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

> Commercial Proposal Comparisons — Record Quality Audit + 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 two local analytical reports on commercial proposal data (quoted_amount or delivery_days): a record quality audit and a base-100 index series, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-012?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-base-100-series-43b576c6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lTyfnsSpolta-L-0abAvq

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-base-100-series-43b576c6 -d '<json body>'
```

Example prompt: Can you run a record quality audit and base-100 index series on my commercial proposal data? I have rows for two supplier groups — group-a and group-b — with dates, quoted amounts, and delivery days. Use quoted_amount as the field, set the base index to row 0, and include all 4 rows.

## When to prefer this

Choose this endpoint when you have tabular commercial proposal data (quoted amounts and delivery days by vendor/group) and need both a data quality check and a normalized index series in a single $0.01 call. Prefer it over general-purpose analytics when your dataset fits within 200 rows and you want reproducible, locally-computed audits without external API dependencies or live lookups.

## Known failure modes

- Empty or missing rows array returns a validation error
- More than 200 rows triggers a maxItems constraint error
- base_index value referencing a non-existent row index causes an out-of-bounds error
- Null values in the selected field may affect index calculations and trigger quality flags
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Missing required fields (row_id, company_group, date) per row cause rejection

## How this service works

Commercial proposal comparisons — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied commercial proposal comparisons records (quoted_amount, delivery_days). 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 analytical reports: (1) a record quality audit flagging data completeness, validity, and consistency issues across the supplied rows, and (2) a base-100 index series for the selected field (quoted_amount or delivery_days), showing each row's value normalized relative to the chosen base row. No external lookups or predictions are made — all analysis uses local engines on the supplied data.

## 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-base-100-series-43b576c6/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)