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ClearCheck Crypto Pitch Promo Audit
x402
ClearCheck Crypto Pitch Promo Audit is a paid API for AI agents from loonie-toll.onrender.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-30).
Analyzes a crypto or trading pitch for promotional red-flag patterns historically associated with failed or fraudulent projects, returning a list of flags.
Price / call$0.02
Success—
StatusUnknown
How this service works
Audit a crypto or trading pitch for the promo patterns that repeat across projects that ended badly. Text in, flags out.
Output
A set of flags identifying which known promotional red-flag patterns appear in the submitted text, drawn from patterns observed across crypto and trading projects that failed or were fraudulent. The response indicates which manipulative or deceptive claims were detected.
Example use cases
Screening a Telegram token launch
“Someone just dropped this in my crypto Telegram group: 'New BSC gem launching in 2 hours, 1000x potential, whale wallets already loading, dev burned LP, this is the one.' Can you audit it for the typical scam promo patterns?”
Vetting a DeFi whitepaper excerpt
“I'm looking at this DeFi project whitepaper section before I put any money in — can you check it for the promotional red flags that keep showing up in projects that collapsed? Here's the relevant part: 'Our revolutionary protocol guarantees 400% APY, zero risk, audited by our internal team, token supply is deflationary and designed to only go up.'”
Evaluating a crypto influencer pitch
“A crypto influencer just posted this and tagged it as not financial advice — can you audit it for manipulative promo patterns? 'This altcoin is about to 50x, I've seen the roadmap, the team is elite, get in now before the big announcement or you'll regret it forever.'”
Technical details
Endpoint
GEThttps://loonie-toll.onrender.com/promo-claims-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, pattern-based audit of a specific crypto or trading pitch text for promotional manipulation signals — especially when a user wants to know if a pitch matches the language patterns of historically failed or fraudulent projects. Prefer this over generic sentiment analysis when the specific domain is crypto/trading fraud detection and you need structured flags rather than a sentiment score.
Side effects
- Text exceeds 6000 character limit — input truncation or rejection
- Vague or very short input may produce no flags even if the pitch is suspicious
- False negatives for novel scam patterns not yet in the pattern library
- Non-English text may not be analyzed accurately
- Legitimate enthusiasm in a real project may trigger some flags (false positives)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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