# Shot Schedules — Exact Row Deduplication + Numeric Interval Filter

> Shot Schedules — Exact Row Deduplication + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Deduplicates shot schedule rows and filters them by a numeric interval (min/max) on planned_hours or actual_hours, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-13-043?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/shot-schedules-exact-row-deduplication-numeric-interval-filter-423213a2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vRwsWy621XYUJb71mA8Zt

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 shot-schedules-exact-row-deduplication-numeric-interval-filter-423213a2 -d '<json body>'
```

Example prompt: Can you deduplicate my shot schedule records and filter them to only show rows where planned_hours is between 0 and 100? I have up to 50 rows with fields: row_id, asset_group, date, planned_hours, and actual_hours.

## When to prefer this

Choose this endpoint when you need to simultaneously deduplicate shot schedule records and apply a numeric range filter on hours fields, receiving two independent analytical reports in a single $0.01 call. Prefer it over general-purpose data tools when your data conforms to the shot schedule schema (row_id, asset_group, date, planned_hours, actual_hours) and you need both cleaning and filtering in one step without any external API calls or live data lookups.

## Known failure modes

- Rows array is empty or missing — validation error returned
- More than 200 rows submitted — request rejected with max items error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Minimum value greater than maximum value — may return empty filtered result set
- Field selector value outside enum (not 'planned_hours' or 'actual_hours') — schema rejection
- Null numeric values in planned_hours or actual_hours may be excluded from interval filter results

## How this service works

Shot schedules — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter for supplied shot schedules records (planned_hours, actual_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 analytical reports based on the supplied shot schedule data: one covering exact row deduplication results and one covering numeric interval filtering on the selected field (planned_hours or actual_hours), both computed locally without any external lookup or prediction.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "planned_hours",
     "actual_hours"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "actual_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "planned_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "actual_hours": 1,
     "planned_hours": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "actual_hours": 2,
     "planned_hours": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "actual_hours": 3,
     "planned_hours": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "actual_hours": 4,
     "planned_hours": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "planned_hours",
    "actual_hours"
   ],
   "type": "string",
   "default": "planned_hours"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/shot-schedules-exact-row-deduplication-numeric-interval-filter-423213a2/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)