# Reservoir Observations — Record Quality Audit + Grouped Numeric Summary

> Reservoir Observations — Record Quality Audit + Grouped Numeric Summary 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 two analytical reports on supplied reservoir observation rows: a record quality audit and a grouped numeric summary of stored_m3 or capacity_m3 values, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-19-005?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/reservoir-observations-record-quality-audit-grouped-numeric-summary-8b983061
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zJY3IWXZ8IecqAWw6LFgu

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 reservoir-observations-record-quality-audit-grouped-numeric-summary-8b983061 -d '<json body>'
```

Example prompt: Can you audit the data quality and produce a grouped numeric summary for these reservoir observation records — I have up to 50 rows with stored_m3 and capacity_m3 values across several station groups, and I want the summary focused on stored_m3?

## When to prefer this

Choose this endpoint when you have raw reservoir observation data (stored_m3, capacity_m3) and need both a data quality audit and a grouped numeric summary in a single low-cost call, without requiring external lookups, live sensor feeds, or predictive modeling. It is ideal for pre-processing pipelines, reporting workflows, or data validation steps before feeding data into downstream hydrological models.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, station_group, date, stored_m3, capacity_m3) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- All-null numeric fields may produce empty or degenerate summary statistics
- Submitting zero rows returns an error due to minItems:1 constraint

## How this service works

Reservoir observations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary for supplied reservoir observations records (stored_m3, capacity_m3). 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: (1) a record quality audit identifying issues such as missing values, out-of-range figures, or malformed dates across the supplied rows; and (2) a grouped numeric summary (e.g. min, max, mean, count) for the selected numeric field (stored_m3 or capacity_m3), aggregated by station_group.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "stored_m3",
     "capacity_m3"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "stored_m3": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "capacity_m3": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "stored_m3": 10,
     "capacity_m3": 1,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "stored_m3": 20,
     "capacity_m3": 2,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "stored_m3": 15,
     "capacity_m3": 3,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "stored_m3": 30,
     "capacity_m3": 4,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "stored_m3",
    "capacity_m3"
   ],
   "type": "string",
   "default": "stored_m3"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/reservoir-observations-record-quality-audit-grouped-numeric-summary-8b983061/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)