# Transaction Fee Observations — Numeric Distribution + Numeric Interval Filter

> Transaction Fee Observations — Numeric Distribution + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Computes a numeric distribution and an interval-filtered subset analysis on user-supplied transaction fee observation records (fee_units and transaction_count fields), returning up to 2 local analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-074?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transaction-fee-observations-numeric-distribution-numeric-interval-e5999d32
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vnNeMcUiLDYkXYbxznzbv

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-numeric-distribution-numeric-interval-e5999d32 -d '<json body>'
```

Example prompt: I have a list of up to 200 transaction fee observations with fee_units and transaction_count per instrument group and date — can you run a numeric distribution report plus filter to only rows where fee_units falls between 5 and 50, analyzing the fee_units field?

## When to prefer this

Choose this endpoint when you have a batch of up to 200 transaction fee observation records and need both a distributional breakdown and an interval-filtered view of either fee_units or transaction_count, without requiring any live data lookup or external enrichment. It is ideal for self-contained offline analytical passes on structured fee data where two report types are needed in a single call at minimal cost.

## Known failure modes

- Rows array empty or missing — requires at least 1 row
- More than 200 rows submitted — exceeds maximum item limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- fee_units or transaction_count values outside ±1,000,000,000,000 — rejected by schema
- Missing required row fields (row_id, instrument_group, date, fee_units, transaction_count) — validation error
- minimum greater than maximum — may produce empty interval filter result
- Payment of 0.01 USDC not completed — request blocked by x402 paywall

## How this service works

Transaction fee observations — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter 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) a numeric distribution (histogram/frequency breakdown) of the chosen field (fee_units or transaction_count) across the supplied rows, and (2) a filtered subset of rows where the chosen field falls within the specified minimum–maximum interval. Up to 200 input rows are supported, all computed locally without external data access.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transaction-fee-observations-numeric-distribution-numeric-interval-e5999d32/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)