{"uid":"cap_UFptJIG9RNnOIL2YqOm5V","slug":"unit-contribution-iqr-outlier-flags-4a211681","name":"Unit Contribution IQR Outlier Flags","description":"Unit contribution - IQR outlier flags: Flag observations beyond 1.5 times the interquartile range; statistical flags are not errors or fraud findings. Metric: Unit contribution. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded iqr outlier flags report.","url":"https://market.datapackvibe.com/x402/assistant-finance-unit-contribution-outliers?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["unit_price","variable_cost_per_unit"],"properties":{"unit_price":{"type":"number","default":20,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period"},"variable_cost_per_unit":{"type":"number","default":12,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period"}},"additionalProperties":false},"default":[{"unit_price":20,"variable_cost_per_unit":12},{"unit_price":22,"variable_cost_per_unit":13.200000000000001},{"unit_price":20,"variable_cost_per_unit":12},{"unit_price":22,"variable_cost_per_unit":13.200000000000001}],"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_UKbgdZKTZJ4Y6NDlw_ZOy","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":"Flags unit contribution observations that fall beyond 1.5× the interquartile range, returning a JSON report with formula, units, and limitations.","exampleAgentPrompt":"Can you flag any IQR outliers in this unit contribution data — I have four products with unit prices of 20, 22, 20, and 22 and variable costs of 12, 13.20, 12, and 13.20 respectively? I want to know which observations fall beyond 1.5 times the interquartile range.","exampleUseCases":[{"title":"Product line anomaly screening","prompt":"I have a batch of 10 product records with unit prices and variable costs — can you run an IQR outlier check on the unit contributions and tell me which products look statistically extreme? The prices range from 15 to 95 and variable costs from 8 to 60."},{"title":"Cost data quality audit","prompt":"Before I finalize this month's contribution margin report, can you flag any rows in my dataset that fall outside 1.5 times the interquartile range? I'll give you all the unit prices and variable costs so you can identify statistical anomalies."},{"title":"Multi-SKU contribution review","prompt":"We have 12 SKUs with varying unit prices and variable costs — can you run the IQR outlier flagging on all of them to see if any unit contributions are statistically unusual? I want the formula and limitations included in the result too."}],"resultDescription":"A JSON object containing IQR-based outlier flags for each submitted row, along with the formula used to calculate unit contribution, units, and explicit limitations (flags are statistical, not fraud or error determinations).","failureModes":["Fewer than 2 rows submitted — minimum row count not met","unit_price or variable_cost_per_unit missing from a row — required fields absent","Values exceed maximum of 1,000,000,000,000 — out-of-range inputs","More than 200 rows submitted — exceeds maxItems limit","Inconsistent currency or reporting periods across rows — results may be misleading but no error raised"],"whenToPreferThis":"Choose this endpoint when you need a fast, bounded statistical outlier screen on unit contribution data using the IQR method (1.5× rule) and want a structured JSON result with formula and limitation disclosures. Prefer it over manual analysis or full-blown anomaly detection services when you have 2–200 records and need a lightweight, low-cost ($0.01 USDC) statistical flag report without live data feeds or financial advice.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:28.812Z","isFirstParty":false,"canonicalSlug":"unit-contribution-iqr-outlier-flags-4a211681"}