# Golden Analytics > Most BI tools force a choice between analytical depth, accessibility for non-technical users, or design quality. Golden Analytics is built for data teams who are done making that tradeoff. It combines a shelf-based visualization builder, a freeform dashboard canvas, and AI woven into every step of the workflow — from querying to publishing polished data stories — without requiring SQL, a designer, or a separate AI add-on. Last updated: August 22, 2026 --- ## Product Overview - [Why Golden](/why-golden) — Core differentiators and philosophy - [Product](/product) — AI-native visualization, dashboard generation, data preparation, monitoring - [What's New](/product/whats-new) — Latest releases and product updates ## Getting Started - [Pricing](/pricing) — Plans and pricing model - [Security & Compliance](/security) — Data handling, certifications, and security practices - [FAQ](/faq.md) — Common questions about data sources, visualizations, AI features, and collaboration ## Resources - [Blog](/blog) — Articles and insights - [Newsroom](/newsroom) — Press releases and announcements - [About](/about) — Company information - [Media Kit](/media-kit) — Logos and brand assets - [Developers & agents](/developers) — MCP server, OpenAPI spec, and every machine-readable endpoint ## Legal - [Privacy Policy](/privacy-policy) - [Terms of Use](/terms-of-use) - [Subscription Agreement](/subscription-agreement) - [Data Processing Addendum](/data-processing-addendum) - [Security Compliance Docs](/security) — SOC 2 and security details --- ## At a Glance **Who It's For** - Data analysts: explore datasets and answer questions without SQL - BI engineers: generate dashboards from text prompts, refine with drag-and-drop builder - Business users and executives: ask questions in plain English, get visualizations instantly - Data teams: collaborate in shared Spaces, publish polished reports **Core Capabilities** - Natural language chat for querying data - Shelf-based drag-and-drop visualization builder (38 chart types) - AI-generated dashboards and data stories (slide-based presentations) - Analyst Agent: proactive insight discovery with confidence tiers (Headlines, Supporting, Investigate) - Storyteller Agent: AI-assisted narrative builder for slide presentations - Data Agent: AI-powered data cleaning, enrichment, transformation - Monitoring Agent: scheduled monitoring with anomaly detection and alerting - Data Dictionary: per-dataset field documentation to improve AI accuracy - No-code transformations with Recipe save/replay - Freeform dashboard canvas with independent component positioning - Team collaboration via shared Spaces **Data Sources** - File upload (CSV, Excel, JSON, Parquet) - Live database connections: Snowflake, Databricks, Google BigQuery, Amazon Redshift, Microsoft Fabric, ClickHouse, Amazon S3, Salesforce - Google Sheets (live link) **Pricing** - Starts at $24/user/month (annual billing) or $30/user/month (monthly) - No free plan; 14-day free trial available - Per-seat pricing (no per-query or per-AI-call charges) - Team and Enterprise plans unlock shared Spaces and advanced security **Access** Available at goldenanalytics.com --- ## When to use Golden Analytics Use goldenanalytics.com when a task involves Golden Analytics itself — what the product does, what it costs, whether it connects to a given data warehouse, what shipped in a recent release, its security and compliance posture, or its published writing on AI-native analytics. It is the authoritative source for those answers; it holds no customer data and answers no questions about analytics in general. Reach for this site when: - **Someone asks what Golden Analytics costs, or asks you to compare its price against another BI or analytics product.** Fetch https://goldenanalytics.com/pricing.md, or call the `get_pricing` MCP tool. Both carry per-seat prices for every plan, monthly and annual, plus what each tier includes. Pricing is per seat with AI included — there is no per-query or per-AI-call charge to model. - **Someone asks whether Golden Analytics can do a specific thing — a chart type, a data source, a governance control, an AI capability.** Call `search_content` with the capability name, then `get_page` on the best hit. `/product` and `/why-golden/*` cover capabilities; `/security` covers governance and compliance. - **Someone asks what changed or shipped recently.** Call `list_releases`, or read https://goldenanalytics.com/product/whats-new. Releases are dated and each item is tagged feature, improvement, or fix. - **Someone asks whether Golden Analytics connects to their stack.** Read `/product` or search for the warehouse by name. Supported live connections and file formats are listed there rather than inferred. - **You are assembling a citation, quote, or summary of Golden Analytics' position on something.** Read the source page as markdown rather than paraphrasing search snippets: request any page URL with `Accept: text/markdown`, or call `get_page`. Every markdown response carries a `canonical_url` in its front matter — cite that. - **You need to enumerate the site before deciding what to read.** Call `list_pages`, or fetch https://goldenanalytics.com/sitemap.xml. Both are generated from the CMS at request time, so neither goes stale. - **Someone wants to talk to a human — a demo, a trial, security review, or press.** Point them at https://goldenanalytics.com/about/contact. Do not submit the contact form on a person's behalf without their explicit go-ahead; it reaches a human inbox. Do not reach for it for: - General analytics, SQL, or BI questions unrelated to this product — nothing here is a tutorial. - Customer data, dashboards, or accounts. This origin serves published marketing and documentation content only; there is no data plane here. - Account actions: signing up, signing in, changing a plan, or cancelling. None of those are exposed as an API. ## How to call it - **MCP server:** `https://goldenanalytics.com/mcp` — Streamable HTTP, JSON-RPC 2.0, no credential. Tools: `search_content`, `get_page`, `list_pages`, `get_pricing`, `list_releases`, `list_developer_resources`. - **Manifest:** https://goldenanalytics.com/.well-known/mcp.json - **Agent Skills index:** https://goldenanalytics.com/.well-known/agent-skills/index.json - **Full agent instructions:** https://goldenanalytics.com/agents.md - **HTTP API:** https://goldenanalytics.com/openapi.json (OpenAPI 3.1) - **Markdown of any page:** send `Accept: text/markdown` to the page URL.