# Burned Token Fraction — One-Input Sensitivity Table

> Burned Token Fraction — One-Input Sensitivity Table is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes a one-input sensitivity table showing how the reported burned token fraction changes across a range of values for either burned_tokens or issued_tokens, given a baseline token supply snapshot.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-token-burned-supply-sensitivity?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/burned-token-fraction-one-input-sensitivity-table-de67d047
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Z-NwrV6Sb_ReNdEDDaBP3

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 burned-token-fraction-one-input-sensitivity-table-de67d047 -d '<json body>'
```

Example prompt: Show me a sensitivity table for the burned token fraction, sweeping burned_tokens through [80000, 90000, 100000, 110000, 120000] against a baseline of 100000 burned tokens and 2000000 issued tokens.

## When to prefer this

Choose this endpoint when you need to understand how the burned token fraction metric responds to incremental changes in a single supply variable — either burned count or total issued count — across a predefined range, without needing live blockchain data. It is ideal for pre-report scenario modeling, token economic design review, or sensitivity testing where the inputs are already known and the output is a deterministic fraction table.

## Known failure modes

- issued_tokens set to 0 causes division-by-zero or validation rejection
- values array exceeds 50 items returns an error
- burned_tokens or issued_tokens exceeds allowed maximum (1e16) triggers schema validation failure
- invalid field enum value (anything other than burned_tokens or issued_tokens) causes rejection
- empty values array (minItems violation) returns an error

## How this service works

Reported burned token fraction — One-input sensitivity table: One-input sensitivity table for Reported burned token fraction. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded one-input sensitivity table report.

## Output

A table of rows, each pairing one input value from the supplied sweep array with the resulting computed burned token fraction (burned_tokens / issued_tokens), evaluated deterministically against the supplied baseline. No live chain data or trade signals are included.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "field": {
   "enum": [
    "burned_tokens",
    "issued_tokens"
   ],
   "type": "string",
   "default": "burned_tokens"
  },
  "values": {
   "type": "array",
   "items": {
    "type": "number",
    "default": 1,
    "maximum": 10000000000000000,
    "minimum": -10000000000000000
   },
   "default": [
    90000,
    100000,
    110000.00000000001
   ],
   "maxItems": 50,
   "minItems": 1
  },
  "baseline": {
   "type": "object",
   "default": {
    "burned_tokens": 100000,
    "issued_tokens": 2000000
   },
   "required": [
    "burned_tokens",
    "issued_tokens"
   ],
   "properties": {
    "burned_tokens": {
     "type": "number",
     "default": 100000,
     "maximum": 10000000000000000,
     "minimum": 0
    },
    "issued_tokens": {
     "type": "number",
     "default": 2000000,
     "maximum": 10000000000000000,
     "minimum": 0,
     "exclusiveMinimum": 0
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/burned-token-fraction-one-input-sensitivity-table-de67d047/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)