{"uid":"cap_SfwoiRbInj-dz6UuFWFmp","slug":"reported-burned-token-fraction-benchmark-correlation-f7812c25","name":"Reported Burned Token Fraction — Benchmark Correlation","description":"Reported burned token fraction — Benchmark correlation: Benchmark correlation 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 benchmark correlation report.","url":"https://market.datapackvibe.com/x402/assistant-bx-token-burned-supply-correlation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"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},{"burned_tokens":100000,"issued_tokens":2000000},{"burned_tokens":110000.00000000001,"issued_tokens":2200000}],"maxItems":200,"minItems":2},"benchmarks":{"type":"array","items":{"type":"number","default":1,"maximum":1000000000000000000,"minimum":-1000000000000000000},"default":[10,20,30,40],"maxItems":200,"minItems":2}}},"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_LXUplu3kQoBx7epvnIOvW","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 the correlation between the reported burned token fraction (burned/issued ratio) across a series of observations and a set of benchmark values.","exampleAgentPrompt":"Can you run a benchmark correlation on our token burn fraction? I have 4 observations — burned 100000 out of 2000000 issued, then 110000 out of 2200000, and so on — and I want to correlate that burn fraction against benchmarks of 10, 20, 30, and 40.","exampleUseCases":[{"title":"Token burn consistency audit","prompt":"I have a series of token snapshots: burned 500000 out of 5000000 issued, then 520000 out of 5100000, then 480000 out of 4900000. Can you correlate the burn fraction across those with benchmarks of 5, 10, 15, and 20 to see how consistent our burn rate is?"},{"title":"Deflationary target tracking","prompt":"We're targeting a specific burn-rate trajectory. I have 6 monthly observations of burned and issued tokens — can you compute how well the burned fraction correlates with our target benchmark series of 2, 4, 6, 8, 10, 12?"},{"title":"Investor reporting burn-rate benchmark","prompt":"For our quarterly report I need to show whether our token burn fraction is tracking industry benchmarks. I have 5 data points of burned vs issued supply — please correlate the burn fractions against reference benchmarks of 1, 5, 10, 15, 20."}],"resultDescription":"Returns a deterministic benchmark correlation report showing how strongly the computed burned token fraction (burned_tokens/issued_tokens ratio) across the supplied observation rows correlates with the provided benchmark series, along with a correlation coefficient and possibly a threshold-based verdict. No live scan or trading recommendation is included.","failureModes":["Fewer than 2 rows provided — minimum of 2 observation rows required","Fewer than 2 benchmark values provided — minimum of 2 benchmarks required","issued_tokens value of 0 — exclusiveMinimum constraint prevents division by zero","More than 200 rows or 200 benchmarks supplied — maxItems exceeded","burned_tokens or issued_tokens outside allowed numeric range — validation error","Malformed row objects missing required fields burned_tokens or issued_tokens"],"whenToPreferThis":"Use this endpoint when you need a fast, deterministic, cost-effective ($0.01 USDC) statistical correlation between a token's reported burn fraction and a set of benchmark values across multiple observations. It is particularly suited for tokenomics audits, deflationary target tracking, and investor reporting where you supply your own historical data and need a reproducible calculation without a live blockchain scan or trade recommendation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:53.141Z","isFirstParty":false,"canonicalSlug":"reported-burned-token-fraction-benchmark-correlation-f7812c25"}