# Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Base-100 Series

> Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Base-100 Series 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).

Runs three independent analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 rows of source/transformed numeric value pairs.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-201?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-record-quality-audit-string-79b9cee6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LCjBrZpA5y13WjbMO44PO

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-record-quality-audit-string-79b9cee6 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and base-100 index series on these 50 rows of source_value and transformed_value pairs from group-a and group-b, using source_value as the field and row index 0 as the base?

## When to prefer this

Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and base-100 series — on numeric source/transformed value pairs in a single low-cost call. It is ideal for validating ETL pipeline outputs, auditing data transformations, or rebasing a numeric series, especially when working offline with supplied data (no external API calls made). Prefer it over single-report endpoints when you need all three reports at once for up to 200 rows.

## Known failure modes

- Exceeding 200 rows causes rejection — trim input to at most 200 rows
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) per row causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- base_index out of range (0–199) relative to the number of rows supplied returns an error
- Null source_value and transformed_value in all rows may produce empty or degenerate series output
- Payment of 0.01 USDC not included or declined results in 402 Payment Required

## How this service works

Numeric precision comparisons — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging completeness and integrity issues across the supplied rows, (2) a string normalisation report highlighting inconsistencies in text fields, and (3) a base-100 index series rebasing the selected numeric field relative to the chosen base row — all 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-record-quality-audit-string-79b9cee6/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)