# Contract Renewal Inventories — Category Frequencies + Daily Sum Series

> Contract Renewal Inventories — Category Frequencies + 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 2026-10-20).

Analyzes up to 200 contract renewal inventory rows to produce two local analytical reports: category frequency distributions and daily sum time series for expiring or renewed contracts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-20-102?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/contract-renewal-inventories-category-frequencies-daily-sum-series-e45e553f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ON_cNA2EYYlsEQaU3ZnDp

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-category-frequencies-daily-sum-series-e45e553f -d '<json body>'
```

Example prompt: I have a dataset of contract renewal records with company groups and dates — can you run two local reports on it: a category frequency breakdown and a daily sum series for expiring_contracts? Here are the rows: [{"row_id":"r1","company_group":"alpha","date":"2026-10-01","expiring_contracts":10,"renewed_contracts":3},{"row_id":"r2","company_group":"beta","date":"2026-10-02","expiring_contracts":20,"renewed_contracts":5}].

## When to prefer this

Choose this endpoint when you have a batch of contract renewal records (up to 200 rows) and need both a category frequency distribution and a daily sum time series in a single API call at low cost ($0.01 USDC). It is ideal for offline or supply-your-own-data analysis where no live data lookup or external database access is needed. Prefer it over general analytics tools when you want fast, deterministic local computation on structured contract inventory data.

## Known failure modes

- Input array is empty or missing — returns validation error
- More than 200 rows supplied — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown field value outside enum (expiring_contracts, renewed_contracts) — rejected
- Null or out-of-range numeric values for contract fields — may cause computation errors
- Missing required fields (row_id, company_group, date) — schema validation failure

## How this service works

Contract renewal inventories — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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

Returns two analytical reports computed locally on the supplied data: (1) category frequency counts showing how often each company_group appears across the dataset, and (2) a daily sum time series aggregating the selected field (expiring_contracts or renewed_contracts) by date. Up to 200 input rows are supported.

## 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
  },
  "field": {
   "enum": [
    "expiring_contracts",
    "renewed_contracts"
   ],
   "type": "string",
   "default": "expiring_contracts"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/contract-renewal-inventories-category-frequencies-daily-sum-series-e45e553f/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)