# Data Ingestion Batches — Daily Sum Series + Trailing Mean Series

> Data Ingestion Batches — Daily Sum Series + 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 2026-10-21).

Computes daily sum and trailing mean analytics for received_rows and accepted_rows across up to 200 data ingestion batch records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-136?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/data-ingestion-batches-daily-sum-series-trailing-mean-series-e4ebc9b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LZj6jscdFBoB5rv6bcmG2

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 data-ingestion-batches-daily-sum-series-trailing-mean-series-e4ebc9b1 -d '<json body>'
```

Example prompt: Calculate the daily sum series and trailing mean series for my ingestion batch data — I have records with received_rows and accepted_rows across multiple dataset groups, I want to analyze the accepted_rows field with a window of 7, here are my rows: [{"row_id":"r1","dataset_group":"group-a","date":"2025-01-01","received_rows":100,"accepted_rows":90}, ...]

## When to prefer this

Choose this endpoint when you have pre-collected data ingestion batch records and need both a daily aggregation (sum) and a smoothed trend (trailing mean) in a single paid call. Ideal for pipeline monitoring, ETL health checks, or data quality reporting where you already hold the raw row data locally and want two statistical views at once without external data fetching.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation failure
- Invalid date format not matching YYYY-MM-DD pattern
- Window value outside allowed range (must be 2–200)
- Numeric values outside allowed range (±1,000,000,000,000)
- Empty rows array (minItems: 1 not met)

## How this service works

Data ingestion batches — Daily sum series + Trailing mean series: Daily sum series + Trailing mean series for supplied data ingestion batches records (received_rows, accepted_rows). 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 independent analytical reports: (1) a daily sum series aggregating the chosen metric (received_rows or accepted_rows) by date, and (2) a trailing mean series computed over the specified window size — both derived from the supplied ingestion batch records, up to 200 rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-daily-sum-series-trailing-mean-series-e4ebc9b1/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)