# Transaction Fee Observations — Exact Row Deduplication + Trailing Mean Series

> Transaction Fee Observations — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Deduplicates transaction fee observation rows and computes a trailing mean series for fee_units or transaction_count fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-045?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transaction-fee-observations-exact-row-deduplication-trailing-mean-6897adcc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DjToXAtoapz_CsP2FEECV

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-trailing-mean-6897adcc -d '<json body>'
```

Example prompt: Deduplicate these transaction fee records and compute a trailing mean series over fee_units with a window of 3 — I have 4 rows for group-a and group-b dated 2026-10-01 through 2026-10-04 with fee values 10, 20, 15, and 30.

## When to prefer this

Choose this endpoint when you need both exact duplicate removal and a trailing mean time series computed together on transaction fee data in a single low-cost call (0.01 USDC for two reports). It is ideal for pre-processing raw fee exports of up to 200 rows before downstream analysis, with no external data access or prediction — purely local analytical computation.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) in any row
- Missing required fields (row_id, instrument_group, date, fee_units, transaction_count)
- Window size less than 2 or greater than 200
- Field value outside allowed numeric range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment failure or insufficient USDC balance

## How this service works

Transaction fee observations — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean 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

Two analytical reports for the supplied rows: (1) an exact row-deduplicated dataset identifying and removing duplicate records, and (2) a trailing mean series computed over the specified field (fee_units or transaction_count) using the given window size — both generated locally without external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transaction-fee-observations-exact-row-deduplication-trailing-mean-6897adcc/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)