# Reservoir Observations — Exact Row Deduplication + Trailing Mean Series

> Reservoir Observations — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Deduplicates exact duplicate rows and computes a trailing moving-average series for supplied reservoir observation records (stored_m3, capacity_m3) — up to 200 rows, two reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-19-045?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/reservoir-observations-exact-row-deduplication-trailing-mean-series-cea6e37d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WK7AkRcL8YNEAbW39uJmx

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-exact-row-deduplication-trailing-mean-series-cea6e37d -d '<json body>'
```

Example prompt: I have 150 daily reservoir observation records with stored_m3 and capacity_m3 values across several station groups — can you deduplicate them exactly and then compute a trailing mean series over a 7-day window on the stored_m3 field?

## When to prefer this

Choose this endpoint when you have tabular reservoir observation data (stored_m3, capacity_m3) that needs both exact deduplication and a rolling mean smoothing in a single $0.01 call. It is ideal for batch preprocessing of up to 200 rows before ingestion into dashboards or reports. Prefer this over general-purpose analytics tools when you specifically need both deduplication and trailing mean in one lightweight, low-cost operation on hydrological time series data with no external dependencies.

## Known failure modes

- Input array is empty or exceeds 200 rows — rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection or parse error
- Window size larger than the number of rows results in incomplete or empty trailing mean series
- Null values in stored_m3 or capacity_m3 may produce gaps or NaN entries in the mean series
- Missing required fields (row_id, station_group, date) cause schema validation failure
- Payment not included or insufficient USDC causes 402 rejection before processing

## How this service works

Reservoir observations — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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

Two analytical reports: (1) a deduplicated version of the input rows with exact duplicate records removed, and (2) a trailing mean series computed over the specified rolling window for the chosen field (stored_m3 or capacity_m3), grouped or ordered by date and station_group. Both reports are derived entirely from the supplied input data with no external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/reservoir-observations-exact-row-deduplication-trailing-mean-series-cea6e37d/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)