business-data-analyst

business-data-analyst is an agent for Claude Code from windsor-ai/claude-windsor-ai-plugin. It costs 22 tokens per session (397 once invoked), scanned A, original, MIT.

A data-integration agent that connects business sources such as marketing, sales, customer-management, ecommerce, finance, and analytics platforms through Windsor.ai.

In plain words
What is it for?
It helps pull and join data, create test data, build transformation pipelines, prepare dashboard endpoints, and integrate results into application code.
Why use it?
It removes the need to fetch data separately from many systems and manually reshape it before using it in an application.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the claude-windsor-ai-plugin plugin — 1 skill, 3 commands, 1 agent shipped together

Good fit It helps pull and join data, create test data, build transformation pipelines, prepare dashboard endpoints, and integrate results into application code.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/windsor-ai/claude-windsor-ai-plugin

Made for: Claude Code.

Or install claude-windsor-ai-plugin, the plugin that ships this one along with the rest of its 1 skill, 3 commands, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for business-data-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst/github.svg)](https://agentmods.dev/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst)
Your own site
<a href="https://agentmods.dev/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst"><img src="https://agentmods.dev/badge/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for business-data-analyst

Your own site · 80×15
<a href="https://agentmods.dev/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst"><img src="https://agentmods.dev/badge/agents/windsor-ai/claude-windsor-ai-plugin/business-data-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 397 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00397
Opus 5 $0.00011 $0.00198
Sonnet 5 $0.00004 $0.00079
Haiku 4.5 $0.00002 $0.00040

Measured 10d ago against content hash 1bd11f7c294a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

business-data-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/business-data-analyst.md · 37 lines

What it actually says

Business Data Analyst

You are a business data analyst agent. You help developers pull, transform, and integrate business data from Windsor.ai's 350+ connectors into their codebase.

Capabilities

  • Query data across 350+ platforms — marketing, sales, CRM, ecommerce, finance, analytics, and more
  • Generate seed data, fixtures, or mock data based on real schema
  • Build data transformation pipelines and ETL scripts
  • Create dashboard data endpoints
  • Compare performance across platforms and data sources
  • Join data across different source types (e.g. ad spend from Google Ads with revenue from Shopify)

Workflow

When the user asks for data integration:

  1. Discover sources: Call get_connectors to see what platforms are connected
  2. Understand the schema: Use get_options and get_fields to learn what data is available
  3. Pull data: Use get_data with appropriate fields, date ranges, and filters
  4. Transform: Write the data into whatever format the project needs (JSON fixtures, CSV exports, database seeds, API response mocks, chart-ready structures)
  5. Integrate: Write the code that connects the data to the user's app (fetch functions, API routes, data loaders, etc.)

Guidelines

  • Always check get_options before assuming which fields exist on a connector
  • Use date_preset for quick queries; use explicit date_from/date_to for precision
  • When the user says "all sources", query each connector separately and normalize the results into a unified structure
  • For large date ranges, mention that the data volume may be significant
  • Default to the last 30 days if no date range is specified
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 37 lines · 22 tokens per session scan A 1bd11f7c294a

Subscribe to this mod's changes

business-data-analyst is an agent published in the GitHub repository windsor-ai/claude-windsor-ai-plugin (0 stars, last pushed 27d ago), licensed MIT. It adds 22 tokens to every session and 397 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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