# Numeric Precision Comparisons — Record Quality Audit, Exact Row Deduplication & Base-100 Series

> Numeric Precision Comparisons — Record Quality Audit, Exact Row Deduplication & 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 local analytical reports on numeric source/transformed value pairs: a record quality audit, exact row deduplication, and a base-100 index series — all computed offline with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-218?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-exact-row-a2731070
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CrH0FvBgNY5rcOh0RQ3yh

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-exact-row-a2731070 -d '<json body>'
```

Example prompt: Can you run the three-report analytics bundle on my numeric records — here are 10 rows with row_id, dataset_group, date, source_value, and transformed_value — I want the record quality audit, exact row deduplication, and a base-100 series rebased starting at index 0 on the source_value field.

## When to prefer this

Choose this endpoint when you need all three offline analytics — quality audit, deduplication, and base-100 reindexing — applied to a batch of up to 200 numeric source/transformed value pairs in a single $0.01 call. Ideal when no live data lookup, external enrichment, or prediction is needed and you want purely local, deterministic computation on supplied rows.

## Known failure modes

- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- row_id missing or blank — required field per row
- date field does not match YYYY-MM-DD pattern — validation error
- source_value or transformed_value outside ±1,000,000,000,000 — rejected
- base_index out of range 0–199 or exceeds actual row count — error
- Invalid field enum value (must be 'source_value' or 'transformed_value')

## How this service works

Numeric precision comparisons — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + 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 computed locally: (1) a record quality audit flagging anomalies or issues in the source_value/transformed_value pairs, (2) an exact row deduplication report identifying identical rows, and (3) a base-100 index series for the selected field (source_value or transformed_value) rebased at the specified base_index row. No external data is fetched.

## 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-exact-row-a2731070/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)