{"uid":"cap_skNXdguPecuIQDhxZmBto","slug":"tree-canopy-observations-numeric-interval-filter-base-100-series-ccfe4e1b","name":"Tree Canopy Observations — Numeric Interval Filter + Base-100 Series","description":"Tree canopy observations — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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-17-128?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_qcLFjCQub_XLZGyn-4ov7","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 analytical reports on supplied tree canopy observation records: filters rows by a numeric interval and computes a Base-100 index series, using local computation engines with no external data lookup.","exampleAgentPrompt":"I have 50 tree canopy observation rows with canopy_m2 and plot_m2 fields — can you filter the canopy_m2 values to only those between 0 and 500, and also generate a Base-100 index series anchored to the first row?","exampleUseCases":[{"title":"Urban canopy coverage range audit","prompt":"I have canopy observation records for 120 plots across three station groups — filter out any canopy_m2 values outside the 10 to 800 range and give me a Base-100 series anchored to row index 0 so I can see relative canopy size."},{"title":"Plot size baseline indexing","prompt":"Can you take these 80 plot_m2 measurements from our urban forestry survey and produce a Base-100 index series using row 5 as the baseline, plus filter to only rows where plot_m2 is between 50 and 5000?"},{"title":"Station group canopy comparison","prompt":"I've got two station groups worth of tree canopy data — around 150 rows total — and I need to see which canopy_m2 records fall between 200 and 1500 square meters, along with a Base-100 indexed series anchored to row 10 for trend comparison."}],"resultDescription":"Returns two reports: (1) rows from the input dataset where the selected numeric field (canopy_m2 or plot_m2) falls within the specified minimum–maximum interval, and (2) a Base-100 index series computed for the selected field anchored to the specified base_index row. Both reports are derived entirely from the supplied input data using local analytical engines — no external data is fetched.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, canopy_m2, plot_m2) on any row — validation error","date field does not match YYYY-MM-DD pattern — schema validation failure","base_index value exceeds the number of supplied rows — out-of-bounds error","minimum greater than maximum — may return empty interval filter result","Non-numeric values in canopy_m2 or plot_m2 when null is not expected — type error","Payment of 0.01 USDC not supplied — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have pre-collected tree canopy or plot area observation records and need two specific analytical outputs — a numeric interval filter and a Base-100 index series — computed from your own data without any live data fetching, prediction, or external enrichment. It is cost-effective at $0.01 for both reports simultaneously on up to 200 rows. Prefer alternatives if you need live canopy data, spatial lookup, predictive modeling, or more than two report types in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:15.725Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-numeric-interval-filter-base-100-series-ccfe4e1b"}