{"uid":"cap_dCeBwtXiDwzz0dJXm5krh","slug":"property-listing-imports-column-statistics-309675bd","name":"Property Listing Imports — Column Statistics","description":"Property listing imports — Column statistics: Column statistics for Property listing imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV column statistics report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-properties-column-stats?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"listing_id,listed_on,region_id,asking_price,floor_area_sqm\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3","maxLength":100000,"minLength":1},"maximum":{"type":"number","default":1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":-1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"delimiter":{"enum":[",",";","\t"],"type":"string","default":","},"max_cell_length":{"type":"integer","default":1000,"maximum":5000,"minimum":1},"allowed_categories":{"type":"array","items":{"type":"string","default":"","maxLength":100,"minLength":1},"default":["group-a","group-b"],"maxItems":100,"minItems":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_ojTPePH66htHpL3wSfERY","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":"Computes column-level statistics for a property listing CSV, validating data types, numeric ranges, category allowlists, and cell lengths up to 1000 rows.","exampleAgentPrompt":"Can you run column statistics on this property listing CSV — it has listing_id, listed_on, region_id, asking_price, and floor_area_sqm columns, comma-delimited, with numeric values between 0 and 5000000, and allowed categories group-a and group-b? I need to validate it before importing.","exampleUseCases":[{"title":"Pre-import data quality check","prompt":"Before I upload this batch of property listings to our platform, can you run column statistics on this CSV and flag any values outside the price range of 50000 to 10000000, or any region codes not in my allowed list of zone-1, zone-2, and zone-3?"},{"title":"Real estate data pipeline validation","prompt":"I have a semicolon-delimited CSV with property listing records — listing_id, listed_on, region_id, asking_price, floor_area_sqm — and I need a column stats report to make sure the numeric columns are sane and the categories match my allowlist of north, south, east, west before I push it downstream."},{"title":"Spot-checking agent-generated listing data","prompt":"My AI scraped a bunch of property listings into a CSV and I need to verify the column data looks right — can you compute column statistics on it using a comma delimiter, cap cell length at 500, and check that asking prices are between 10000 and 2000000?"}],"resultDescription":"Returns a per-column statistics report for the submitted property listing CSV, including data type classifications, numeric min/max/mean summaries, category allowlist compliance results, cell length violations, and any rows exceeding the configured constraints — all within a 1000-row limit.","failureModes":["CSV exceeds 1000 rows — only first 1000 may be processed or an error is returned","CSV string exceeds 100000 character limit — request rejected","Invalid delimiter specified outside the allowed enum (comma, semicolon, tab)","Malformed CSV with unclosed quotes or inconsistent column counts — parsing error","Numeric minimum greater than maximum — invalid range configuration","Cell content exceeds max_cell_length — flagged or rejected","Empty CSV body — minLength:1 violated"],"whenToPreferThis":"Choose this endpoint when you need lightweight, fast column-level profiling and validation of a property listing CSV before ingestion into a pipeline or database. It is purpose-built for real estate listing data with fields like listing_id, region, asking price, and floor area, and supports category allowlist enforcement and numeric range checks out of the box. Prefer it over generic CSV validators when you need a structured statistics report rather than just a pass/fail result, and when your data fits within 1000 rows and 100KB.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:41.351Z","isFirstParty":false,"canonicalSlug":"property-listing-imports-column-statistics-309675bd"}