#1 Credit Card Research † #1 Credit Card Redemption †

Credit card research for deal saviors

AI-powered credit card research and award redemption. Live data via Brave Search, PointsYeah flight and hotel search — every command outputs clean JSON, built for humans and AI agents alike.

Get Started See the CLI

Install CLI

$ pip install fleece-cli
v0.4.0 Python 3.11+ MIT

BRAVE_API_KEY is optional — mcc, flights, and hotels work fully offline. Live research commands require it. Requires Python 3.11+.

Chatbot

Conversational AI assistant for credit card research. Maintains entity memory across turns, supports multiple OpenAI models, and downloads full conversation history.

Learn More

CLI Research

Nine commands backed by live Brave Search data. Full card reports, wallet analysis, transfer partners, ROI estimates, and more — with JSON output for AI agents.

pip install

Redemption

Look up any merchant category code to find your best card at checkout. Generate PointsYeah search URLs for award flights and hotels. No API key needed for either — works fully offline.

See commands
13
CLI commands
981
MCC codes bundled
0
keys for offline commands
MIT
open source

Real workflows

What you can do with Fleece

End-to-end examples — from a question to a decision.

At the checkout

Which card earns most at AMC Theatres?

$ fleece mcc 7832
→ Motion Picture Theaters
$ fleece mcc 7832 --wallet
→ Best card: Capital One Savor (3x)
Card research

Is the Amex Gold worth it for a $600/mo dining spender?

$ fleece profile set dining_monthly 600
$ fleece roi "Amex Gold"
→ First-year value: ~$1,340
Wallet gaps

What's missing from my Amex Gold + CSP wallet?

$ fleece wallet
→ Gap: gas (1x), entertainment (1x)
$ fleece mcc 5541 --wallet
→ Add: Citi Custom Cash (5x gas)
Redemption

Find business class flights from JFK to Tokyo.

$ fleece partners "Amex Gold"
→ ANA, JAL, Singapore Airlines
$ fleece flights JFK NRT \
  --date 2026-06-01 --cabin business --open

About Fleece

Fleece is a free, open-source credit card research tool built for people who take rewards seriously. Unlike chatbots that rely on stale training data, Fleece pulls live information from the web on every query — so you always get current fees, earning rates, and benefit details.

The CLI is designed to work seamlessly with AI agents: every command supports --json output and reads from stdin. Install it in Claude Code, OpenClaw, or Codex with a single command — or run it from your terminal.

View on GitHub Open an issue

Agent Integration

Works with your AI agent

Install once and every supported agent gains access to all 12 Fleece commands — research, wallet analysis, MCC lookup, and award redemption.

Claude Code

Install 13 slash commands directly into your Claude Code session. Use /fleece-wallet, /fleece-profile, /fleece-mcc, and more without leaving the terminal.

$ bash install.sh --claude
/fleece-card  /fleece-wallet  /fleece-profile
/fleece-mcc  /fleece-flights  +8 more

OpenClaw & Codex

Install the agent skill to give OpenClaw or Codex full Fleece capability — card research, wallet gaps, MCC lookup, and redemption, all in one skill.

$ bash install.sh --agents
.agents/skills/fleece/SKILL.md
or: clawhub install fleece

ClawHub Registry

Fleece is published on ClawHub. Any agent that supports the ClawHub registry can install and use it with a single command — no git clone required.

$ clawhub install fleece
fleece@1.4.0  ·  MIT-0
clawhub search "credit card research"

Links

Install

PyPI — fleece-cli GitHub — chenyuan99/fleece

Skills

Claude Code slash commands ClawHub agent skill

Contact

Open an issue on GitHub

CLI Commands

All commands support --json output. Highlighted commands require no API key.

fleece cardFull card report — fees, welcome offer, rates, credits, benefits
fleece ratesEarning rates by spend category
fleece partnersTransfer partners, ratios, and timing
fleece creditsStatement credits and perks
fleece newsRecent changes in the past month
fleece compareSide-by-side card comparison
fleece walletPortfolio analysis — coverage, overlaps, gaps
fleece roiFirst-year ROI estimate by spend profile
fleece recommendCard recommendations for a spending profile
fleece mccLook up a merchant category code — find your best card at checkout
fleece flightsPointsYeah award flight search URL — no API key needed
fleece hotelsPointsYeah award hotel search URL — no API key needed
fleece profileManage spending profile — auto-enriches wallet, roi, and recommend

† Ranked #1 for "credit card research" and "credit card redemption" on the ClawHub AI agent skill registry (vector search, May 2026). Rankings reflect the Fleece agent skill (fleece@1.5.0) and may change as the registry grows.  ·  The yellow and black color theme is used in honor of Spirit Airlines, whose ultra-low-cost spirit inspired this project.