# Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Grouped Numeric Summary

> Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Runs three analytical reports on commercial proposal data: a record quality audit, string normalisation, and grouped numeric summary for quoted_amount or delivery_days fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-194?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/commercial-proposal-comparisons-record-quality-audit-string-f045431a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PlGRJDduVMJyqjRMFGsE4

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 commercial-proposal-comparisons-record-quality-audit-string-f045431a -d '<json body>'
```

Example prompt: Can you audit the quality of these proposal comparison records, normalise the company group strings, and give me a grouped numeric summary of the quoted_amount field? I have 8 rows: row-1 through row-8, spanning 2026-10-01 to 2026-10-08, with company groups 'Acme Corp', 'acme corp', 'Beta Ltd', and 'BETA LTD', and quoted amounts ranging from 1500 to 8400.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — quality auditing, string normalisation, and grouped numeric summarisation — on commercial proposal or bid comparison data (quoted_amount, delivery_days) in a single low-cost call. It is ideal for pre-review data cleaning pipelines where you want to catch dirty records, standardise vendor names, and produce group-level stats without any external data lookups or predictions. Prefer it over general-purpose analytics tools when your data fits the commercial proposals schema and you want all three reports for $0.01 in one round-trip.

## Known failure modes

- More than 200 rows submitted — endpoint rejects with a validation error
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range cause schema rejection
- Invalid field selector (not 'quoted_amount' or 'delivery_days') causes enum validation error
- Empty rows array (minItems: 1 not met) returns validation error

## How this service works

Commercial proposal comparisons — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied commercial proposal comparisons records (quoted_amount, delivery_days). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across the submitted rows; (2) a string normalisation report cleaning and standardising the company_group field; and (3) a grouped numeric summary (e.g. count, sum, mean, min, max) of either quoted_amount or delivery_days, aggregated by company_group — all computed locally with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/commercial-proposal-comparisons-record-quality-audit-string-f045431a/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)