{"uid":"cap_jf04yxJ4R8WuCjSVzkC1G","slug":"receivables-turnover-threshold-classification-5c2a744d","name":"Receivables Turnover – Threshold Classification","description":"Receivables turnover - Threshold classification: Classify up to 200 calculated values against supplied inclusive bounds. Metric: Receivables turnover. 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 threshold classification report.","url":"https://market.datapackvibe.com/x402/assistant-finance-receivable-turnover-threshold?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["net_credit_sales","average_receivables"],"properties":{"net_credit_sales":{"type":"number","default":40000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period"},"average_receivables":{"type":"number","default":8000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period","exclusiveMinimum":0}},"additionalProperties":false},"default":[{"net_credit_sales":40000,"average_receivables":8000},{"net_credit_sales":44000,"average_receivables":8800},{"net_credit_sales":40000,"average_receivables":8000},{"net_credit_sales":44000,"average_receivables":8800}],"maxItems":200,"minItems":2},"lower":{"type":"number","default":0,"maximum":1000000000000000000,"minimum":-1000000000000000000},"upper":{"type":"number","default":100,"maximum":1000000000000000000,"minimum":-1000000000000000000}}},"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_KHa9jQtsBqIfLv2nDMCwM","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":"Classifies up to 200 receivables turnover values against user-supplied inclusive lower and upper bounds, returning JSON with formula, units, and limitations.","exampleAgentPrompt":"I have 4 periods of sales data — net credit sales of $40,000 and $44,000 alternating with average receivables of $8,000 and $8,800 — can you classify each receivables turnover value against a lower bound of 4 and upper bound of 6, and tell me which periods fall inside that range?","exampleUseCases":[{"title":"Quarterly AR efficiency audit","prompt":"Here are 8 quarters of data: net credit sales ranging from $500K to $750K and average receivables from $80K to $120K — classify each receivables turnover ratio against a lower threshold of 5 and upper threshold of 10 so I can flag any underperforming quarters."},{"title":"Multi-entity benchmark comparison","prompt":"I have 12 business units, each with their own net credit sales and average receivables figures for last year — run the receivables turnover calculation on all of them and classify each one against a lower bound of 6 and upper bound of 12 so I can see which units are outside the acceptable range."},{"title":"Month-over-month trend classification","prompt":"Can you take these 24 months of net credit sales and average receivables numbers and classify each month's receivables turnover against a lower bound of 4.5 and upper bound of 8, returning which months are below, within, or above that band?"}],"resultDescription":"A JSON response containing, for each input row, the calculated receivables turnover value and its threshold classification (below, within, or above the supplied inclusive bounds), along with the formula used, units, and stated limitations of the metric.","failureModes":["average_receivables must be greater than zero (exclusiveMinimum enforced) — zero value causes validation error","fewer than 2 rows supplied returns an error (minItems: 2 required)","more than 200 rows supplied returns an error (maxItems: 200 limit)","lower or upper bound values outside the supported numeric range cause rejection","net_credit_sales or average_receivables exceeding 1,000,000,000,000 trigger max constraint errors","missing required fields net_credit_sales or average_receivables per row cause schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need to batch-classify multiple periods or entities of receivables turnover against a specific numeric range without writing your own formula logic. It is ideal for automated financial reporting pipelines, exception flagging, and compliance checks where a consistent threshold definition must be applied uniformly to 2–200 data rows. Prefer it over generic computation tools when you need the classification bundled with the formula provenance and unit metadata in a single structured response.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:46:47.994Z","isFirstParty":false,"canonicalSlug":"receivables-turnover-threshold-classification-5c2a744d"}