{"uid":"cap_AX97K8218RZ7DoMeexOT5","slug":"coordinate-quality-checks-numeric-row-ordering-equal-width-histogram-be3ada52","name":"Coordinate Quality Checks — Numeric Row Ordering + Equal-Width Histogram","description":"Coordinate quality checks — Numeric row ordering + Equal-width histogram: Numeric row ordering + Equal-width histogram for supplied coordinate quality checks records (checked_points, flagged_points). 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-weather-23-118?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","station_group","date","checked_points","flagged_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"checked_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","checked_points":10,"flagged_points":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","checked_points":20,"flagged_points":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","checked_points":15,"flagged_points":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","checked_points":30,"flagged_points":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_points","flagged_points"],"type":"string","default":"checked_points"}}},"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_AOPm9LHcSjT62X_PzhwWH","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":"Runs two local analytical reports on coordinate quality check records: numeric row ordering and equal-width histogram distribution, for up to 200 rows of checked_points or flagged_points data.","exampleAgentPrompt":"Can you run a numeric row ordering report and a 10-bin equal-width histogram on these coordinate quality check records for the checked_points field? I have 4 rows from station groups A and B dated 2026-10-01 through 2026-10-04.","exampleUseCases":[{"title":"Flagged point distribution for QC audit","prompt":"I have 50 rows of coordinate quality check data with flagged_points values across multiple station groups — can you give me a numeric ordering of the rows and a 10-bin histogram so I can see where most flags cluster?"},{"title":"Checked points histogram for weather stations","prompt":"Run an equal-width histogram with 5 bins and a sorted row ordering on my checked_points data — I have 30 rows across station groups A, B, and C from October 2026."},{"title":"Outlier scan via row ordering on QC records","prompt":"I need to identify extreme values in my flagged_points column — can you sort all 120 rows numerically and build a 20-bin histogram so I can spot the outliers in the distribution?"}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering of the input rows sorted by the selected field (checked_points or flagged_points), and (2) an equal-width histogram partitioning the field's values into the specified number of bins with counts per bin. No external lookups or predictions are performed — all computation is local to the supplied data.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems limit","Invalid date format in rows (must match YYYY-MM-DD pattern)","Missing required row fields (row_id, station_group, date, checked_points, flagged_points)","bins parameter out of range (must be 1–30)","Field value not in enum (must be 'checked_points' or 'flagged_points')","All values for the selected field are null — histogram cannot be computed","Payment not included or insufficient — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have tabular coordinate quality check records (up to 200 rows) and need both a sorted numeric ordering and an equal-width histogram in a single low-cost call. It is ideal for offline, self-contained data analysis where no live data lookup, external API call, or prediction is needed. Prefer it over general-purpose analytics tools when you want a bundled two-report output (ordering + histogram) specifically scoped to checked_points or flagged_points fields at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:51.171Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-numeric-row-ordering-equal-width-histogram-be3ada52"}