{"uid":"cap_W0O6PCKop-z56kAeXanVf","slug":"tree-canopy-observations-record-quality-audit-base-100-series-f158c217","name":"Tree Canopy Observations — Record Quality Audit + Base-100 Series","description":"Tree canopy observations — Record quality audit + Base-100 series: Record quality audit + 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-17-012?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"},"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_n_VY8YGWcMD55w_QMWBwZ","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 a record quality audit and Base-100 index series on up to 200 rows of tree canopy observation data (canopy_m2, plot_m2), returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of my tree canopy observation records and compute a Base-100 index series for canopy_m2 starting from row index 0? I have 4 rows across two station groups for dates in October 2026.","exampleUseCases":[{"title":"Urban forestry data quality check","prompt":"I've collected tree canopy and plot area measurements from 150 urban monitoring stations — can you run a record quality audit on all these rows and flag any data issues before I submit them to the city?"},{"title":"Baseline-indexed canopy coverage trend","prompt":"Take my 80 rows of canopy_m2 observations from the Riverside station group and compute a Base-100 index series using row index 0 as the baseline so I can see how coverage has changed over time."},{"title":"Plot area anomaly detection for field audit","prompt":"I need to audit my plot_m2 records from three different station groups — can you check them for quality issues and generate the Base-100 series for plot_m2 starting from base index 5?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or anomalous records in the supplied canopy observation rows; and (2) a Base-100 index series for the chosen field (canopy_m2 or plot_m2) relative to the specified base row index.","failureModes":["Exceeding 200 rows returns an error — input must be capped at maxItems","Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) cause validation failure","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index out of range (0–199) relative to actual row count causes an error","Null or extreme numeric values may be flagged but not necessarily rejected","Payment failure (insufficient USDC) results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have tree canopy observation records (canopy_m2, plot_m2 fields) and need both a data quality audit and a Base-100 index series in a single low-cost call. Prefer it over generic data quality tools when your domain is specifically tree canopy or ecological plot measurements and you want two complementary reports (quality + indexing) from shared local analytical engines without any external lookup or live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:19.137Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-record-quality-audit-base-100-series-f158c217"}