# Transaction Fee Observations — Trailing Mean Series + Base-100 Series

> Transaction Fee Observations — Trailing Mean Series + 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).

Computes a trailing mean time series and a Base-100 indexed series for supplied transaction fee or transaction count observations, returning two analytical reports from local engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-147?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-trailing-mean-series-base-100-series-16cf8912
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kFP9ioWAMFJyOZGtVF0nU

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-trailing-mean-series-base-100-series-16cf8912 -d '<json body>'
```

Example prompt: Take my daily transaction fee records — I have 4 rows for group-a and group-b from Oct 1–4, 2026 with fee_units values of 10, 20, 15, 30 — and give me both a trailing mean series with a window of 2 and a Base-100 series anchored to the first row, calculated on fee_units.

## When to prefer this

Choose this endpoint when you have already collected transaction fee or transaction count observations and need to produce two complementary analytical outputs — a smoothed trailing mean and a Base-100 growth index — from that supplied data without any external data lookup or live market data. It is ideal for offline or agent-side analysis pipelines where the raw fee records are already in hand and you want both a trend-smoothing view and a normalized growth view in a single $0.01 call covering up to 200 rows.

## Known failure modes

- Fewer than 2 rows supplied (minItems:1 but trailing mean requires at least window-size rows to produce meaningful results)
- window parameter exceeds number of supplied rows, yielding sparse or empty mean series
- base_index out of range for number of supplied rows
- Invalid date format (must match YYYY-MM-DD pattern)
- fee_units or transaction_count contains null values that disrupt series calculation
- More than 200 rows submitted, exceeding maxItems limit
- Missing required fields row_id, instrument_group, date, fee_units, or transaction_count on any row

## How this service works

Transaction fee observations — Trailing mean series + Base-100 series: Trailing mean series + 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

Two independent analytical reports: (1) a trailing mean series showing smoothed values of the selected field (fee_units or transaction_count) over the specified rolling window, and (2) a Base-100 indexed series anchored at the specified base row, expressing all subsequent values as an index relative to that baseline. Both reports are computed locally from the supplied data 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  },
  "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-trailing-mean-series-base-100-series-16cf8912/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)