# Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Daily Sum Series

> Commercial Proposal Comparisons — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of commercial proposal comparison data containing quoted amounts and delivery days.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-198?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/commercial-proposal-comparisons-record-quality-audit-string-7f3c33f7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oUizmHAjgD20RS-UJBo-O

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-7f3c33f7 -d '<json body>'
```

Example prompt: Can you audit, normalise, and compute daily sums for my commercial proposal comparison data? I have 4 rows with company groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, quoted_amount values of 10, 20, 15, and 30, and delivery_days of 1, 2, 3, and 4 — run all three reports on quoted_amount.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and daily aggregation — on commercial proposal or vendor bid data in a single low-cost call. It is ideal for preprocessing procurement datasets before downstream analysis, when all computation should happen locally without any external API calls, predictions, or live data lookups. Not suitable if you need only one of the three reports, need more than 200 rows, or require predictive modelling or external enrichment.

## Known failure modes

- Empty rows array or missing required fields (row_id, date) causes validation failure
- More than 200 rows submitted exceeds the batch limit
- Dates not matching YYYY-MM-DD pattern cause schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Invalid field enum value (not quoted_amount or delivery_days) causes error

## How this service works

Commercial proposal comparisons — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum 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

Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the submitted rows; (2) a string normalisation report cleaning and standardising the company_group field; and (3) a daily sum series aggregating the selected numeric field (quoted_amount or delivery_days) by date. 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-7f3c33f7/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)