# Brand Mention Inventories — Base-100 Series + Two-Measure Correlation

> Brand Mention Inventories — Base-100 Series + 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 2026-10-16).

Computes a Base-100 indexed time series and two-measure correlation report for supplied brand mention inventory data (mention_count and source_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-165?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/brand-mention-inventories-base-100-series-two-measure-correlation-78e9bddb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kiJW3K3St2Oy5mBFTA1kB

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 brand-mention-inventories-base-100-series-two-measure-correlation-78e9bddb -d '<json body>'
```

Example prompt: Take my brand mention data for group-a and group-b from October 2026 — up to 4 rows with mention_count and source_count — and give me a base-100 series indexed from row 0 for mention_count, plus a correlation report between the two measures.

## When to prefer this

Choose this endpoint when you have pre-collected brand mention inventory data (mention_count and source_count) and need both a normalized base-100 trend series and a correlation analysis delivered together in a single API call at very low cost ($0.01 USDC). It is ideal for offline or batch analytical workflows where data is already gathered and no live fetching, prediction, or external enrichment is required.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group, mention_count, source_count) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema error
- base_index out of range (0–199) causes computation error
- Null values in both measure columns may degrade correlation quality

## How this service works

Brand mention inventories — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation for supplied brand mention inventories records (mention_count, source_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 derived from the supplied brand mention inventory rows: (1) a Base-100 indexed time series normalizing the chosen field (mention_count or source_count) relative to the specified base row, and (2) a two-measure correlation report between mention_count and source_count — all computed locally without live data lookup or external calls.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brand-mention-inventories-base-100-series-two-measure-correlation-78e9bddb/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)