# Data Ingestion Batches — String Normalisation + Numeric Distribution

> Data Ingestion Batches — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Runs string normalisation on dataset_group and numeric distribution analysis on received_rows or accepted_rows for up to 200 data ingestion batch records, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-string-normalisation-numeric-distribution-6f1a8ddd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zB2y6CRgyQzYdMYFYTcQF

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-numeric-distribution-6f1a8ddd -d '<json body>'
```

Example prompt: Can you run string normalisation on the dataset_group field and a numeric distribution report on the received_rows field for these 4 ingestion batch records: row-1 on 2026-10-01 with group-a, received=10, accepted=1; row-2 on 2026-10-02 with group-b, received=20, accepted=2; row-3 on 2026-10-03 with group-a, received=15, accepted=3; row-4 on 2026-10-04 with group-b, received=30, accepted=4?

## When to prefer this

Choose this endpoint when you need both string normalisation of categorical/group labels and a numeric distribution profile for ingestion row counts in a single $0.01 call covering up to 200 records. It is ideal for lightweight data quality checks on ingestion pipeline outputs where you need descriptive statistics and label standardisation without any live data lookup, prediction, or external enrichment.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Empty rows array — minimum 1 item required
- Invalid field enum value — must be 'received_rows' or 'accepted_rows'

## How this service works

Data ingestion batches — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 for the supplied batch records: (1) a string normalisation report for the dataset_group field showing standardised forms, case variants, and category counts; (2) a numeric distribution report for the selected field (received_rows or accepted_rows) including statistical measures such as min, max, mean, percentiles, and frequency distribution — all computed locally from the supplied 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-string-normalisation-numeric-distribution-6f1a8ddd/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)