# Illustration Estimates – Numeric Row Ordering + Adjacent Row Changes

> Illustration Estimates – Numeric Row Ordering + 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 2026-10-30).

Analyzes supplied illustration estimate records (estimated_hours, actual_hours) with two local analytical reports: numeric row ordering and adjacent row changes, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-19-116?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/illustration-estimates-numeric-row-ordering-adjacent-row-changes-b2b56ae6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__wxp2gu5X2oQFune7VTXe

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 illustration-estimates-numeric-row-ordering-adjacent-row-changes-b2b56ae6 -d '<json body>'
```

Example prompt: I have illustration estimate records with estimated_hours and actual_hours for several asset groups — can you run numeric row ordering and adjacent row changes analysis on them, analyzing the estimated_hours field, for these rows: row-1 (group-a, 2026-10-01, est 10, act 1), row-2 (group-b, 2026-10-02, est 20, act 2), row-3 (group-a, 2026-10-03, est 15, act 3)?

## When to prefer this

Choose this endpoint when you have tabular illustration estimate data (with estimated_hours and actual_hours per asset group and date) and need both a ranked ordering of rows and a sequential delta analysis in a single API call for up to 200 rows. Ideal for creative project tracking, sprint retrospectives, or audit workflows where you need quick local computation without external data sources or predictions.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, asset_group, date, estimated_hours, actual_hours) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- field enum value not recognized — must be 'estimated_hours' or 'actual_hours'
- Empty rows array rejected (minItems: 1)
- Numeric values outside allowed range cause validation errors

## How this service works

Illustration estimates — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied illustration estimates records (estimated_hours, actual_hours). 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 returned together: (1) a numeric row ordering report ranking the supplied rows by the chosen field (estimated_hours or actual_hours), and (2) an adjacent row changes report showing the delta between consecutive rows for the chosen field. All computation is performed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/illustration-estimates-numeric-row-ordering-adjacent-row-changes-b2b56ae6/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)