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Burned Token Fraction Base-100 Rebase Report
x402
Burned Token Fraction Base-100 Rebase Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Calculates a base-100 rebase index of the burned token fraction (burned/issued ratio) across a series of token supply observations
Price / call$0.01
Success—
StatusUnknown
How this service works
Reported burned token fraction — Base-100 rebase report: Base-100 rebase report 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 base-100 rebase report report.
Output
A base-100 rebase report showing the burned token fraction (burned_tokens / issued_tokens) for each supplied observation, normalized so that the chosen base_index observation equals 100. The result is a deterministic computed index series reflecting relative changes in the burn rate across the input rows — not a live market scan, safety assessment, or trade recommendation.
Example use cases
Track token burn deflation over time
“I have a series of snapshots of our token's burned and issued supply — burned values are 50000, 75000, 120000, 200000 and issued are 1000000, 1000000, 1000000, 1000000. Can you rebase the burned fraction to 100 starting from the first observation so I can see how deflation has progressed?”
Compare burn rate change from mid-series baseline
“Run a base-100 rebase report on these four token supply observations: burned tokens are 80000, 90000, 100000, 130000 with issued tokens of 1500000, 1500000, 1500000, 1500000 each — but set observation index 2 as my base period instead of the first one.”
Validate token burn fraction trends before reporting
“Before I publish our quarterly token report, can you compute a base-100 rebase index for our burn fraction across these six checkpoints — burned: 200000, 210000, 250000, 300000, 320000, 400000 and issued: 5000000, 5000000, 5100000, 5100000, 5200000, 5200000 — using the first checkpoint as the baseline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-burned-supply-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, normalized base-100 index of token burn fraction across a series of supply snapshots — particularly useful for tokenomics reporting, comparing burn rate trends relative to a specific baseline period, or preparing structured rebase data for dashboards or quarterly reports. Prefer it over raw ratio calculations when you need index-relative framing rather than raw percentages, and when working with up to 200 discrete supply observations.
Side effects
- issued_tokens of 0 rejected due to exclusiveMinimum constraint (division by zero)
- rows array with fewer than 2 items rejected
- rows array exceeding 200 items rejected
- base_index out of range (0–199) or exceeding number of rows rejected
- burned_tokens or issued_tokens exceeding 10^16 rejected
- Malformed or missing required fields returns validation error
- Payment failure or insufficient USDC balance blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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