# Data Ingestion Batches — Numeric Interval Filter + Trailing Mean Series

> Data Ingestion Batches — Numeric Interval Filter + 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).

Applies a numeric interval filter and computes a trailing mean series on received_rows or accepted_rows fields from supplied data ingestion batch records (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-126?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-numeric-interval-filter-trailing-mean-series-bd934d38
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EiMfV6ACU62_QdidQk4gr

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-numeric-interval-filter-trailing-mean-series-bd934d38 -d '<json body>'
```

Example prompt: Analyze my data ingestion batch records — filter the accepted_rows field between 0 and 500, then compute a trailing mean series with a window of 3, across these batches: [2026-10-01, group-a, received=10, accepted=1], [2026-10-02, group-b, received=20, accepted=2], [2026-10-03, group-a, received=15, accepted=3].

## When to prefer this

Choose this endpoint when you have tabular data ingestion batch records (received_rows / accepted_rows) and need both a range-filtered view and a smoothed trailing mean series in a single low-cost call. It is ideal for lightweight, offline analytical tasks on datasets up to 200 rows where no live data lookup, prediction, or external integration is required. Prefer it over general-purpose analytics tools when the input is already structured ingestion batch data and you need two complementary statistical views returned together.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Field value not 'received_rows' or 'accepted_rows' — validation error
- Window size outside 2–200 range — validation error
- Minimum greater than maximum — may yield empty filtered set
- Null numeric values in key fields — may reduce effective row count in computations
- Missing required row fields (row_id, date, dataset_group) — schema validation failure

## How this service works

Data ingestion batches — Numeric interval filter + Trailing mean series: Numeric interval filter + 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 derived from the supplied batch records: (1) rows filtered to the specified numeric interval [minimum, maximum] on the chosen field, and (2) a trailing mean series computed over the specified window size for the same field — both operating on up to 200 input rows 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
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-numeric-interval-filter-trailing-mean-series-bd934d38/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)