{"uid":"cap_ytvThAlKiK5Kvnbnhzy0T","slug":"quietforge-dataset-quality-audit-4d689025","name":"Quietforge Dataset Quality Audit","description":"Pay-per-call document conversion, PDF text extraction, headless-browser rendering of a URL or HTML to PNG / JPEG / PDF, a health-probed directory of x402 pay-per-call endpoints, a sudoku generator (solver-verified, technique-graded puzzles as JSON or a print-ready A4/Letter book), a book typesetter (prose manuscript to a KDP-ready interior PDF + editable docx), a crossword generator (verified freeform grid from your clue/answer pairs as JSON or print-ready PDFs), a family tree chart layout engine (descendant / ancestor / hourglass charts from people+families JSON or a GEDCOM file, as verified layout JSON or print-ready poster and tiled PDFs), and a dataset quality audit tool (duplicates, missing values, type consistency, class imbalance, numeric outliers and PII-pattern counts for a CSV/JSON dataset, as JSON or a one-page PDF summary). Payment: x402 (USDC on Base). No signup, no API key.","url":"https://qf-api.quietforge-studio.workers.dev/v1/dataset-audit?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"data":{"type":"string","description":"the dataset itself: CSV text, or a JSON array of flat objects. Max 5242880 bytes, 50000 rows, 200 columns, and 2000000 cells (rows x columns) — the cell cap binds first on wide datasets."},"format":{"enum":["auto","csv","json"],"type":"string","description":"auto (default, sniffs '[' for JSON), csv, or json"}}},"responseSchema":{"type":"json","example":{"issues":["1 duplicate row(s) (25.0% of rows)","Column 'age' is 25.0% missing","Column 'email' looks like it may contain email-pattern data (2 match(es))"],"columns":[{"name":"id","dtype":"int","mixed_type":false,"missing_pct":0,"missing_count":0},{"name":"name","dtype":"string","mixed_type":false,"missing_pct":0,"missing_count":0},{"name":"email","dtype":"string","mixed_type":false,"missing_pct":0,"missing_count":0},{"name":"age","dtype":"int","mixed_type":false,"missing_pct":25,"missing_count":1,"outlier_count":0}],"col_count":4,"pii_flags":[{"column":"email","pattern":"email","match_count":2}],"row_count":4,"elapsed_ms":3,"quality_score":79,"duplicate_row_count":1,"duplicate_row_indexes":[2]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","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":"$0.03/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_OK5a7LnbwPdYuMHgmqbzy","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Audits a CSV or JSON dataset for duplicates, missing values, type inconsistencies, class imbalance, numeric outliers, and PII patterns, returning a structured quality report","exampleAgentPrompt":"Can you run a data quality audit on this CSV I'm about to paste — I need to know about duplicate rows, missing values, outliers, and whether any column looks like it contains emails or other PII?","exampleUseCases":[{"title":"Pre-training dataset validation","prompt":"Before I fine-tune this model, can you audit this CSV dataset for me — flag any duplicate rows, missing values, outliers, and tell me the overall quality score so I know if it's ready to use?"},{"title":"PII scan before data sharing","prompt":"I need to share this customer JSON dataset with a third party — can you check it for any columns that might contain email addresses, phone numbers, or other PII patterns before I send it over?"},{"title":"Data pipeline health check","prompt":"Here's a CSV export from our database — can you analyze it for type inconsistencies, high missing-value columns, and duplicate records, and give me a summary of the issues found?"}],"resultDescription":"Returns a JSON object with: a 'quality_score' (0-100), an 'issues' array of human-readable problem descriptions, a 'columns' array with per-column dtype, missing count/percentage, outlier count, and mixed-type flag, plus 'duplicate_row_count', 'duplicate_row_indexes', 'pii_flags' listing any columns matching PII patterns (email, phone, etc.), 'row_count', 'col_count', and 'elapsed_ms'. Optionally available as a one-page PDF summary.","failureModes":["Dataset exceeds 5 MB, 50,000 rows, 200 columns, or 2,000,000 cells — returns an error","Malformed CSV or non-flat JSON array — parsing fails with an error response","Payment not included or insufficient — returns HTTP 402 requiring x402 USDC payment on Base","Empty dataset — may return minimal output with no meaningful issues","Auto-detection misidentifies format — caller should specify 'csv' or 'json' explicitly"],"whenToPreferThis":"Choose this endpoint when you need a fast, pay-per-call dataset quality audit with no signup — especially useful for one-off checks before ML training, data sharing, or pipeline validation. It covers a broad set of quality dimensions (duplicates, missing values, type consistency, outliers, PII) in a single call, returning a machine-readable JSON report with a summary quality score. Prefer it over manual pandas profiling when you need a quick automated check from an agent workflow without standing up local infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T00:43:56.363Z","isFirstParty":false,"canonicalSlug":"quietforge-dataset-quality-audit-4d689025"}