# Export Validation — Numeric Interval Filter + Keyed Dataset Comparison

> Export Validation — Numeric Interval Filter + 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 2026-10-19).

Applies a numeric interval filter to a selected field and compares two export validation datasets by row key, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-134?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/export-validation-numeric-interval-filter-keyed-dataset-comparison-1d245c63
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kTbLEf5mUYAj_TXVKnMRc

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 export-validation-numeric-interval-filter-keyed-dataset-comparison-1d245c63 -d '<json body>'
```

Example prompt: I have two batches of export validation records (up to 200 rows each, with valid_rows and exported_rows per date and dataset group) — can you run a numeric interval filter on the valid_rows field and compare the two datasets by row key to flag any discrepancies?

## When to prefer this

Choose this endpoint when you need to simultaneously run a numeric interval filter and a keyed row-by-row comparison on export validation records (valid_rows, exported_rows) within a single paid call. It is purpose-built for export audit workflows where you supply two datasets and need both outlier/interval detection and cross-dataset discrepancy reporting in one step. Prefer it over generic analytics services when your data fits the export validation schema (row_id, dataset_group, date, valid_rows, exported_rows) and you want a low-cost ($0.01 USDC) serverless analysis with no external dependencies.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch error
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Empty rows array (minItems:1 violated) — request rejected
- Mismatched row_ids between primary and comparison datasets may produce incomplete comparison results

## How this service works

Export validation — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied export validation records (valid_rows, exported_rows). 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 interval filter report identifying rows where the selected field (valid_rows or exported_rows) falls within or outside a defined interval, and (2) a keyed dataset comparison report highlighting differences between the two supplied datasets matched by row_id. Up to 200 rows processed per call. No external data or live lookups are used.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_rows",
     "exported_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "valid_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "exported_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "valid_rows": 10,
     "dataset_group": "group-a",
     "exported_rows": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "valid_rows": 20,
     "dataset_group": "group-b",
     "exported_rows": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "valid_rows": 15,
     "dataset_group": "group-a",
     "exported_rows": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "valid_rows": 30,
     "dataset_group": "group-b",
     "exported_rows": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_rows",
    "exported_rows"
   ],
   "type": "string",
   "default": "valid_rows"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_rows",
     "exported_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "valid_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "exported_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 10000000
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/export-validation-numeric-interval-filter-keyed-dataset-comparison-1d245c63/health.json
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