
EDA reports for your datasets
DataCleanist analyzes tabular data files (CSV, TSV, Excel) and produces a deterministic exploratory data analysis: missing values, duplicates, outliers, distributions, correlations, VIF, mutual information, leakage suspects, PII flags, and a 0-100 data quality score with a five-dimension breakdown. Every number is computed by real code from the file itself - never estimated by a language model - and arrives with an interactive report card (Deep Dive statistics, per-column inspection, scatter explorer) rendered in the conversation.
Example path →
https://api.datacleanist.com/mcpDataCleanist provides deterministic data-quality analysis (EDA) for tabular files. Workflow: when a user attaches a CSV/TSV/Excel file and asks for a profile, EDA, or cleaning assessment, call . For demos, call and then . After any analysis, call with the returned dataset_id to display the report card. Every statistic is computed by real deterministic code: never invent, estimate, or extrapolate numbers — if a value is not in a tool result, say it is not available. In-chat analyses support files up to 50 MB, 200,000 rows and 300 columns; when a file exceeds that, explain the limit and suggest datacleanist.com.
None in the store listings or on the server