# Competitor Supplied Prices — Numeric Interval Filter + Two-Measure Correlation

> Competitor Supplied Prices — Numeric Interval Filter + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).

Filters competitor price records by a numeric interval and computes correlation between list_price and package_quantity, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-131?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/competitor-supplied-prices-numeric-interval-filter-two-measure-f0c7bee6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_U8TcvDOW3vXnUOWMt-cVP

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 competitor-supplied-prices-numeric-interval-filter-two-measure-f0c7bee6 -d '<json body>'
```

Example prompt: I have competitor pricing records with list prices and package quantities — can you filter rows where list_price is between 10 and 500, then compute the correlation between list_price and package_quantity across all our competitor groups and dates, and give me both analytical reports?

## When to prefer this

Choose this endpoint when you have up to 200 rows of competitor pricing data already in hand and need both a numeric interval filter and a two-measure statistical correlation between list_price and package_quantity in a single low-cost call. Prefer it over general analytics pipelines when you want local, offline computation with no external lookups, and when you specifically need the paired interval-filter + correlation output format at $0.01 per call.

## Known failure modes

- Empty rows array or missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation errors
- Exceeding 200 rows returns an error or truncation
- minimum greater than maximum produces empty filter results or an error
- Non-date-formatted date strings fail schema pattern validation
- Null values in both measure columns may cause correlation to be undefined or NaN

## How this service works

Competitor supplied prices — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied competitor supplied prices records (list_price, package_quantity). 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 independent analytical reports: one covering the interval-filtered subset of the supplied competitor pricing rows (filtered by a min/max range on the chosen numeric field), and one computing the Pearson or equivalent correlation between list_price and package_quantity across the filtered dataset. No external data is fetched; all computation is performed locally on the submitted rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "list_price",
     "package_quantity"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "list_price": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "package_quantity": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "list_price": 10,
     "company_group": "group-a",
     "package_quantity": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "list_price": 20,
     "company_group": "group-b",
     "package_quantity": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "list_price": 15,
     "company_group": "group-a",
     "package_quantity": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "list_price": 30,
     "company_group": "group-b",
     "package_quantity": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "list_price",
    "package_quantity"
   ],
   "type": "string",
   "default": "list_price"
  },
  "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/competitor-supplied-prices-numeric-interval-filter-two-measure-f0c7bee6/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)