# Third-Party Reviews Numeric Interval Filter + Date by Category Pivot

> Third-Party Reviews Numeric Interval Filter + 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 2026-10-28).

Filters third-party review rows by a numeric range on a chosen field and pivots date-based review data by category group, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-24-133?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/third-party-reviews-numeric-interval-filter-date-by-category-pivot-6b92c6f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6apUf5mHBuFih3y5lkqmg

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 third-party-reviews-numeric-interval-filter-date-by-category-pivot-6b92c6f1 -d '<json body>'
```

Example prompt: I have 150 rows of third-party vendor review records with dates, control groups, vendors_reviewed, and outstanding_actions — can you filter them to only show rows where vendors_reviewed is between 10 and 50, and also give me a date-by-category pivot on that same dataset?

## When to prefer this

Use this endpoint when you need two simultaneous local analytical operations on third-party review data — a numeric range filter plus a date-by-category pivot — in a single cheap call. Prefer it over general analytics platforms when the dataset is 200 rows or fewer and the fields are specifically vendors_reviewed and outstanding_actions with control_group and date dimensions. It is not suitable for live data lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Minimum value greater than maximum value — illogical range produces empty filter
- Field enum value not one of vendors_reviewed or outstanding_actions — schema error
- Null numeric values in chosen field — rows may be excluded from interval filter

## How this service works

Third party reviews — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot for supplied third party reviews records (vendors_reviewed, outstanding_actions). 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

Two analytical reports derived from the supplied rows: (1) a numeric interval-filtered subset of rows where the chosen field (vendors_reviewed or outstanding_actions) falls within the specified minimum/maximum bounds, and (2) a date-by-category pivot table grouping review metrics by date and control_group. Both reports are computed locally on the submitted data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "control_group",
     "date",
     "vendors_reviewed",
     "outstanding_actions"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "control_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "vendors_reviewed": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "outstanding_actions": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "control_group": "group-a",
     "vendors_reviewed": 10,
     "outstanding_actions": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "control_group": "group-b",
     "vendors_reviewed": 20,
     "outstanding_actions": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "control_group": "group-a",
     "vendors_reviewed": 15,
     "outstanding_actions": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "control_group": "group-b",
     "vendors_reviewed": 30,
     "outstanding_actions": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "vendors_reviewed",
    "outstanding_actions"
   ],
   "type": "string",
   "default": "vendors_reviewed"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/third-party-reviews-numeric-interval-filter-date-by-category-pivot-6b92c6f1/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)
