# Procurement Research: Trailing Mean Series + Keyed Dataset Comparison

> Procurement Research: Trailing Mean Series + Keyed Dataset Comparison 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 trailing mean time series and keyed dataset comparison reports for procurement records containing quoted amounts and units, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-11-153?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/procurement-research-trailing-mean-series-keyed-dataset-comparison-56f3dcb6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CVeLf6mmiGD2SzFyJWclF

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 procurement-research-trailing-mean-series-keyed-dataset-comparison-56f3dcb6 -d '<json body>'
```

Example prompt: I have two sets of procurement quote records — a main dataset and a comparison dataset, each with up to 200 rows containing row IDs, dates, company groups, quoted amounts, and quoted units — can you run a trailing mean series and a keyed dataset comparison on the quoted_amount field and give me both reports?

## When to prefer this

Choose this endpoint when you have structured procurement records with quoted amounts or units and need both a rolling/trailing mean time series and a keyed dataset-to-dataset comparison in a single call. It is purpose-built for procurement analytics on supplier quote data and is ideal when you have two datasets to benchmark against each other and want both reports for a flat $0.01 fee. Prefer this over generic statistics APIs when your data has the specific procurement schema (quoted_amount, quoted_units, company_group) and you need both report types together without any external data enrichment or prediction.

## Known failure modes

- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'quoted_amount' or 'quoted_units' — enum validation error
- Empty rows array — minItems constraint violation
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection

## How this service works

Procurement research — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison for supplied procurement research records (quoted_amount, quoted_units). 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 trailing mean time series showing rolling average values of the selected field (quoted_amount or quoted_units) grouped by date and company group, and (2) a keyed dataset comparison report highlighting differences between the primary and reference datasets by row key. No external lookups or predictions are included — all computation is performed locally on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/procurement-research-trailing-mean-series-keyed-dataset-comparison-56f3dcb6/health.json
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