# Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Base-100 Series

> Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + 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 2026-10-17).

Runs three local analytical reports on commercial proposal data (quoted_amount or delivery_days): record quality audit, string normalisation, and base-100 indexed series — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-201?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-95bda901
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MfbmKXUFMo6vPe5N3sZg3

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-95bda901 -d '<json body>'
```

Example prompt: Can you run the record quality audit, string normalisation, and base-100 series reports on my commercial proposal data — I have 4 rows with company groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, quoted amounts of 10, 20, 15, and 30, delivery days of 1–4, and I want the analysis on the quoted_amount field indexed from row 0?

## When to prefer this

Choose this endpoint when you need three simultaneous analytical passes — quality audit, string normalisation, and base-100 indexing — on commercial proposal or vendor bid data in a single $0.01 call. It is ideal for procurement workflows where you want to validate data integrity, standardise string fields, and create a rebased numeric comparison series before further analysis. Prefer it over general-purpose analytics when your data maps cleanly to the quoted_amount/delivery_days schema and you need all three report types without external lookups or predictions.

## Known failure modes

- rows array empty or missing — API returns validation error
- more than 200 rows submitted — rejected with maxItems error
- base_index out of range for submitted row count — validation error
- date strings not matching YYYY-MM-DD pattern — schema rejection
- quoted_amount or delivery_days outside ±1,000,000,000,000 bounds — validation error
- field enum value not 'quoted_amount' or 'delivery_days' — schema rejection
- row_id missing or empty string — required field validation error

## How this service works

Commercial proposal comparisons — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 analytical reports computed locally on the supplied rows: (1) a record quality audit flagging missing, null, or malformed values in the specified field; (2) a string normalisation report cleaning and standardising company_group and other string fields; (3) a base-100 index series rebasing the chosen numeric field (quoted_amount or delivery_days) relative to the specified base row. No external data is fetched or returned.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/commercial-proposal-comparisons-record-quality-audit-string-95bda901/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)