# Resource Bookings Data Quality & Analytics Bundle

> Resource Bookings Data Quality & Analytics Bundle is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs three analytical reports on resource booking records: record quality audit, string normalisation, and secondary-measure weighted mean — all computed locally on up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-09-205?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/resource-bookings-data-quality-analytics-bundle-af995099
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OpuSoxLZKFAiBlVK9GPL2

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 resource-bookings-data-quality-analytics-bundle-af995099 -d '<json body>'
```

Example prompt: Can you run a data quality audit, string normalisation, and weighted mean report on my resource bookings — here are 4 rows with row_id, team_group, date, booked_hours, and available_hours; use booked_hours as the primary field?

## When to prefer this

Choose this endpoint when you need three lightweight analytical operations — data quality auditing, string normalization, and weighted mean computation — on resource booking records in a single low-cost call. It is ideal for pre-processing scheduling or workforce data before reporting, when you want to validate data integrity and compute a utilisation-style weighted average without spinning up a full analytics platform. At $0.01 USDC for all three reports on up to 200 rows, it is economical for batch data hygiene workflows on booking datasets.

## Known failure modes

- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, date, booked_hours, available_hours) — validation error returned
- Invalid date format (non-YYYY-MM-DD) — pattern validation failure
- Field enum value not in ['booked_hours','available_hours'] — schema rejection
- Empty rows array — minItems violation
- Numeric values outside allowed range — schema error

## How this service works

Resource bookings — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied resource bookings records (booked_hours, available_hours). 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 separate analytical reports in a single response: (1) a record quality audit flagging missing values, format violations, and anomalies; (2) string-normalised versions of text fields like team_group; and (3) a secondary-measure weighted mean of the selected numeric field (booked_hours or available_hours) weighted by the other measure — all computed on the supplied rows without any external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/resource-bookings-data-quality-analytics-bundle-af995099/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)