VGPT Use Cases
Vector AI offers advanced tooling for evaluating token legitimacy, automating due diligence, and surfacing on-chain intelligence through natural language and AI reasoning via VGPT.
š§ Multi-Pipeline Token Scanning
Automatically evaluate the credibility of new tokens by scanning Twitter, Telegram, and other off-chain platforms as well as token security, holder information and honeypot checks.
Ask VGPT About a Scan
Want deeper insights? Once a token is scanned, you can ask VGPT follow-up questions like:
"Is this team linked to any past scams?"
"Summarize the project based on their docs and site."
"Does the Twitter match the contract?"
"Whatās suspicious about this token?"
"Rate this projectās legitimacy from 1ā10."
š§ VGPT connects the dots across contract code, websites, socials, and documentation ā giving you human-like reasoning in seconds.
š Deep Link Ecosystem Analysis
Extract and verify all links from token websites, documentation, and social profiles. Detect inconsistencies, reused templates, and mismatched identities that signal scams or impersonators. VGPT cross-references team bios, project claims, and social engagement to flag red flags or verify authenticity.
š§¬ Cross-Signal Token Scoring
Assign scores to tokens using:
On-chain metrics
Off-chain APIs
WHOIS domain records
Website content
Social signals
š Documentation & Site Intelligence
Scrape and summarize:
Project websites
GitBooks
Technical documentation
Determine originality, effort, and consistency across platforms to help identify low-effort forks and clones.
š Automated Contract Matching
Match smart contracts to all linked project assets. Verify if contracts are mentioned on official sites, socials, and vice versa ā identifying fake or unlinked tokens.
ā” Real-Time Onboarding Surveillance
Monitor new deployments on-chain and immediately trigger a full validation sweep. Validate ecosystem connections, original development efforts, and social presence in seconds ā before anyone else.
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