# Contract Renewal Inventories — String Normalisation + Two-Measure Correlation

> Contract Renewal Inventories — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Normalises strings and computes two-measure correlation analysis on contract renewal inventory records (expiring_contracts, renewed_contracts) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-20-033?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/contract-renewal-inventories-string-normalisation-two-measure-ce14dd4e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Jfjr7OKIrtTXA5vKQZBxv

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 contract-renewal-inventories-string-normalisation-two-measure-ce14dd4e -d '<json body>'
```

Example prompt: I have contract renewal inventory data for two company groups over the past week — can you normalize the string fields and run a two-measure correlation analysis between expiring_contracts and renewed_contracts for these rows: row-1 group-a 2026-10-01 expiring=10 renewed=1, row-2 group-b 2026-10-02 expiring=20 renewed=2, row-3 group-a 2026-10-03 expiring=15 renewed=3, row-4 group-b 2026-10-04 expiring=30 renewed=4?

## When to prefer this

Choose this endpoint when you have tabular contract renewal inventory data (up to 200 rows) and need both string normalisation and a statistical correlation between two numeric measures (expiring vs renewed contracts) without any live lookup, external data enrichment, or predictive modelling. It is cost-effective at $0.01 for two reports and operates entirely on supplied data using local analytical engines.

## Known failure modes

- Payload exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, date, expiring_contracts, renewed_contracts) cause row-level errors
- Date strings not matching YYYY-MM-DD pattern fail schema validation
- Null numeric values in both measures may reduce correlation reliability
- Payment of 0.01 USDC not completed or declined — endpoint returns 402

## How this service works

Contract renewal inventories — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied contract renewal inventories records (expiring_contracts, renewed_contracts). 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 independent analytical reports: (1) a string normalisation report cleaning and standardising text fields (row_id, company_group, date) across supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between expiring_contracts and renewed_contracts values across up to 200 supplied rows. No external lookups or predictions are included.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "expiring_contracts",
     "renewed_contracts"
    ],
    "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
     },
     "renewed_contracts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "expiring_contracts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "renewed_contracts": 1,
     "expiring_contracts": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "renewed_contracts": 2,
     "expiring_contracts": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "renewed_contracts": 3,
     "expiring_contracts": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "renewed_contracts": 4,
     "expiring_contracts": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/contract-renewal-inventories-string-normalisation-two-measure-ce14dd4e/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)