# Reported Burned Token Fraction — Batch Calculation

> Reported Burned Token Fraction — Batch Calculation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Calculates the fraction of burned tokens relative to issued tokens for up to 200 token observations in a single batch request.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-token-burned-supply-batch?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/reported-burned-token-fraction-batch-calculation-bb999623
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MpJcau_MopfIQgcWEYdwj

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 reported-burned-token-fraction-batch-calculation-bb999623 -d '<json body>'
```

Example prompt: Calculate the burned token fraction for these two token observations in one batch: first one has 100,000 burned out of 2,000,000 issued, and the second has 110,000 burned out of 2,200,000 issued.

## When to prefer this

Use this endpoint when you need to compute burned token fractions for multiple token observations efficiently in a single API call rather than making individual requests. It is ideal for portfolio-level burn analytics, periodic reporting, or any workflow where you have a batch of issued/burned token pairs to evaluate simultaneously. Prefer this over single-row endpoints when processing 2–200 observations to minimize cost and latency.

## Known failure modes

- issued_tokens value of 0 will fail validation due to exclusiveMinimum constraint
- burned_tokens exceeding issued_tokens may produce a fraction greater than 1 (logical inconsistency in input)
- Array exceeding 200 items will be rejected by the schema
- Missing required fields burned_tokens or issued_tokens in any row will cause a validation error
- Payment failure or insufficient USDC balance will prevent the request from being processed

## How this service works

Reported burned token fraction — Batch calculation: Batch calculation 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 batch calculation report.

## Output

A batch report containing the calculated burned token fraction (burned_tokens / issued_tokens) for each supplied observation row, returned as a deterministic computation. Up to 200 rows are processed per call. The result is a bounded calculation report, not a live scan or safety/trade recommendation.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "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
   },
   "default": [
    {
     "burned_tokens": 100000,
     "issued_tokens": 2000000
    },
    {
     "burned_tokens": 110000.00000000001,
     "issued_tokens": 2200000
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/reported-burned-token-fraction-batch-calculation-bb999623/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)