data-quality vs Dot (getdot.ai): AI Data Analyst
data-quality is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
data-quality is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. Dot (getdot.ai): AI Data Analyst is an MCP server published by zurferr. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-25. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |   Dot (getdot.ai): AI Data Analyst | |
|---|---|---|
| Community marketplace barnburner121/claude-plugin-marketplace | Removed on 2026-10-18 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 3 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.0.2 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | data-qualityno longer listed · | Dot (getdot.ai): AI Data Analyst |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 3 | 0 |
| Forks (GitHub) | 0 | 0 |
| Last release (differs) | Not published | 2026-10-17 |
| Where it runs (differs) | On your machine (@barnburner121/plugin-hub-mcp) | Remote server (app.getdot.ai/ai/mcp) |
| Transport (differs) | Not stated | Streamable HTTP |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 2 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/barnburner121/claude-plugin-marketplace | github.com/snowboard-software/getdot |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-14 | 2026-10-11 |
| Endpoint at the last check (differs) | no remote endpoint we check | Responded 3 days ago |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of data-quality
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Add checks and metrics to dlt pipelines — inspect schema for candidates, define column-level validations and load metrics, run them on every pipeline load, and review results with…
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DQX by Databricks Labs — AI assistant skills for defining, applying, storing, and profiling data quality rules in PySpark.
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Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR…
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Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs
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Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs
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Data validation and quality assurance tools using Pydantic v2, schema validation, data contracts, and quality monitoring for PlanetScale PostgreSQL databases
What each says it does
data-quality
Generate data quality checks and monitoring
Dot (getdot.ai): AI Data Analyst
AI data analyst by getdot.ai. Ask your data warehouse in plain English; get SQL, answers and charts.
How to run each
data-quality
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Dot (getdot.ai): AI Data Analyst As a remote MCP server
claude mcp add --transport http dot https://app.getdot.ai/ai/mcp --header "X-API-KEY: <YOUR_X_API_KEY>"Requires: X-API-KEY header
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only Dot (getdot.ai): AI Data Analyst has a remote endpoint we check. How we check endpoints
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: data-quality · What it can do: Dot (getdot.ai): AI Data Analyst · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.