# Proposal Preparation — Numeric Row Ordering + Base-100 Series

> Proposal Preparation — Numeric Row Ordering + 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 2026-10-26).

Ranks rows by numeric value and generates a base-100 index series for completed_sections or planned_sections fields in proposal preparation records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-117?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proposal-preparation-numeric-row-ordering-base-100-series-038b1fd9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hejo1F9jHS5HyKeNvhGKn

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 proposal-preparation-numeric-row-ordering-base-100-series-038b1fd9 -d '<json body>'
```

Example prompt: I have up to 200 rows of proposal preparation data with completed_sections and planned_sections values — can you rank them numerically and produce a base-100 index series starting from row index 0 for the completed_sections field?

## When to prefer this

Choose this endpoint when you need both a numeric ranking and a base-100 normalized index series for up to 200 proposal preparation records in a single low-cost call. It is ideal for lightweight, offline analytical reporting on proposal section data without requiring external data sources, predictions, or live lookups. Prefer it over general analytics tools when working specifically with completed_sections and planned_sections fields in a proposal or document planning context.

## Known failure modes

- Exceeding 200 rows returns an error or truncated result
- Missing required fields (row_id, date, completed_sections, planned_sections) causes validation failure
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- base_index out of range (0-199) causes an error
- Null values in the selected numeric field may affect ranking or indexing output
- Malformed JSON input schema results in request rejection

## How this service works

Proposal preparation — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied proposal preparation records (completed_sections, planned_sections). 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: (1) a numeric row ordering ranking each row by the selected field (completed_sections or planned_sections), and (2) a base-100 index series normalizing values relative to the specified base index row — both computed locally from the supplied data without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proposal-preparation-numeric-row-ordering-base-100-series-038b1fd9/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)