{"uid":"cap_9ZqVgcG_9C0KbFlTUgfFA","slug":"price-quote-imports-csv-column-statistics-67baf317","name":"Price Quote Imports — CSV Column Statistics","description":"Price quote imports — Column statistics: Column statistics for Price quote 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-quotes-column-stats?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"quote_id,quoted_on,supplier_id,unit_price,minimum_quantity\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_9EiiZcJEnG3bjuwGq_eif","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 a CSV of price quote import data and returns per-column descriptive statistics for up to 1000 rows.","exampleAgentPrompt":"Can you run column statistics on my price quote imports CSV — it uses comma delimiters, has columns like quote_id, quoted_on, supplier_id, unit_price, and minimum_quantity, and I want to make sure unit_price stays between 0 and 500000 with allowed supplier categories group-a and group-b?","exampleUseCases":[{"title":"Validate supplier quote file before import","prompt":"I just exported a supplier price quote CSV with columns for quote_id, quoted_on, supplier_id, unit_price, and minimum_quantity — can you run column statistics on it to make sure all the unit_price values are between 1 and 999999 and all supplier_ids are either group-a or group-b?"},{"title":"Audit pricing data quality for procurement review","prompt":"We're preparing a procurement audit and need column-level stats on our price quote imports CSV — it's comma-delimited, and I need to flag any unit_price values outside 0 to 1000000 and check that the supplier categories only contain the allowed values."},{"title":"Catch data issues in quoted cell CSV export","prompt":"Our ERP exported a price quote CSV with some quoted cells in it — can you analyze the columns and give me statistics to help identify any bad data before we load it into the system? Delimiter is comma, max cell length should be 500."}],"resultDescription":"A column statistics report covering each column in the submitted CSV, including metrics such as value counts, data type distributions, numeric range compliance, category membership validation, and cell length checks — surfacing data quality issues row by row across up to 1000 records.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — rows beyond limit ignored or error returned","Invalid delimiter specified (not comma, semicolon, or tab) — validation error","Numeric values outside specified minimum/maximum bounds flagged or rejected","Cell content exceeds max_cell_length — flagged as violation","Malformed CSV with unclosed quotes — parsing error","Empty CSV string submitted — error returned"],"whenToPreferThis":"Choose this endpoint when you need fast, cheap ($0.01 USDC) per-column descriptive statistics and validation on a price quote CSV before importing it into a procurement or ERP system. It is purpose-built for the price quote domain (quote_id, supplier_id, unit_price, minimum_quantity columns) and supports quoted cells, custom delimiters, numeric range enforcement, and category allow-listing — making it ideal for data quality gates in automated import pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:38.999Z","isFirstParty":false,"canonicalSlug":"price-quote-imports-csv-column-statistics-67baf317"}