# Supplier Qualification Analytics — Numeric Distribution + Trailing Mean Series

> Supplier Qualification Analytics — Numeric Distribution + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes a numeric distribution report and a trailing mean series report for supplier qualification data (checked_criteria, met_criteria) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-076?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-analytics-numeric-distribution-trailing-mean-a99fd7de
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_v53bPLl3bLJnXghhp0CUo

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 supplier-qualification-analytics-numeric-distribution-trailing-mean-a99fd7de -d '<json body>'
```

Example prompt: Run a numeric distribution and trailing mean series analysis on my supplier qualification records — I have 4 rows with checked_criteria values, I want to analyze the checked_criteria field with a window size of 2.

## When to prefer this

Choose this endpoint when you need both a numeric distribution and a trailing mean time series computed together from supplier qualification records in a single low-cost call. It is ideal for procurement analysts who want quick statistical summaries of checked vs. met criteria without requiring external data lookups, live integrations, or professional assessments. Best suited for batch sizes up to 200 rows where offline, local computation is acceptable.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Window size outside range 2–200 — validation error
- Null values in numeric fields may affect distribution/mean calculations
- Payment not received or insufficient — x402 payment required error

## How this service works

Supplier qualification — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied supplier qualification records (checked_criteria, met_criteria). 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 independent analytical reports: (1) a numeric distribution summary of the selected field (checked_criteria or met_criteria) across the supplied rows, and (2) a trailing mean series computed over the specified window size — both derived from the supplied data using local analytical engines, with no external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-analytics-numeric-distribution-trailing-mean-a99fd7de/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)