{"uid":"cap_zbSe83-BGeD9MCF5pevjU","slug":"receivables-turnover-distribution-histogram-7a28bd8d","name":"Receivables Turnover Distribution Histogram","description":"Receivables turnover - Distribution histogram: Bin up to 200 calculated observations into equal-width bins, including edge definitions. 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 distribution histogram report.","url":"https://market.datapackvibe.com/x402/assistant-finance-receivable-turnover-histogram?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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}}},"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_2_eQg-NW1lwJQe4P_oB-g","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":"Bins up to 200 receivables turnover observations into equal-width histogram bins, returning bin edges, frequencies, the formula, units, and limitations.","exampleAgentPrompt":"Take these 20 quarterly records with net credit sales and average receivables figures and bin the calculated receivables turnover ratios into 10 equal-width histogram buckets — I want to see the bin edges and frequencies.","exampleUseCases":[{"title":"Portfolio receivables turnover spread analysis","prompt":"I have 80 company records each with net credit sales and average receivables — can you bucket the calculated receivables turnover ratios into 8 equal-width histogram bins so I can see how the values are distributed across the portfolio?"},{"title":"Quarterly trend distribution for a single firm","prompt":"Here are 24 quarters of net credit sales and average receivables data for our company. Bin the receivables turnover ratios into 6 histogram bins and show me the edges and counts so I can spot any skew over the years."},{"title":"Benchmarking turnover distribution across industry peers","prompt":"I've collected net credit sales and average receivables for 150 industry peers. Create a 15-bin histogram of their receivables turnover ratios so I can see where most companies cluster and identify outliers."}],"resultDescription":"A JSON response containing the histogram bin definitions (edges and widths), observation counts per bin, the calculated receivables turnover values used, the formula applied (net_credit_sales / average_receivables), units, and any limitations of the analysis.","failureModes":["Fewer than 2 rows supplied — minimum 2 observations required","average_receivables of 0 causes division-by-zero — exclusiveMinimum enforced","More than 200 rows supplied — exceeds maximum item count","bins parameter outside 1–30 range returns validation error","Non-numeric or missing required fields net_credit_sales or average_receivables returns schema error","Payment of 0.01 USDC not settled causes 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need to understand the frequency distribution of receivables turnover across multiple observations (periods, companies, or scenarios) rather than a single point calculation. It is ideal for spotting clustering, skew, and outliers across a dataset of up to 200 records. Prefer it over single-calculation or ranking endpoints when the shape of the distribution matters, not just individual values or rankings.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T02:01:58.084Z","isFirstParty":false,"canonicalSlug":"receivables-turnover-distribution-histogram-7a28bd8d"}