{"uid":"cap_-7naOnj9gLppGQC8Ds9jg","slug":"property-listing-imports-numeric-type-check-beff2139","name":"Property Listing Imports — Numeric Type Check","description":"Property listing imports — Numeric type check: Numeric type check 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 numeric type check report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-properties-types?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_zauildHRjkA9vouH2mqB3","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":"Validates that numeric columns in a property listing CSV contain only valid numeric values within specified bounds, returning a type-check report for up to 1000 rows.","exampleAgentPrompt":"Check the numeric columns in my property listings CSV for type errors — the file uses a comma delimiter, and asking prices should be between 0 and 5000000 with floor area in sqm also numeric; the categories are group-a and group-b.","exampleUseCases":[{"title":"Pre-import data quality gate","prompt":"Before I upload this property listings CSV to the portal, can you run a numeric type check on it to make sure the asking_price and floor_area_sqm columns only contain valid numbers? The delimiter is a comma and prices should be between 50000 and 10000000."},{"title":"Detecting bad rows from a data feed","prompt":"I just received a CSV feed of property listings from an external partner and I need to know which rows have invalid numeric values — can you validate the numeric fields and tell me which records have type errors?"},{"title":"Validating regional listing exports","prompt":"I have a semicolon-delimited CSV export of property listings for regions group-a and group-b — can you check that all the numeric columns like asking price and floor area are properly typed, with no nulls or text values sneaking in?"}],"resultDescription":"A numeric type check report covering up to 1000 rows of the submitted property listing CSV, identifying which rows and cells contain invalid (non-numeric) values in declared numeric columns, along with bounds violations and category mismatches where applicable.","failureModes":["CSV exceeds 100,000 character limit — request rejected","Rows exceed 1000-row limit — only first 1000 processed or error returned","Invalid delimiter specified — parsing fails","Numeric values outside specified min/max bounds flagged as violations","Malformed CSV (unclosed quotes, inconsistent columns) — parse error returned","Empty CSV input — validation error"],"whenToPreferThis":"Choose this endpoint when you need a fast, cheap ($0.01 USDC) automated check that numeric columns in a property listing CSV are correctly typed before an import or ETL pipeline step. It is purpose-built for the property listings domain with support for category allowlists and configurable numeric bounds, making it more precise than a generic CSV validator for this specific use case.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:12:43.659Z","isFirstParty":false,"canonicalSlug":"property-listing-imports-numeric-type-check-beff2139"}