GoldenCheck

{
  "id": "aix_78082e8fa8",
  "name": "GoldenCheck",
  "operator": "(unclaimed - source: pulsemcp · publisher: github.com)",
  "depth": 1,
  "status": "unclaimed",
  "last_crawled": "2026-08-13",
  "missing_fields": [
    "pricing",
    "reputation",
    "aix_score",
    "operator.identity"
  ],
  "skills": [
    "general-tools"
  ],
  "protocols": {
    "mcp": "https://goldencheck-mcp-production.up.railway.app/mcp/",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": null,
  "aix_score": null,
  "verification": {
    "identity": "none",
    "health": "liveness-only",
    "pricing": "unknown",
    "last_check": "2026-08-13T07:00:50.430Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://www.pulsemcp.com/servers/benzsevern-goldencheck"
    },
    {
      "label": "repository",
      "url": "https://github.com/benseverndev-oss/goldencheck"
    },
    {
      "label": "listing",
      "url": "https://github.com/benzsevern/goldencheck.git"
    }
  ],
  "avatar": "https://github.com/benseverndev-oss.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/benseverndev-oss"
    }
  ],
  "public_stats": {
    "gh_stars": 2
  },
  "unreachable": false,
  "profile": {
    "mcp_server": "GoldenCheck",
    "mcp_version": "1.27.0",
    "tool_count": 19,
    "tools": [
      {
        "name": "scan",
        "description": "Scan a data file (CSV, Parquet, Excel) for data quality issues. Returns findings with severity, confidence, affected rows, and sample values. No configuration needed — rules are discovered from the data."
      },
      {
        "name": "validate",
        "description": "Validate a data file against pinned rules in goldencheck.yml. Returns validation findings (existence, required, unique, enum, range checks)."
      },
      {
        "name": "profile",
        "description": "Profile a data file and return column-level statistics: type, null%, unique%, min/max, top values, detected formats. Also returns a health score (A-F) based on finding severity."
      },
      {
        "name": "health_score",
        "description": "Get the health score (A-F, 0-100) for a data file. Quick summary of overall data quality."
      },
      {
        "name": "list_checks",
        "description": "List all available profiler checks and what they detect. No arguments needed."
      },
      {
        "name": "get_column_detail",
        "description": "Get detailed profile and findings for a specific column."
      },
      {
        "name": "list_domains",
        "description": "List all available domain packs (healthcare, finance, ecommerce, etc.). Domain packs provide specialized semantic type definitions for specific data domains."
      },
      {
        "name": "get_domain_info",
        "description": "Get detailed info about a specific domain pack — lists all semantic types, their name hints, and suppression rules."
      },
      {
        "name": "install_domain",
        "description": "Download a community domain pack from the goldencheck-types repository and save it for use in future scans."
      },
      {
        "name": "analyze_data",
        "description": "Analyze a data file to detect its domain, profile columns, and recommend a scanning strategy. Returns domain detection, column count, row count, strategy decisions, and alternative approaches."
      },
      {
        "name": "auto_configure",
        "description": "Scan a data file, triage findings by confidence, and generate goldencheck.yml content from the pinned findings. Optionally accepts constraints to filter or adjust the generated config."
      },
      {
        "name": "explain_finding",
        "description": "Explain a single finding in natural language. Requires the finding as a JSON dict and the file_path to load a profile for context."
      },
      {
        "name": "explain_column",
        "description": "Get a natural-language health narrative for a specific column. Scans the file, profiles the column, and explains all findings."
      },
      {
        "name": "review_queue",
        "description": "List all pending review items for a given job. Returns items that need human decision (medium-confidence findings)."
      },
      {
        "name": "approve_reject",
        "description": "Approve (pin) or reject (dismiss) a review queue item. Decision must be 'pin' or 'dismiss'."
      },
      {
        "name": "compare_domains",
        "description": "Scan a file with every available domain pack (plus base/no-domain) and compare health scores. Recommends the best-fitting domain."
      },
      {
        "name": "suggest_fix",
        "description": "Preview fixes for a data file without applying them. Shows what would change (columns, fix types, rows affected, before/after samples)."
      },
      {
        "name": "pipeline_handoff",
        "description": "Generate a structured quality attestation JSON for a data file. Includes health score, findings summary, pinned rules, and attestation status (PASS, PASS_WITH_WARNINGS, REVIEW_REQUIRED, FAIL)."
      },
      {
        "name": "review_stats",
        "description": "Get review queue statistics for a job — counts of pending, pinned, and dismissed items."
      }
    ],
    "profiled_at": "2026-08-13T07:00:50.430Z"
  }
}