{"uid":"cap_4a_j7rhaqR66RYc9uEDGD","slug":"csv-import-rehearsal-analyzer-4511baa6","name":"CSV Import Rehearsal Analyzer","description":"Customer-input analysis tools with per-call x402 v2 USDC payments on Base. Discovery and examples are free.","url":"https://mcp-factory.bowling-anthony.workers.dev/csv-import-rehearsal/analyze","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"ok":true,"rows":[{"index":1,"errors":[],"values":{"id":"1","name":"Doe, Jane","when":"2024-02-29","active":true,"amount":"12.50"},"accepted":true},{"index":2,"errors":[{"code":"required_missing","line":3,"column":"name","message":"required value is blank"},{"code":"type_mismatch","line":3,"column":"when","message":"expected a valid YYYY-MM-DD date"}],"values":{"id":"2","name":null,"when":null,"active":false,"amount":"-3"},"accepted":false}],"headers":["id","name","amount","active","when"],"summary":{"rows":2,"accepted":1,"rejected":1},"corrections":[{"row":1,"after":"12.50","before":"012.50","column":"amount","reason":"normalized decimal format"},{"row":2,"after":"","before":" ","column":"name","reason":"trimmed whitespace"}],"formula_cells":[]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_krArbhljI26xtbzXe1UBR","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Validates and analyzes CSV data rows for import readiness, returning per-row errors, accepted/rejected status, normalized corrections, and a summary.","exampleAgentPrompt":"Can you rehearse this CSV import for me and tell me which rows would be accepted or rejected, what errors are in each row, and what normalizations were applied? Here's the CSV data: id,name,when,active,amount\\n1,Doe Jane,2024-02-29,true,012.50\\n2,,not-a-date,false,-3","exampleUseCases":[{"title":"Pre-import CSV data audit","prompt":"Before I bulk-load this customer CSV into our database, can you run it through the import rehearsal and show me which rows have errors, which are clean, and what got auto-corrected? Here's the CSV: id,name,when,active,amount\\n1,Alice,2024-03-15,true,99.99\\n2,,bad-date,false,0"},{"title":"Detecting required-field gaps in uploads","prompt":"I'm about to import a batch of user records from this CSV but I'm worried some rows are missing required fields like name or date — can you analyze it row by row and flag any required_missing or type_mismatch errors before I commit the import?"},{"title":"Data normalization review for finance team","prompt":"Our finance team uploaded a transaction CSV and some of the amount columns look weirdly formatted — can you run the import rehearsal on it and tell me what normalizations like decimal fixes or whitespace trims were applied before we accept those rows?"}],"resultDescription":"A JSON object with per-row results (index, accepted boolean, parsed values, and a list of errors with code, line, column, and message), plus a headers array, a summary (total rows, accepted count, rejected count), and a corrections array detailing each normalization applied (before/after values, column, and reason).","failureModes":["Malformed CSV input with no parseable headers returns an error response","Rows with ambiguous date formats may produce type_mismatch errors even for borderline-valid inputs","Payment failure (insufficient USDC balance on Base) results in a 402 response blocking execution","Very large CSVs may time out if the Cloudflare Worker execution limit is hit","Missing required columns in the schema definition may cause all rows to be rejected"],"whenToPreferThis":"Choose this endpoint when you need a structured, row-level validation report before committing a CSV to a real import — especially when you want to identify type mismatches, missing required fields, and applied normalizations in a single pass. It is ideal for agent-driven ETL pipelines, customer-data onboarding flows, or any workflow where you want a rehearsal/dry-run before writing data to a database.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:39:05.469Z","isFirstParty":false}