# Numeric Precision Comparisons — Row Ordering & Adjacent Row Changes

> Numeric Precision Comparisons — Row Ordering & 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 2026-10-15).

Analyzes supplied numeric source/transformed value pairs by computing numeric row ordering and adjacent row-to-row changes, delivering two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-116?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numeric-precision-comparisons-row-ordering-adjacent-row-changes-5adc47d0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mKP3jjqsI_0GlahtsyRlX

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 numeric-precision-comparisons-row-ordering-adjacent-row-changes-5adc47d0 -d '<json body>'
```

Example prompt: I have 50 rows of source and transformed numeric values by date — can you run a numeric row ordering report and adjacent row changes analysis on them using the source_value field?

## When to prefer this

Choose this endpoint when you have up to 200 rows of paired numeric data (source and transformed values) and need both a ranked ordering of those rows and a sequential delta analysis between adjacent rows in a single call. It is ideal for data quality audits, ETL validation, and time-series change detection where no external data lookup or prediction is needed — just pure local computation on your supplied dataset.

## Known failure modes

- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with max items error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 — rejected
- Invalid field enum value (not source_value or transformed_value) — validation error
- Null values in the selected field may affect ordering and delta calculations

## How this service works

Numeric precision comparisons — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied numeric precision comparisons records (source_value, transformed_value). 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 numeric row ordering report ranking the supplied rows by the selected field, and (2) an adjacent row changes report showing the difference between consecutive rows for the selected numeric field (source_value or transformed_value). 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",
     "source_value",
     "transformed_value"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transformed_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_value": 10,
     "dataset_group": "group-a",
     "transformed_value": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_value": 20,
     "dataset_group": "group-b",
     "transformed_value": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_value": 15,
     "dataset_group": "group-a",
     "transformed_value": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_value": 30,
     "dataset_group": "group-b",
     "transformed_value": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "source_value",
    "transformed_value"
   ],
   "type": "string",
   "default": "source_value"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-row-ordering-adjacent-row-changes-5adc47d0/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)