{"uid":"cap_aIbRT2uEBgYXddi3ei0sl","slug":"dataset-storage-numeric-interval-filter-equal-width-histogram-98bcf856","name":"Dataset Storage — Numeric Interval Filter + Equal-Width Histogram","description":"Dataset storage — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram for supplied dataset storage records (used_mb, row_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-129?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":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_vxYwbR6xlcEJIcP_sVZrn","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":"Filters dataset storage records (used_mb, row_count) by a numeric interval and produces an equal-width histogram, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 dataset storage rows with used_mb and row_count values — can you filter them to only include rows where used_mb is between 0 and 500, then bucket the used_mb values into 10 equal-width bins and give me both the filtered results and the histogram?","exampleUseCases":[{"title":"Storage usage distribution audit","prompt":"Here are 120 dataset storage records with used_mb and row_count. Filter to rows where used_mb is between 50 and 800, split used_mb into 8 equal-width bins, and give me the histogram so I can see where most of our storage is concentrated."},{"title":"Row count outlier detection","prompt":"I have these 200 dataset rows — can you filter to row_count values between 0 and 10000, use 5 bins, and show me the equal-width histogram so I can spot if any count ranges are unusually dense?"},{"title":"Dataset size segmentation report","prompt":"Run an analysis on my 80 dataset storage records: filter used_mb between 100 and 2000, create 15 equal-width bins, and return the two reports — the interval-filtered records and the histogram breakdown."}],"resultDescription":"Returns two analytical reports: (1) the subset of submitted dataset storage rows whose chosen field (used_mb or row_count) falls within the specified [minimum, maximum] interval, and (2) an equal-width histogram dividing that field's value range into the requested number of bins with frequency counts per bin. No external data is fetched; analysis is performed entirely on the supplied rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","minimum greater than maximum — invalid interval, likely error response","bins value outside 1–30 range — validation error","Missing required fields (row_id, dataset_group, date, used_mb, row_count) in any row — schema validation failure","All rows filtered out by interval — empty result set with zero-count histogram","Null values in the selected field — may be excluded from histogram or treated as missing"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset storage records in hand and need both a numeric range filter and a frequency histogram in one call for either the used_mb or row_count field. It is ideal for local analytical tasks on supplied data without needing live lookups, external databases, or predictions — and provides two distinct reports (filter result + histogram) for a single $0.01 USDC fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:20.065Z","isFirstParty":false,"canonicalSlug":"dataset-storage-numeric-interval-filter-equal-width-histogram-98bcf856"}