# Data Ingestion Batches — Exact Row Deduplication + Two-Measure Correlation

> Data Ingestion Batches — Exact Row Deduplication + Two-Measure Correlation 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).

Deduplicates rows and computes correlation between received_rows and accepted_rows for up to 200 data ingestion batch records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-050?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-exact-row-deduplication-two-measure-correlation-fed189f0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2uHc8e_EDAMLaNSc3j0V-

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-two-measure-correlation-fed189f0 -d '<json body>'
```

Example prompt: Can you deduplicate these ingestion batch records and tell me how correlated the received_rows and accepted_rows are? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 received and 1 accepted, row-2 on 2026-10-02 for group-b with 20 received and 2 accepted, row-3 on 2026-10-03 for group-a with 15 received and 3 accepted, and row-4 on 2026-10-04 for group-b with 30 received and 4 accepted.

## When to prefer this

Choose this endpoint when you have up to 200 data ingestion batch records with received_rows and accepted_rows metrics and need both exact duplicate removal and a correlation analysis between those two measures in a single low-cost call. Ideal for data engineers auditing pipeline throughput without needing an external analytics platform. Not suitable if you need more than 200 rows, more than two measures, predictive modeling, or live external data lookups.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, received_rows, accepted_rows) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Too few rows to compute meaningful correlation (e.g. single row) — degenerate correlation result
- Null values in received_rows or accepted_rows may reduce correlation sample size
- Payment of 0.01 USDC not received — x402 payment required response

## How this service works

Data ingestion batches — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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: (1) an exact row deduplication report identifying and removing duplicate records from the submitted batch, and (2) a Pearson or similar correlation report measuring the relationship between received_rows and accepted_rows across the deduplicated dataset. Both reports are 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-ingestion-batches-exact-row-deduplication-two-measure-correlation-fed189f0/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)