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CryptoRank Integration Plan

πŸ’Ž Overview​

CryptoRank is a key source for fundraising data ("Who gave the money and how much?"). It covers a gap in our current model by providing historical financial context.

πŸ“Š Integrations (The "Harvesters")​

Financials Pillar Update​

  • Source: CryptoRank
  • Data Points: Fundraising history, Backers analysis.
  • Value: Calculating real Burn Rate by comparing Total Raised (CryptoRank) vs Current Balance (DefiLlama).

Trust Score Impacts​

Team Credibility​

  • Backer Quality: Investment from Tier-1 VCs (a16z, Sequoia) = +20 pts.
  • Verification: "Social Proof" that the team was vetted by professionals.

Tokenomics Risk​

  • Dump Pressure: Analysis of Vesting Schedules and upcoming unlocks.

πŸ› οΈ Technical Implementation Strategy​

1. Database Updates​

Need to store multiple funding rounds per project.

-- Funding Rounds Table
CREATE TABLE crypto_funding_rounds (
    id SERIAL PRIMARY KEY,
    project_id INTEGER REFERENCES crypto_projects(id),
    round_type VARCHAR(50),   -- 'Seed', 'Series A', 'IDO'
    date DATE,
    amount_raised DECIMAL,    -- Amount in USD
    valuation DECIMAL,        -- Valuation at round
    investors JSONB,          -- List: ["a16z", "Polychain"]
    roi DECIMAL               -- Current ROI
);

-- Project Table Updates
ALTER TABLE crypto_projects 
ADD COLUMN total_raised DECIMAL, 
ADD COLUMN backer_tier_score INT; -- 0-100 Score

2. Harvester Logic (cryptorank_spider.py)​

Since API is paid/expensive, we may start with a scraper approach for MVP.

Algorithm:

  1. Navigate to https://cryptorank.io/ico/{slug}
  2. Parse "Funding Rounds" block
  3. Parse "Investors / Backers" block
  4. Calculate backer_tier_score based on Tier-1 VC list match.