# Data Ingestion Batches — String Normalisation + Daily Sum Series

> Data Ingestion Batches — String Normalisation + Daily Sum 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).

Runs two local analytical reports on supplied data ingestion batch records: string normalisation and daily sum series for received_rows or accepted_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-027?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-string-normalisation-daily-sum-series-eebe84ad
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WScvQRbmHwo0K6mqJlcYO

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-string-normalisation-daily-sum-series-eebe84ad -d '<json body>'
```

Example prompt: Can you run string normalisation and a daily sum series on my ingestion batch records — here are 4 rows with row IDs row-1 through row-4, dataset groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, received_rows values of 10, 20, 15, and 30, accepted_rows of 1, 2, 3, and 4 — and analyse the received_rows field?

## When to prefer this

Choose this endpoint when you need two quick local analytical reports — string normalisation and a daily sum series — on data ingestion batch records (up to 200 rows) without requiring any external data lookup, prediction, or live data source. It is well-suited for data engineering and ETL pipeline monitoring workflows where you want standardised group labels and date-aggregated row counts in a single cheap call ($0.01 USDC for both reports).

## Known failure modes

- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation error
- More than 200 rows submitted exceeds maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Unrecognized field enum value (not 'received_rows' or 'accepted_rows') causes error
- Empty rows array (minItems: 1 violated) returns error
- Payment failure over x402 protocol blocks processing

## How this service works

Data ingestion batches — String normalisation + Daily sum series: String normalisation + Daily sum 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 for up to 200 supplied rows: (1) a string normalisation report standardising text fields such as dataset_group, and (2) a daily sum series aggregating the selected numeric field (received_rows or accepted_rows) by date. All computation is performed locally with no external lookups or predictions.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-string-normalisation-daily-sum-series-eebe84ad/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)