# Staking Supplied Rewards — Adjacent Row Changes + Explicit Missing-Value Fill

> Staking Supplied Rewards — Adjacent Row Changes + Explicit Missing-Value Fill 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).

Analyzes staking reward records by computing adjacent row changes and filling missing values (reward_units or staked_units) using zero, mean, or median imputation for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-15-162?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/staking-supplied-rewards-adjacent-row-changes-explicit-missing-value-1e57ee88
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7rT_fXihAUK5iKc0t_v81

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 staking-supplied-rewards-adjacent-row-changes-explicit-missing-value-1e57ee88 -d '<json body>'
```

Example prompt: I have a dataset of staking rewards with some missing reward_units values — can you fill them in using median imputation and also compute adjacent row changes for up to 50 rows grouped by instrument?

## When to prefer this

Choose this endpoint when you need both missing-value imputation and row-to-row delta analysis on staking reward data (reward_units or staked_units) in a single API call. It is purpose-built for staking/finance time series with up to 200 rows, offering zero, mean, or median fill strategies alongside adjacent change detection — ideal for pre-reconciliation data cleaning or trend auditing without needing a general-purpose analytics platform.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, instrument_group, date) causes validation failure
- Field enum value not in ['reward_units','staked_units'] causes error
- Method enum not in ['zero','mean','median'] causes error
- Empty rows array returns error
- Payment failure or insufficient USDC balance blocks request

## How this service works

Staking supplied rewards — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied staking supplied rewards records (reward_units, staked_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) an adjacent row changes report showing the delta between consecutive rows for the chosen field (reward_units or staked_units), and (2) an explicit missing-value fill report showing replaced null values using the selected method (zero, mean, or median), for all submitted rows up to 200.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/staking-supplied-rewards-adjacent-row-changes-explicit-missing-value-1e57ee88/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)