# Proposal Preparation — Numeric Interval Filter + Secondary-Measure Weighted Mean

> Proposal Preparation — Numeric Interval Filter + Secondary-Measure Weighted Mean 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).

Filters proposal preparation records by a numeric interval on a chosen field, then computes a secondary-measure weighted mean; returns two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-132?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-interval-filter-secondary-measure-c95e3c7b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MwvscVN_Ct7cIyJ-pb4rX

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-interval-filter-secondary-measure-c95e3c7b -d '<json body>'
```

Example prompt: I have 4 proposal records with completed_sections and planned_sections values — can you filter them to only rows where completed_sections is between 0 and 100, then compute the weighted mean of planned_sections? Here are the rows: row-1 group-a 2026-10-01 completed=10 planned=1, row-2 group-b 2026-10-02 completed=20 planned=2, row-3 group-a 2026-10-03 completed=15 planned=3, row-4 group-b 2026-10-04 completed=30 planned=4.

## When to prefer this

Choose this endpoint when you need a two-step analytical pipeline on proposal preparation data: first narrowing records to a numeric range on a specific field, then computing a weighted mean on the secondary measure. Ideal for lightweight, local batch analytics on up to 200 rows without needing external data lookups, predictions, or live integrations. Cost-effective at $0.01 USDC for two reports.

## Known failure modes

- Empty rows array or missing required fields (row_id, date, completed_sections, planned_sections) returns validation error
- More than 200 rows submitted exceeds maxItems limit
- minimum greater than maximum produces empty filtered result set
- All rows filtered out by interval results in undefined or null weighted mean
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- field enum value not one of completed_sections or planned_sections is rejected

## How this service works

Proposal preparation — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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

Two analytical reports derived from the supplied proposal preparation rows: (1) the subset of rows whose chosen field (completed_sections or planned_sections) falls within the specified numeric interval [minimum, maximum], and (2) the secondary-measure weighted mean computed over those filtered records. Results are generated locally 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proposal-preparation-numeric-interval-filter-secondary-measure-c95e3c7b/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)