# Schema Conformity Analytics: Equal-Width Histogram + Date-by-Category Pivot

> Schema Conformity Analytics: Equal-Width Histogram + 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 2026-10-18).

Generates two analytical reports from schema conformity data: an equal-width histogram and a date-by-category pivot table, for up to 200 rows of valid/checked record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-173?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-equal-width-histogram-date-by-category-be9e8909
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ibCD_aKmHPiSLQihyRkSt

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-equal-width-histogram-date-by-category-be9e8909 -d '<json body>'
```

Example prompt: I have 150 rows of schema conformity data with fields row_id, dataset_group, date, valid_records, and checked_records — can you run both an equal-width histogram (10 bins) on valid_records and a date-by-category pivot for all of them?

## When to prefer this

Choose this endpoint when you need two simultaneous local analytics reports — a histogram and a date-by-category pivot — on schema conformity data (valid_records, checked_records) for up to 200 rows, at a fixed $0.01 USDC cost. Ideal for data engineering pipelines that need quick, no-external-lookup distribution and trend summaries of validation metrics across dataset groups and time periods. Prefer this over general-purpose analytics tools when you want a bundled, reproducible, schema-aware report with predictable pricing.

## Known failure modes

- More than 200 rows submitted — request exceeds row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- bins value outside range 1–30 causes schema validation error
- Missing required fields (row_id, date, valid_records, checked_records) cause item-level rejection
- Null values in the selected field may produce sparse or empty histogram bins
- field enum value not matching 'valid_records' or 'checked_records' causes a validation error

## How this service works

Schema conformity — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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 analytical reports: (1) an equal-width histogram showing the frequency distribution of the selected field (valid_records or checked_records) divided into the specified number of bins, and (2) a date-by-category pivot table aggregating the field values across dataset_group and date dimensions — all computed locally from the supplied rows, with no external data access.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-analytics-equal-width-histogram-date-by-category-be9e8909/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)