# Staking Supplied Rewards — String Normalisation + Date by Category Pivot

> Staking Supplied Rewards — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Performs string normalisation and date-by-category pivot analysis on up to 200 staking rewards records (reward_units, staked_units), returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-15-035?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/staking-supplied-rewards-string-normalisation-date-by-category-pivot-8d75848f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3caHxprk0iM9HCSGcw2Ve

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-string-normalisation-date-by-category-pivot-8d75848f -d '<json body>'
```

Example prompt: I have staking rewards records with reward_units and staked_units across several instrument groups and dates — can you run string normalisation and a date-by-category pivot on this data, using reward_units as the focus field? Here are my rows: [{row_id: 'row-1', date: '2026-10-01', instrument_group: 'eth-staking', reward_units: 10, staked_units: 100}, {row_id: 'row-2', date: '2026-10-02', instrument_group: 'sol-staking', reward_units: 20, staked_units: 200}].

## When to prefer this

Choose this endpoint when you have up to 200 staking rewards records and need both string normalisation of instrument group labels and a date-by-category pivot of numeric staking metrics (reward_units or staked_units) in a single low-cost call. It is ideal for pre-processing staking data before reporting or visualisation, and when no live data lookup, prediction, or external action is needed — just local analytical computation on supplied data.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, instrument_group, date, reward_units, staked_units) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems: 1 not met) causes error
- Invalid field enum value (not 'reward_units' or 'staked_units') causes rejection

## How this service works

Staking supplied rewards — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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 reports: (1) a string normalisation report cleaning instrument_group values across all input rows, and (2) a date-by-category pivot table showing the selected field (reward_units or staked_units) broken down by date and instrument_group. Covers up to 200 input rows with no external data lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/staking-supplied-rewards-string-normalisation-date-by-category-pivot-8d75848f/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)