{"uid":"cap_yhNRMuEkXqH0hxNV-EhLB","slug":"quietforge-dataset-audit-pdf-report-60ed5969","name":"Quietforge Dataset Audit PDF Report","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/pdf?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":{"bytes":9000,"files":["report.json","summary.pdf"],"pages":1,"col_count":4,"row_count":4,"elapsed_ms":40,"content_type":"application/zip","quality_score":79,"content_base64":"UEsDBBQ...","duplicate_row_count":1}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"1.99","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":"$1.99/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.99","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.99","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_56HjTSDrBFfm4KOzteaxl","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.99","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 data quality issues—duplicates, missing values, type inconsistency, class imbalance, numeric outliers, and PII patterns—and returns a one-page PDF summary plus a JSON report in a ZIP archive.","exampleAgentPrompt":"Can you audit this CSV dataset for data quality issues—duplicates, missing values, type inconsistencies, outliers, class imbalance, and any PII patterns—and give me back a one-page PDF summary along with the detailed JSON report?","exampleUseCases":[{"title":"Pre-ML data quality check","prompt":"Before I train my model, can you run a quality audit on this CSV file and tell me how many duplicate rows there are, whether there are any missing values, and flag any numeric outliers? I want the PDF summary so I can share it with the team."},{"title":"PII scan before data sharing","prompt":"I need to share this JSON dataset with a third party—can you audit it first and tell me if there are any PII patterns detected, plus give me a quality score and a printable one-page PDF I can attach to the data-sharing agreement?"},{"title":"Class imbalance check for classification task","prompt":"I'm working on a classification problem and I'm worried my training data might be imbalanced—can you audit this CSV for class imbalance, missing values, and type consistency issues, and return both the detailed JSON breakdown and the one-page PDF summary?"}],"resultDescription":"Returns a ZIP archive (base64-encoded) containing a machine-readable JSON audit report and a one-page print-ready PDF summary. The JSON includes quality score (0–100), duplicate row count, row and column counts, elapsed processing time, and flags for missing values, type inconsistencies, numeric outliers, class imbalance, and PII-pattern counts. The PDF provides a human-shareable one-page visual summary of the same findings.","failureModes":["Dataset exceeds 5 MB, 50,000 rows, 200 columns, or 2,000,000 cells — returns a size-limit error","Malformed CSV or JSON that cannot be parsed — format detection or parsing error","Payment not received or insufficient USDC — x402 payment required response before processing","Empty dataset with zero rows — may return minimal or error response","Network timeout on very large datasets approaching limits"],"whenToPreferThis":"Choose this endpoint when you need a comprehensive, automated data quality audit of a tabular dataset (CSV or JSON) delivered as both a machine-readable JSON report and a human-shareable one-page PDF — especially when no signup or API key is desired and pay-per-call via USDC is acceptable. Prefer this over manual pandas profiling scripts when you need a portable PDF artifact, or over generic LLM-based data inspection when you want deterministic duplicate counts, outlier detection, and PII-pattern scanning in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T00:44:14.561Z","isFirstParty":false,"canonicalSlug":"quietforge-dataset-audit-pdf-report-60ed5969"}