# Competitor Supplied Prices — Adjacent Row Changes + Base-100 Series

> Competitor Supplied Prices — Adjacent Row Changes + 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).

Computes adjacent row changes and base-100 index series for up to 200 rows of competitor price and package quantity data, returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-155?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-adjacent-row-changes-base-100-series-e75eb902
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QZEC5iNVnLe8eTQslKKjK

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-adjacent-row-changes-base-100-series-e75eb902 -d '<json body>'
```

Example prompt: Can you run adjacent row change and base-100 index analysis on this list of competitor prices — I have 4 rows with dates from 2026-10-01 to 2026-10-04, list prices 10, 20, 15, 30 for groups group-a and group-b, and I want the base-100 series anchored to row index 0 on list_price?

## When to prefer this

Choose this endpoint when you have already collected competitor pricing data and need fast, local analytical computation — specifically adjacent row-to-row change detection and base-100 index normalization — without needing live data lookup, external enrichment, or predictions. Ideal for price trend benchmarking and relative movement analysis on batches of up to 200 rows at very low cost.

## Known failure modes

- Row count exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) or beyond actual row count — error or unexpected behavior
- Null values in the selected numeric field may produce null or skipped change entries
- Payment of 0.01 USDC not completed — request not processed

## How this service works

Competitor supplied prices — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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) adjacent row changes showing the difference in the selected field (list_price or package_quantity) between each consecutive row, and (2) a base-100 index series normalizing values relative to the specified base row, both computed locally on the supplied data.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-adjacent-row-changes-base-100-series-e75eb902/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)