# Data Ingestion Batches — Exact Row Deduplication + Base-100 Series Analytics

> Data Ingestion Batches — Exact Row Deduplication + 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 2026-10-19).

Performs exact row deduplication and Base-100 index series analysis on up to 200 supplied data ingestion batch records (received_rows, accepted_rows), returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-047?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-exact-row-deduplication-base-100-series-dd4f3be4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NAkhxDm_GZnfxEZSmWm0s

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-exact-row-deduplication-base-100-series-dd4f3be4 -d '<json body>'
```

Example prompt: Run deduplication and a Base-100 index series on my ingestion batch data — I have rows for group-a and group-b from 2026-10-01 to 2026-10-04, with received_rows values of 10, 20, 15, 30 and accepted_rows of 1, 2, 3, 4; use received_rows as the field and start the base index at row 0.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a Base-100 normalization/index series on data ingestion batch records (received_rows or accepted_rows) in a single low-cost call. It is best for offline/supplied-data analytics on up to 200 rows where no live data lookup, prediction, or external enrichment is needed. At $0.01 USDC for 2 reports it is highly cost-effective for ETL data quality checks.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range (0–199) relative to supplied rows causes error
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems:1 not met) causes failure

## How this service works

Data ingestion batches — Exact row deduplication + Base-100 series: Exact row deduplication + 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 2 independent analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the supplied batch, and (2) a Base-100 index series computed over the selected metric field (received_rows or accepted_rows) starting from the specified base_index row. Both reports are computed locally on 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"
  },
  "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-exact-row-deduplication-base-100-series-dd4f3be4/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)