# Schema Conformity Analytics: Date-by-Category Pivot + Keyed Dataset Comparison

> Schema Conformity Analytics: Date-by-Category Pivot + Keyed Dataset Comparison 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 two local analytical reports on schema conformity data — a date-by-category pivot table and a keyed dataset comparison — for up to 200 rows of valid_records/checked_records data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-188?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/schema-conformity-analytics-date-by-category-pivot-keyed-dataset-a0f10ea3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PEooQieAKhXbFzLmFy50F

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 schema-conformity-analytics-date-by-category-pivot-keyed-dataset-a0f10ea3 -d '<json body>'
```

Example prompt: Take my two sets of schema conformity records — each with row_id, dataset_group, date, valid_records, and checked_records — and give me both the date-by-category pivot on valid_records and a keyed comparison between the two datasets, up to 200 rows each.

## When to prefer this

Choose this endpoint when you have schema conformity records (valid_records, checked_records) organized by dataset_group and date, and need both a pivot-table breakdown and a side-by-side keyed comparison in a single paid call. Ideal for data quality teams running periodic audits or regression checks after pipeline changes, where all data is supplied client-side and no external lookup is needed. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch analytical tasks on pre-collected conformity data.

## Known failure modes

- Input rows exceed 200 item limit — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors
- Date values not matching YYYY-MM-DD pattern fail schema validation
- Numeric fields outside ±1,000,000,000,000 range rejected
- Empty rows array returns an error
- Mismatched row_ids between primary and comparison datasets may result in unmatched rows in the comparison report

## How this service works

Schema conformity — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison for supplied schema conformity records (valid_records, checked_records). 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: (1) a date-by-category pivot table showing the selected metric (valid_records or checked_records) broken down by date and dataset_group, and (2) a keyed dataset comparison highlighting differences between the primary and comparison datasets matched on row_id. No external lookups or live data — all computation is local to the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_records",
     "checked_records"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "valid_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "checked_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "valid_records": 10,
     "checked_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "valid_records": 20,
     "checked_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "valid_records": 15,
     "checked_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "valid_records": 30,
     "checked_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_records",
    "checked_records"
   ],
   "type": "string",
   "default": "valid_records"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_records",
     "checked_records"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "valid_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "checked_records": {
      "type": [
       "number",

… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-analytics-date-by-category-pivot-keyed-dataset-a0f10ea3/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)