{"uid":"cap_0ThmaBBXnLvcsBRFo0Abf","slug":"tree-canopy-observations-numeric-row-ordering-date-by-category-pivot-91e3e821","name":"Tree Canopy Observations — Numeric Row Ordering + Date by Category Pivot","description":"Tree canopy observations — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot for supplied tree canopy observations records (canopy_m2, plot_m2). 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-17-122?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","canopy_m2","plot_m2"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"plot_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"canopy_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","plot_m2":1,"canopy_m2":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","plot_m2":2,"canopy_m2":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","plot_m2":3,"canopy_m2":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","plot_m2":4,"canopy_m2":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["canopy_m2","plot_m2"],"type":"string","default":"canopy_m2"}}},"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_cPjNr5TkpuRMtDP-knpzY","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":"Analyzes user-supplied tree canopy observation records to produce two reports: a numerically ordered row ranking and a date-by-category pivot table for canopy or plot area measurements.","exampleAgentPrompt":"I have up to 200 tree canopy observation rows with fields row_id, station_group, date, canopy_m2, and plot_m2 — can you run both a numeric row ordering report and a date-by-category pivot on the canopy_m2 field for me?","exampleUseCases":[{"title":"Urban forest canopy survey analysis","prompt":"I've got a dataset of 150 tree canopy measurements from different city parks, each tagged with a station group and observation date. Can you rank all the rows by canopy_m2 numerically and also give me a pivot table showing canopy_m2 grouped by date and station group?"},{"title":"Comparing plot coverage across monitoring stations","prompt":"I need two reports on my tree plot survey data: first, order all my observation records numerically by plot_m2, and second, pivot the plot_m2 values by date and monitoring station group — I have about 80 rows across 5 station groups."},{"title":"Seasonal canopy change summary","prompt":"I have canopy observation records from multiple seasonal surveys across different sites — can you produce a numeric row ordering and a date-by-category pivot for the canopy_m2 field so I can see how coverage is trending over time by site?"}],"resultDescription":"Two analytical reports on the supplied dataset: (1) a numerically ordered ranking of all input rows by the selected field (canopy_m2 or plot_m2), and (2) a pivot table cross-tabulating the selected field values by date and station_group category. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array is empty or missing required fields (row_id, date, canopy_m2, plot_m2) — validation error returned","More than 200 rows supplied — request rejected due to row limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Non-numeric values in canopy_m2 or plot_m2 where null not intended — may affect ordering","Payment of 0.01 USDC not provided — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have tree canopy observation records (with canopy_m2 and plot_m2 fields) and need both a numeric row ordering and a date-by-category pivot as two bundled reports in a single call for up to 200 rows. It is a cost-effective offline analytical tool that requires no live data sources, external APIs, or professional assessments — ideal for batch post-processing of survey data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:46.902Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-numeric-row-ordering-date-by-category-pivot-91e3e821"}