# Backup Exercises — Adjacent Row Changes + Base-100 Series

> Backup Exercises — 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 2026-10-25).

Computes adjacent row-to-row changes and base-100 indexed series for up to 200 rows of backup exercise data (restore_minutes, restored_gb).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-05-155?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/backup-exercises-adjacent-row-changes-base-100-series-e69801ae
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L_Kh_R4s8SPSfv5cFqLe3

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 backup-exercises-adjacent-row-changes-base-100-series-e69801ae -d '<json body>'
```

Example prompt: Run adjacent row change analysis and a base-100 series on my backup exercise records — I have 4 rows with dates from 2026-10-01 to 2026-10-04, two groups (group-a and group-b), restore_minutes values of 10, 20, 15, and 30, and restored_gb of 1, 2, 3, and 4. Use restore_minutes as the field and start the base index at row 0.

## When to prefer this

Choose this endpoint when you have tabular backup exercise records with restore_minutes or restored_gb metrics and need both a sequential row-change analysis and a base-100 normalized series in a single call. It is ideal for lightweight, local analytical computation on up to 200 rows without requiring an external analytics platform, database, or live data connection. Prefer alternatives if you need predictive modeling, real-time monitoring, or analysis of fields beyond the two supported metrics.

## Known failure modes

- Fewer than 1 row supplied — minItems validation error
- More than 200 rows supplied — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- base_index out of range (>=200 or <0) — validation error
- Field value not in enum [restore_minutes, restored_gb] — validation error
- Null numeric values in key field may affect delta calculations
- Missing required row fields (row_id, control_group, date) — schema validation error

## How this service works

Backup exercises — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series for supplied backup exercises records (restore_minutes, restored_gb). 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 for the supplied backup exercise rows: (1) an adjacent row change report showing the delta in the selected field (restore_minutes or restored_gb) between each consecutive row, and (2) a base-100 indexed series anchoring the selected field's values relative to the specified base_index row. Both reports operate on the supplied data locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "control_group",
     "date",
     "restore_minutes",
     "restored_gb"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "restored_gb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "control_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "restore_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "restored_gb": 1,
     "control_group": "group-a",
     "restore_minutes": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "restored_gb": 2,
     "control_group": "group-b",
     "restore_minutes": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "restored_gb": 3,
     "control_group": "group-a",
     "restore_minutes": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "restored_gb": 4,
     "control_group": "group-b",
     "restore_minutes": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "restore_minutes",
    "restored_gb"
   ],
   "type": "string",
   "default": "restore_minutes"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/backup-exercises-adjacent-row-changes-base-100-series-e69801ae/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)