# Financial Statement Inputs — Daily Sum Series + Secondary-Measure Weighted Mean

> Financial Statement Inputs — Daily Sum Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes a daily sum time series and a secondary-measure weighted mean for up to 200 rows of financial statement data (revenue_amount, expense_amount).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-22-142?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/financial-statement-inputs-daily-sum-series-secondary-measure-87d6f140
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wt_K1vsshHsxXXeNDb14f

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 financial-statement-inputs-daily-sum-series-secondary-measure-87d6f140 -d '<json body>'
```

Example prompt: Can you compute the daily sum series and secondary-measure weighted mean for my financial statement data? I have 4 rows with revenue_amount as the primary field: row-1 on 2026-10-01 in group-a with revenue 10 and expense 1, row-2 on 2026-10-02 in group-b with revenue 20 and expense 2, row-3 on 2026-10-03 in group-a with revenue 15 and expense 3, and row-4 on 2026-10-04 in group-b with revenue 30 and expense 4.

## When to prefer this

Choose this endpoint when you need both a daily sum time series and a weighted mean computed on up to 200 rows of financial statement data (revenue and expense amounts) in a single call, at minimal cost ($0.01 USDC for both reports). It is ideal for lightweight, local analytical processing of structured financial records without requiring live data feeds, predictions, or external integrations. Prefer alternatives if you need more than 200 rows, real-time market data, forecasting, or professional financial assessment.

## Known failure modes

- Missing required fields (row_id, instrument_group, date, revenue_amount, expense_amount) causes validation error
- Date field not matching YYYY-MM-DD pattern returns schema validation failure
- More than 200 rows submitted exceeds maxItems limit and is rejected
- Numeric values outside the ±1,000,000,000,000 range trigger validation errors
- Empty rows array (minItems:1 not met) returns an error
- Invalid field enum value (not revenue_amount or expense_amount) causes rejection

## How this service works

Financial statement inputs — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean for supplied financial statement inputs records (revenue_amount, expense_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

Returns two analytical reports: (1) a daily sum series aggregating the selected financial measure (revenue_amount or expense_amount) by date, and (2) a secondary-measure weighted mean computed across the supplied rows. All processing is done locally with no external lookups or predictions. Up to 200 rows supported.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/financial-statement-inputs-daily-sum-series-secondary-measure-87d6f140/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)