# Inventory Administration — Numeric Interval Filter + Base-100 Series

> Inventory Administration — Numeric Interval Filter + 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 2026-10-30).

Filters inventory administration rows by a numeric interval and computes a Base-100 index series for either count_sessions or discrepancy_count fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-21-128?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/inventory-administration-numeric-interval-filter-base-100-series-a7da75d4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EIWqBRGCX3w0mhvhRIcfw

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 inventory-administration-numeric-interval-filter-base-100-series-a7da75d4 -d '<json body>'
```

Example prompt: I have inventory admin records for two teams across October 2026 — can you filter rows where count_sessions is between 10 and 25, and also compute a Base-100 index series for count_sessions starting from row index 0? I'll supply up to 4 rows with row_id, team_group, date, count_sessions, and discrepancy_count.

## When to prefer this

Choose this endpoint when you have pre-collected inventory administration records (up to 200 rows) and need both a numeric range filter and a Base-100 normalization index in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external integration is needed — just local computation on supplied data. At $0.01 USDC for two reports, it is cost-effective for routine inventory audits, team performance benchmarking, and trend normalization tasks.

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows in the array exceeds the maximum and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index value exceeding the number of supplied rows causes an indexing error
- Null values in the selected field may be excluded or cause incomplete series output
- minimum greater than maximum may return an empty filtered set or error

## How this service works

Inventory administration — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series for supplied inventory administration records (count_sessions, discrepancy_count). 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 filtered subset of the supplied inventory rows where the selected field (count_sessions or discrepancy_count) falls within the specified [minimum, maximum] interval; and (2) a Base-100 index series for the selected field anchored to the specified base_index row, expressing each row's value as a percentage relative to that baseline. Up to 200 rows processed per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "count_sessions",
     "discrepancy_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "count_sessions": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "discrepancy_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "count_sessions": 10,
     "discrepancy_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "count_sessions": 20,
     "discrepancy_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "count_sessions": 15,
     "discrepancy_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "count_sessions": 30,
     "discrepancy_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "count_sessions",
    "discrepancy_count"
   ],
   "type": "string",
   "default": "count_sessions"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-administration-numeric-interval-filter-base-100-series-a7da75d4/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)