# Payment Reconciliation Trailing Mean Series & Adjacent Row Changes

> Payment Reconciliation Trailing Mean Series & Adjacent Row Changes 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).

Computes trailing moving-average series and adjacent-row delta changes for up to 200 payment reconciliation records, returning two local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-08-146?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/payment-reconciliation-trailing-mean-series-adjacent-row-changes-787c0569
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_u6fmF1ilM-BoWONJ9WHAD

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 payment-reconciliation-trailing-mean-series-adjacent-row-changes-787c0569 -d '<json body>'
```

Example prompt: Run a trailing mean series and adjacent row changes analysis on my payment reconciliation data — I have 4 rows for group-a and group-b from 2026-10-01 to 2026-10-04 with expected and received amounts, use a window of 2 and analyze the expected_amount field.

## When to prefer this

Choose this endpoint when you need lightweight, server-side statistical summaries (trailing mean and row-to-row deltas) on payment reconciliation data without involving any external data sources or live lookups. It is ideal for batch post-processing of reconciliation exports when you want two complementary analytical views (trend smoothing via trailing mean + volatility via adjacent changes) in a single low-cost call. Prefer alternatives if you need real-time enrichment, ML-based anomaly detection, groupby aggregations, or more than 200 rows.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — validation error
- Window size larger than the number of supplied rows — computation may produce sparse or no results
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in expected_amount or received_amount — may affect mean/delta calculations
- Missing required fields (row_id, instrument_group, date) — request rejected
- Payment failure or insufficient USDC balance — 402 response, no analysis returned

## How this service works

Payment reconciliation — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes for supplied payment reconciliation records (expected_amount, received_amount). 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

Two analytical reports computed locally: (1) a trailing mean series showing the rolling average of the selected field (expected_amount or received_amount) across the supplied rows using the specified window size, and (2) adjacent row changes showing the delta between consecutive rows for the selected field — all derived from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/payment-reconciliation-trailing-mean-series-adjacent-row-changes-787c0569/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)