# Data Ingestion Batches — Two-Measure Correlation + Date by Category Pivot

> Data Ingestion Batches — Two-Measure Correlation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Computes a two-measure correlation (received_rows vs accepted_rows) and a date-by-category pivot table for up to 200 supplied data ingestion batch records in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-182?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-ingestion-batches-two-measure-correlation-date-by-category-pivot-b6139885
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_j9q7o0TRKMjTHpFKvWzgp

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-two-measure-correlation-date-by-category-pivot-b6139885 -d '<json body>'
```

Example prompt: Can you run a correlation between received_rows and accepted_rows plus a date-by-category pivot on these ingestion batch records I'm uploading — there are about 80 rows covering multiple dataset groups?

## When to prefer this

Choose this endpoint when you have tabular data ingestion batch records (with received_rows and accepted_rows metrics) and need both a correlation analysis and a date-by-category pivot in a single low-cost call. It is ideal for ETL pipeline monitoring, data quality auditing, and acceptance rate analysis on datasets up to 200 rows, where you supply the data directly rather than connecting to a live database.

## Known failure modes

- Fewer than 1 row submitted — rejected at schema validation
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — schema validation error
- Invalid date format (must be YYYY-MM-DD) — pattern validation failure
- Null values for both measures across all rows — correlation undefined
- Payment not included or insufficient — 402 Payment Required

## How this service works

Data ingestion batches — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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) a two-measure correlation result quantifying the relationship between received_rows and accepted_rows across the supplied records, and (2) a pivot table cross-tabulating dates against dataset_group categories with the selected measure's values — all computed locally from the submitted 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-two-measure-correlation-date-by-category-pivot-b6139885/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)