{"uid":"cap_41aEMXp4CjEx2dVizzCFc","slug":"burned-token-fraction-iqr-outlier-detection-403dea57","name":"Burned Token Fraction IQR Outlier Detection","description":"Reported burned token fraction — IQR outlier flags: IQR outlier flags 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 iqr outlier flags report.","url":"https://market.datapackvibe.com/x402/assistant-bx-token-burned-supply-outliers?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}}},"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_saxudfWtdCczhcoanObQ5","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 IQR-based outlier flags for the reported burned token fraction (burned/issued ratio) across a set of token observations","exampleAgentPrompt":"Check whether any of these token observations have outlier burned fractions using IQR analysis: [{burned_tokens: 100000, issued_tokens: 2000000}, {burned_tokens: 5000000, issued_tokens: 2100000}, {burned_tokens: 102000, issued_tokens: 2050000}, {burned_tokens: 99000, issued_tokens: 1980000}] — flag whichever rows look statistically anomalous.","exampleUseCases":[{"title":"Audit suspicious token burn reports","prompt":"I have a list of token burn observations from different reporting periods and one of them looks way off — can you run IQR outlier detection on these burned_tokens and issued_tokens pairs to flag which ones are statistical anomalies?"},{"title":"DeFi protocol burn consistency check","prompt":"We're reviewing our token supply data across 20 snapshots. Run an IQR outlier check on the burned token fractions to see if any snapshots deviate significantly from the typical burn rate."},{"title":"Pre-listing token burn validation","prompt":"Before we list this token, I want to verify the reported burn data looks consistent — here are 15 observations of burned and issued token counts, can you flag any IQR outliers in the burned fraction?"}],"resultDescription":"Returns IQR-based outlier flags for each submitted token observation row, indicating which burned token fraction values fall outside the interquartile range bounds. The output is a deterministic, bounded report — not a live scan or trade recommendation.","failureModes":["Fewer than 2 rows submitted — minimum 2 observations required","More than 200 rows submitted — exceeds maxItems limit","issued_tokens value of 0 — excluded by exclusiveMinimum constraint","burned_tokens or issued_tokens values exceed 10^16 maximum","Malformed row objects missing required burned_tokens or issued_tokens fields","Payment failure via x402 protocol results in no report returned"],"whenToPreferThis":"Choose this endpoint when you need a fast, cheap, deterministic IQR-based outlier check specifically on burned token fraction (burned/issued ratio) across multiple observations. Best suited for pre-analysis validation, consistency auditing, or flagging suspicious burn reports in token datasets of up to 200 rows. Not appropriate for real-time safety scanning, trade recommendations, or outlier detection on non-burn token metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:31.508Z","isFirstParty":false,"canonicalSlug":"burned-token-fraction-iqr-outlier-detection-403dea57"}