# Data Ingestion Batches — Category Frequencies + Trailing Mean Series

> Data Ingestion Batches — Category Frequencies + 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 2026-10-19).

Analyzes data ingestion batch records by computing category frequencies and a trailing mean series for received_rows or accepted_rows over up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-103?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-category-frequencies-trailing-mean-series-cba57bce
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mh67HHEM6838d1zwYIqyu

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-category-frequencies-trailing-mean-series-cba57bce -d '<json body>'
```

Example prompt: Analyze my data ingestion batch records — I have 50 rows with dataset_group, date, received_rows, and accepted_rows — and give me both the category frequency breakdown by dataset_group and the trailing mean series for accepted_rows using a window of 5.

## When to prefer this

Choose this endpoint when you need two fast, offline analytical reports — category frequency counts and a trailing mean series — on up to 200 data ingestion batch rows without requiring live data lookup or external enrichment. It is ideal for lightweight ETL monitoring, data quality reviews, or stakeholder summaries where the data is already collected and you need quick distribution and trend insights in a single low-cost call ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside 2–200 range — rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — schema error
- Numeric values outside allowed range (-1e12 to 1e12) — validation failure
- Non-string row_id exceeding 80 characters — schema error

## How this service works

Data ingestion batches — Category frequencies + Trailing mean series: Category frequencies + 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 analytical reports: (1) category frequencies showing how often each dataset_group value appears across the supplied rows, and (2) a trailing mean series for the selected numeric field (received_rows or accepted_rows) computed over the specified sliding window size — both derived purely from the submitted data with no external lookups.

## 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-category-frequencies-trailing-mean-series-cba57bce/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)