# Data Ingestion Batches — Exact Row Deduplication + Adjacent Row Changes

> Data Ingestion Batches — Exact Row Deduplication + Adjacent Row Changes 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).

Analyzes up to 200 data ingestion batch records to produce two reports: exact row deduplication and adjacent row change detection across received_rows and accepted_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-046?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-adjacent-row-changes-9e6d80ea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5owXp188ZlK2XhlTyiBT8

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-adjacent-row-changes-9e6d80ea -d '<json body>'
```

Example prompt: I have a batch of data ingestion records with received_rows and accepted_rows — can you run exact row deduplication and adjacent row change detection on them? Here are 4 rows: 2026-10-01 row-1 group-a received=10 accepted=1, 2026-10-02 row-2 group-b received=20 accepted=2, 2026-10-03 row-3 group-a received=15 accepted=3, 2026-10-04 row-4 group-b received=30 accepted=4. Use received_rows as the analysis field.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical reports on data ingestion batch records specifically tracking received_rows and accepted_rows — without any external API calls, live lookups, or ML predictions. It is cost-effective at $0.01 USDC for two simultaneous reports on up to 200 rows, making it ideal for quick data quality checks within ETL or data pipeline workflows where deduplication and sequential change detection are needed together.

## Known failure modes

- Batch exceeds 200 rows — request will be rejected; split into smaller batches
- Missing required fields (row_id, dataset_group, date, received_rows, or accepted_rows) cause validation errors
- Invalid date format (must be YYYY-MM-DD) triggers schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (must be 'received_rows' or 'accepted_rows') causes failure

## How this service works

Data ingestion batches — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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 submitted batch: (1) an exact row deduplication report identifying which rows are identical across all fields, and (2) an adjacent row changes report flagging where consecutive rows differ in the selected field (received_rows or accepted_rows). Up to 200 rows are supported per call; no external lookups or predictions are made.

## 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-exact-row-deduplication-adjacent-row-changes-9e6d80ea/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)