# Data Reconciliation: Daily Sum Series + Adjacent Row Changes

> Data Reconciliation: Daily Sum 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 2026-10-19).

Analyzes supplied data reconciliation records to produce two local reports: a daily sum series and adjacent row change analysis, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-137?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-reconciliation-daily-sum-series-adjacent-row-changes-789f0ae2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jCVdUTuCLDP32JNzlxLtt

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 data-reconciliation-daily-sum-series-adjacent-row-changes-789f0ae2 -d '<json body>'
```

Example prompt: I have 4 rows of reconciliation data — group-a on 2026-10-01 with source 10 and target 1, group-b on 2026-10-02 with source 20 and target 2, group-a on 2026-10-03 with source 15 and target 3, group-b on 2026-10-04 with source 30 and target 4 — can you run the daily sum series and adjacent row changes reports on the source_total field?

## When to prefer this

Choose this endpoint when you need two simultaneous analytical views — daily aggregation and row-to-row delta — on reconciliation data you already have locally, without needing external data lookups, predictions, or professional assessments. Ideal for ETL validation, finance reconciliation audits, and data quality checks on datasets up to 200 rows at a very low cost per call.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside ±1,000,000,000,000 range — schema validation error
- Empty rows array — minItems:1 violation

## How this service works

Data reconciliation — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes for supplied data reconciliation records (source_total, target_total). 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 independent analytical reports: (1) a daily sum series aggregating source_total or target_total by date and dataset_group, and (2) an adjacent row changes report showing differences between consecutive rows — both computed locally 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",
     "dataset_group",
     "date",
     "source_total",
     "target_total"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "target_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_total": 10,
     "target_total": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_total": 20,
     "target_total": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_total": 15,
     "target_total": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_total": 30,
     "target_total": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "source_total",
    "target_total"
   ],
   "type": "string",
   "default": "source_total"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-daily-sum-series-adjacent-row-changes-789f0ae2/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)