# Competitor Supplied Prices — Daily Sum Series + Adjacent Row Changes

> Competitor Supplied Prices — Daily Sum Series + Adjacent Row Changes 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).

Computes a daily sum time series and adjacent row changes for up to 200 supplied competitor price records (list_price or package_quantity) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-137?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/competitor-supplied-prices-daily-sum-series-adjacent-row-changes-6588c857
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LqPLoVuthh4wXbBMKgi6y

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-daily-sum-series-adjacent-row-changes-6588c857 -d '<json body>'
```

Example prompt: I have competitor pricing records with dates, company groups, list prices, and package quantities — can you run a daily sum series and adjacent row changes report on the list_price field for these rows: [{"row_id":"r1","company_group":"brand-a","date":"2026-10-01","list_price":10,"package_quantity":1},{"row_id":"r2","company_group":"brand-b","date":"2026-10-02","list_price":20,"package_quantity":2}]?

## When to prefer this

Use this endpoint when you have up to 200 rows of competitor pricing data already on hand and need two standard analytical reports — a daily sum series and adjacent row changes — computed locally without any live data lookup, prediction, or external API calls. It is ideal for lightweight competitive pricing analysis pipelines where you supply the data and need structured time series aggregations and sequential difference calculations in one low-cost call.

## Known failure modes

- Missing required fields (row_id, company_group, date, list_price, or package_quantity) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit and returns an error
- Invalid field enum value (not list_price or package_quantity) causes a schema error
- Empty rows array (minItems:1 violated) returns an error
- Payment not included or insufficient USDC causes a 402 response

## How this service works

Competitor supplied prices — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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

Two analytical reports: (1) a daily sum series aggregating the selected field (list_price or package_quantity) by date, and (2) adjacent row changes showing the difference between consecutive records — both computed locally on the supplied data, up to 200 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-daily-sum-series-adjacent-row-changes-6588c857/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)