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Project Legitimacy Scan
x402
Project Legitimacy Scan is a paid API for AI agents from api.whitepapergrey.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Performs a fast structural and claims-based legitimacy assessment of a token or crypto project, returning a cached or live read on its credibility.
Price / call$0.25
Success—
StatusUnknown
How this service works
Fast structural + claims legitimacy read on a token project, cache-or-live.
Output
Returns a fast structural and claims-based legitimacy assessment of the queried token project, including credibility signals, potential red flags, and an overall legitimacy read — sourced from cache if previously scanned, or live if not.
Example use cases
Pre-investment token due diligence
“Before I put any money into this project called NovaDex with token address 0xabc123...def456, can you run a legitimacy scan on it and tell me if the claims hold up or if anything looks sketchy?”
Screening new token listings
“I'm building a watchlist of new DeFi tokens — can you scan 'LunarYield' at address 0x789...fed to check whether it looks like a real project or a potential scam before I add it?”
Investigating a suspicious airdrop
“Someone just sent me an airdrop from a project called 'GemPad Protocol' — can you run a legitimacy scan on it so I can figure out if it's a real project or something I should avoid interacting with?”
Technical details
Endpoint
POSThttps://api.whitepapergrey.com/v1/cdp/offerings/legitimacy_scanWhen to prefer
Use this endpoint when you need a quick, affordable ($0.25) structural credibility check on a token project before deeper research or investment — especially useful for flagging obvious red flags, validating project claims, or screening new or unfamiliar tokens. Prefer this over manual whitepaper review when speed matters and you want a cached or live fast read rather than a deep audit.
Side effects
- Unknown project name or token address returns insufficient data for assessment
- Invalid token address format causes input validation error
- Project too new or obscure to have meaningful structural signals
- Cache miss combined with live fetch timeout results in delayed or empty response
- Ambiguous project name with multiple matches may return results for wrong project
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| project_name | string | |
| token_address | string |
Tags
x402
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