{"uid":"cap_FNRG9309ZqbOSkoOr1e5C","slug":"token-supplied-rule-flag-fraction-iqr-outlier-flags-f0372842","name":"Token Supplied Rule-Flag Fraction — IQR Outlier Flags","description":"Token supplied rule-flag fraction — IQR outlier flags: IQR outlier flags for Token supplied rule-flag 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-flag-share-outliers?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["flagged_rules","evaluated_rules"],"properties":{"flagged_rules":{"type":"number","default":2,"maximum":10000000000000000,"minimum":0},"evaluated_rules":{"type":"number","default":10,"maximum":10000000000000000,"minimum":0,"exclusiveMinimum":0}},"additionalProperties":false},"default":[{"flagged_rules":2,"evaluated_rules":10},{"flagged_rules":2.2,"evaluated_rules":11},{"flagged_rules":2,"evaluated_rules":10},{"flagged_rules":2.2,"evaluated_rules":11}],"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_Cq2wmCycUA77fnMToSHKd","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 fraction of flagged rules among supplied token observations, returning a deterministic statistical verdict per row.","exampleAgentPrompt":"Run an IQR outlier check on these token rule-flag fractions — I have 4 observations where flagged_rules are 2, 2.2, 2, and 2.2, and evaluated_rules are 10, 11, 10, and 11. Tell me which ones are flagged as outliers.","exampleUseCases":[{"title":"Token compliance anomaly screening","prompt":"I have a batch of token observations with rule evaluation counts. Can you run the IQR outlier detection on the rule-flag fractions? Here are 5 rows: flagged_rules [3, 1, 9, 2, 2] and evaluated_rules [10, 10, 10, 10, 10]. Flag any that look like outliers."},{"title":"Periodic rule-flag health check","prompt":"Every day I collect rule evaluation stats across our tracked tokens. Run the IQR outlier flag check on today's batch — rows are: [{flagged:1, evaluated:12},{flagged:2, evaluated:12},{flagged:8, evaluated:12},{flagged:2, evaluated:11}] — and tell me which tokens have anomalous flag fractions."},{"title":"Quality gate for token rule data","prompt":"Before we include these tokens in our report, I need to know if any of them have suspiciously high or low rule-flag fractions compared to the group. Run the IQR outlier analysis on these 6 rows: flagged_rules [0,1,2,2,1,10] and evaluated_rules [5,5,5,5,5,5]."}],"resultDescription":"Returns IQR-based outlier flag verdicts for each submitted token observation row, indicating which rows have rule-flag fractions that fall outside the interquartile range bounds. The result is a deterministic statistical calculation — not a live scan, safety proof, or trade recommendation.","failureModes":["Fewer than 2 rows submitted — minimum array size is 2","evaluated_rules set to 0 — violates exclusiveMinimum constraint and will be rejected","More than 200 rows submitted — exceeds maxItems limit","Non-numeric or missing flagged_rules or evaluated_rules fields — schema validation error","Negative values for flagged_rules or evaluated_rules — violates minimum:0 constraint"],"whenToPreferThis":"Use this endpoint when you need a fast, deterministic IQR-based statistical outlier verdict on the fraction of flagged compliance rules among a set of token observations (2–200 rows). Prefer it over generic statistics libraries when you want a bounded, pre-configured report with per-row outlier flags at low cost ($0.01 USDC). Not appropriate for live scanning, trade signals, or safety proofs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T07:01:38.611Z","isFirstParty":false,"canonicalSlug":"token-supplied-rule-flag-fraction-iqr-outlier-flags-f0372842"}