{"uid":"cap_qdM8VqiuBX7rqlpADDFWO","slug":"trixie-lasagne-dataset-profiler-5ff9b9a8","name":"Trixie Lasagne Dataset Profiler","description":"Deterministic dataset profile (CSV/Parquet)","url":"https://api.trixielasagne.com/v1/data/profile","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"file":{"type":"string","format":"binary","description":"Dataset file to profile (CSV or Parquet)"},"metadata":{"type":"string","description":"Optional JSON string: {format, options, limits}. See https://github.com/RobFarcrowd/trixie-lasagne/blob/main/API.md"}}},"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_8kPPiEYznZlPrs9VWUO4e","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":"Generates a deterministic statistical profile of a CSV or Parquet dataset file, returning column-level summaries, data types, and quality metrics","exampleAgentPrompt":"Can you profile this CSV file for me — I want to know column types, null counts, and value distributions so I understand what's in the dataset before I start cleaning it?","exampleUseCases":[{"title":"Pre-pipeline data quality check","prompt":"Before I run my ETL pipeline, can you profile this Parquet file and tell me which columns have nulls and what the data types look like?"},{"title":"Exploratory analysis of new dataset","prompt":"I just got this CSV from a vendor and have no idea what's in it — can you profile it and give me a breakdown of every column, its type, and some basic stats?"},{"title":"Automated dataset audit in CI","prompt":"Run a deterministic profile on this sales_data.csv so I can compare it against last week's profile and catch any schema drift or unexpected null spikes."}],"resultDescription":"Returns a structured statistical profile of the uploaded dataset including per-column data types, null/missing value counts, row count, unique value counts, min/max/mean/median for numeric columns, and sample value distributions. Output is deterministic for the same input file.","failureModes":["Unsupported file format (not CSV or Parquet) returns an error","Malformed or corrupt file may cause parsing failure","File too large may exceed size limits defined in options","Invalid metadata JSON string causes request rejection","Network timeout for very large files"],"whenToPreferThis":"Use this endpoint when you need a fast, deterministic, reproducible statistical profile of a tabular CSV or Parquet file — especially useful before data cleaning, pipeline ingestion, or schema validation steps. Prefer this over general-purpose code execution when you want a consistent, structured report without writing custom profiling code.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:30:59.818Z","isFirstParty":false}