# Transaction Fee Observations — Exact Row Deduplication + Base-100 Series

> Transaction Fee Observations — Exact Row Deduplication + Base-100 Series 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).

Deduplicates transaction fee observation rows and computes a Base-100 index series for fee_units or transaction_count fields across up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-047?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/transaction-fee-observations-exact-row-deduplication-base-100-series-987c3e6b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_s3OVNjKcjY4fRI_JffkzK

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 transaction-fee-observations-exact-row-deduplication-base-100-series-987c3e6b -d '<json body>'
```

Example prompt: Can you deduplicate my transaction fee observations and generate a Base-100 index series for fee_units starting at row index 0? Here are my rows: row-1 on 2026-10-01 group-a fee_units=10 transaction_count=1, row-2 on 2026-10-02 group-b fee_units=20 transaction_count=2, row-3 on 2026-10-03 group-a fee_units=15 transaction_count=3.

## When to prefer this

Choose this endpoint when you have up to 200 transaction fee observation records and need both exact row deduplication and a Base-100 normalized index series in a single call. It is ideal for financial data cleaning and trend normalization workflows where you supply your own data and want local analytical processing without live market lookups or external data enrichment. Prefer it over generic data tools when working specifically with fee_units and transaction_count fields across instrument groups.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) on any row causes validation failure
- base_index out of range (0–199) or pointing beyond the supplied row count
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- All rows are duplicates — deduplication report returns empty result set
- Numeric values outside ±1,000,000,000,000 range rejected
- Payment failure or insufficient USDC balance blocks execution

## How this service works

Transaction fee observations — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied transaction fee observations records (fee_units, transaction_count). 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 exact row deduplication report identifying and removing duplicate records from the supplied dataset, and (2) a Base-100 index series computed for the selected field (fee_units or transaction_count) relative to the specified base row index, covering up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "fee_units",
     "transaction_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "fee_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transaction_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "fee_units": 10,
     "instrument_group": "group-a",
     "transaction_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "fee_units": 20,
     "instrument_group": "group-b",
     "transaction_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "fee_units": 15,
     "instrument_group": "group-a",
     "transaction_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "fee_units": 30,
     "instrument_group": "group-b",
     "transaction_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "fee_units",
    "transaction_count"
   ],
   "type": "string",
   "default": "fee_units"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transaction-fee-observations-exact-row-deduplication-base-100-series-987c3e6b/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)