# Data Ingestion Batches — Daily Sum Series + Base-100 Series Analytics

> Data Ingestion Batches — Daily Sum Series + Base-100 Series Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Computes two analytical reports (daily sum series and base-100 indexed series) for data ingestion batch records (received_rows and accepted_rows) over up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-138?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-daily-sum-series-base-100-series-analytics-e3dde30e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_b9UqHBKC0WGmaYU1-fftT

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-base-100-series-analytics-e3dde30e -d '<json body>'
```

Example prompt: Can you run both a daily sum series and a base-100 indexed series on my data ingestion batch records? I have rows from group-a and group-b with received_rows and accepted_rows for dates in October 2026 — use received_rows as the field and set base_index to 0.

## When to prefer this

Choose this endpoint when you have raw data ingestion batch records (received_rows, accepted_rows) and need both a daily aggregated sum series and a base-100 normalized trend series in a single call. It is ideal for pipeline monitoring dashboards, ETL quality reporting, or any scenario requiring two complementary analytical views on the same ingestion dataset without external data lookup or prediction.

## Known failure modes

- Input array is empty or missing required fields (row_id, dataset_group, date, received_rows, accepted_rows)
- Date values do not match expected YYYY-MM-DD format — pattern validation failure
- base_index out of range (must be 0–199 and within array length)
- More than 200 rows submitted — maxItems limit exceeded
- Numeric field values outside allowed range (±1,000,000,000,000)
- Malformed JSON body returns validation error

## How this service works

Data ingestion batches — Daily sum series + Base-100 series: Daily sum series + Base-100 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 over the supplied ingestion batch rows: (1) a daily sum series aggregating the chosen field (received_rows or accepted_rows) by date, and (2) a base-100 indexed series normalizing values relative to the specified base_index row, enabling trend comparison across time.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-daily-sum-series-base-100-series-analytics-e3dde30e/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)