{"uid":"cap_Z-NwrV6Sb_ReNdEDDaBP3","slug":"burned-token-fraction-one-input-sensitivity-table-de67d047","name":"Burned Token Fraction — One-Input Sensitivity Table","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-bx-token-burned-supply-sensitivity?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"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}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Z5VbVr_F_HCvugnwWA4Yi","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"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.","exampleUseCases":[{"title":"Token burn ratio range analysis","prompt":"I have a token with 2 million issued and 100k burned. Can you run a sensitivity table for me showing the burned fraction as burned tokens vary from 50000 to 150000 in steps of 10000?"},{"title":"Issuance impact on burn percentage","prompt":"How does the burned token fraction change if issued tokens range from 1000000 to 4000000, keeping burned tokens fixed at 100000? Give me the full table."},{"title":"Pre-report scenario modeling","prompt":"Before I publish our quarterly token report, can you show me what the reported burn fraction looks like across these five burned token scenarios: 90000, 95000, 100000, 105000, 110000, with 2000000 issued tokens as the baseline?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:28.661Z","isFirstParty":false,"canonicalSlug":"burned-token-fraction-one-input-sensitivity-table-de67d047"}