> For the complete documentation index, see [llms.txt](https://docs.wagmi.ceo/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wagmi.ceo/2.-infofi-stack.md).

# 2. InfoFI Stack

The InfoFI Stack is the modular infrastructure powering WAGMI’s next-gen incentive engine. It transforms fragmented data from wallets, social platforms, and behavior signals into actionable scores, personalized tasks, and programmable rewards.

At its core, InfoFI is a reputation + distribution layer — a way to align incentives and engagement across ecosystems through transparent scoring, referral dynamics, and intelligent airdrop allocation.

**2.1 Architecture Overview**

InfoFI is composed of four core modules:

* Scoring Engine: Aggregates wallet activity, social presence, and behavioral data to generate a dynamic user score.
* Referral & Propagation Logic: Rewards users for onboarding others; points propagate based on invitee actions.
* Campaign Orchestration: Enables partners to deploy reward pools tied to task performance, audience segmentation, or influencer referral trees.
* AI Insight Layer *(coming soon)*: Personalized recommendations and campaign optimization via an on-chain-aware AI agent.

All modules are composable, on-chain-compatible, and designed to integrate easily with both partner dApps and external communities.

**2.2 Scoring Engine**

The scoring engine is the heart of InfoFI — it creates a multidimensional profile for each user based on:

* Wallet history: Age, holdings, trading activity, DeFi/NFT interactions
* Social signals: Twitter follower count, engagement, who follows them, tweet velocity, account age
* Behavioral activity: Task completions, referral conversions, quest consistency

The score is refreshed in real time and directly affects:

* Airdrop allocation
* Campaign priority
* Visibility on the leaderboard

This makes the score a public, gamified asset and a key motivation for engagement.

**2.3 Referral Layer**

InfoFI introduces scalable referral mechanics that reward users based on both breadth and quality of invites.

Key dynamics:

* Users receive a percentage of points earned by their invitees
* Influencers with high-performing referrals get boosted scores and potential token bonuses
* Bot-resistant propagation logic avoids circular or fake signups

This turns virality into a programmable system — with top referrers becoming nodes of distribution.

**2.4 Campaign & Partner Layer**

Projects, influencers, or ecosystems can plug into InfoFI via a campaign layer, enabling them to:

* Launch reward pools with custom tasks (e.g., subscribe, post, follow, create content)
* Airdrop $INFOFI or partner tokens based on participant score/performance
* Gain real-time analytics on reach, conversions, and sentiment

Partners can also opt into shared campaigns to co-incentivize behavior across multiple projects.

Every campaign has:

* A dedicated pool page with leaderboard and user stats
* A performance multiplier based on task difficulty or virality
* An optional NFT or badge that proves participation

**2.5 AI Insight Layer (Coming Soon)**

InfoFI will soon integrate an AI agent that acts like Perplexity for Web3:

* Synthesizes social + on-chain data into relevant narratives
* Analyzes smart wallets and trading behavior
* Provides tailored campaign recommendations
* Flags opportunities based on your wallet profile

Built natively for Solana, this agent becomes your personal strategist — helping users understand where to act and why.

**2.6 Telegram-Native Distribution**

In parallel to on-chain activations, InfoFI is fully Telegram-native through WAGMI MARKET:

* Sticker trading
* In-channel tasks
* Creator-to-community airdrop flows
* Referral tracking via usernames

This ensures distribution reaches the crypto-native user where they already are — not where they’re forced to go.