc011ea -d '<json body>'
```

Example prompt: I have shift coverage data for two teams over October 2026 — can you deduplicate the rows and then build a base-100 index series on covered_hours starting from row index 0? Here are the records: row-1 group-a 2026-10-01 covered=10 required=1, row-2 group-b 2026-10-02 covered=20 required=2, row-3 group-a 2026-10-03 covered=15 required=3, row-4 group-b 2026-10-04 covered=30 required=4.

## When to prefer this

Choose this endpoint when you need to both clean duplicate shift records and produce a normalized base-100 time series from your own supplied data in a single $0.01 call, with no external data lookups or predictions. It is ideal for operations analysts who want two distinct analytical outputs — deduplication and indexing — from up to 200 shift coverage rows without involving external staffing systems or live scheduling APIs.

## Known failure modes

- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, team_group, date, covered_hours, required_hours) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- base_index out of range (must be 0–199 and within submitted row count)
- Field value not in enum ['covered_hours', 'required_hours']
- Null values in covered_hours or required_hours may affect index computation
- Payment failure via x402 protocol blocks execution

## How this service works

Shift coverage — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied shift coverage records (covered_hours, required_hours). 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 for the submitted shift coverage rows: (1) an exact row deduplication report identifying and removing identical records, and (2) a base-100 indexed time series for the selected field (covered_hours or required_hours) anchored at the specified base_index row, enabling normalized trend analysis across up to 200 rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "covered_hours",
     "required_hours"
    ],
    "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
     },
     "covered_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "required_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "covered_hours": 10,
     "required_hours": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "covered_hours": 20,
     "required_hours": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "covered_hours": 15,
     "required_hours": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "covered_hours": 30,
     "required_hours": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "covered_hours",
    "required_hours"
   ],
   "type": "string",
   "default": "covered_hours"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/shift-coverage-deduplication-base-100-series-analyzer-3bc011ea/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)