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Detect FUD before
it liquidates you.

FUD.ai is an agentic layer that separates organic fear from manipulation. It fuses on-chain evidence with an MCTS-inspired loop to deliver an executable verdict.

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Pay-per-call via USDCAgent-to-agent native

Why general AI doesn't work in crypto sentiment

CHATGPT, GEMINI, CLAUDE

General AI runs on stale data.

By the time a general LLM analyzes yesterday's news, whales have already dumped on retail. With zero real-time access to smart contracts or wallet flows, you are literally trading on ancient history.

LUNARCRUSH, SANTIMENT, SOCIAL TOOLS

Sentiment trackers are easily played.

Counting a million bot tweets isn't 'sentiment analysis' — it's measuring a Sybil attack. They blindly aggregate social scores without cross-validating on-chain money flow. If the bots cheer, these tools tell you to buy the dump.

FUD.ai closes every gap above — on-chain grounding, explicit coordination detection, multi-branch reasoning, and a reflexion loop that learns from past misses.

Four pillars. One verdict.

*01/ 04

Multidimensional Ingestion

FUD.ai ingests three signal planes at once: real-time on-chain contract states, social chatter volume, and contextual market cues. No single source is trusted alone — every verdict is cross-validated across planes so a coordinated tweet storm can't override what the actual money flow dictates.

*02/ 04

Coordination & Sybil Detection

The core differentiator. FUD.ai computes explicit coordination metrics — unique author ratios, near-duplicate text clustering, and cross-platform burst windows — to tell you whether the fear is organic or manufactured. A panic with a tight 4-minute burst window and massive duplicate texts is an attack, not a trend.

*03/ 04

MCTS-Inspired Reasoning

Instead of one linear conclusion, the engine branches into three parallel scenarios: Real Crash, False FUD, and Whale Manipulation. It scores each branch against the evidence. The dominant branch wins, but the full probability distribution is exposed so downstream agents can hedge accurately.

*04/ 04

Reflexion Loop

Every verdict is recorded. When a past prediction turns out wrong, the reflexion loop extracts what the evidence chain missed and recalibrates confidence for similar future cases. This means FUD.ai gets sharper the more it runs — it doesn't repeat the same misread twice.

Live demo

See FUD.ai think.

Enter a coin symbol. Watch the pipeline run. Get an executable verdict backed by on-chain evidence and coordination signals.

2 / 2 demo calls left this week

Head to head

FUD.ai vs everyone else

Six criteria that determine whether a sentiment tool can actually protect you from getting rekt.

Focus

General AI
General-purpose AI. Crypto sentiment is one of thousands of topics. No specialization in FUD detection or market manipulation.
Aggregator
Aggregates raw social sentiment scores. No distinction between organic fear and manufactured FUD.
FUD.ai
Built exclusively for crypto sentiment analysis — detects FUD, whale manipulation, and coordinated attacks using multi-branch reasoning.

Cost per analysis

General AI
~$0.10–$0.30 per query via API, plus latency from general-purpose models.
Aggregator
Subscription tiers from $24 to $240+ per month depending on limits, regardless of usage volume.
FUD.ai
$0.02 per query. Flat rate via CROO Agent Store. Pay only when you query, not for idle months.

Coordination & Sybil Detection

General AI
Not publicly documented. General LLMs have no out-of-the-box mechanism to detect coordinated bot waves.
Aggregator
Not publicly documented. Social scores are susceptible to undetected bot inflation.
FUD.ai
Explicit detection — measures unique author ratio, near-duplicate text clustering, and cross-platform burst windows to flag coordinated attacks.

On-chain Cross-validation

General AI
No on-chain access whatsoever. Analysis is based on training data, not live market state.
Aggregator
Limited. Social scores are not validated against actual on-chain money flows.
FUD.ai
Sentiment is cross-validated against real-time on-chain state — divergence between social volume and market signals is explicitly flagged, not silently ignored.

Self-correction

General AI
No memory between queries. Makes the same analytical errors repeatedly.
Aggregator
No learning mechanism. Score methodologies are static.
FUD.ai
Reflexion Loop — records each verdict and recalibrates confidence for similar future cases when past predictions are wrong. Gets sharper over time.

Agent-to-agent access

General AI
Not native. Requires manual API integration per use case.
Aggregator
Not native.
FUD.ai
Native — directly callable by other bots and AI agents via CROO Network, with on-chain settlement per use.

Pricing

Pay per call. Not per month.

FUD.ai isn't a subscription. Every analysis is a single on-chain micropayment of just $0.02 in USDC, settled through the CROO CAP protocol. Any agent can hire FUD.ai as a dependency — no contract, no minimums.

01

Flat Rate

Your agent finds FUD.ai on the CROO Agent Store and instantly accepts the flat $0.02 per-call price.

02

Pay

USDC is escrowed on Base. Settlement only fires when a valid verdict is delivered.

03

Deliver

FUD.ai returns the 8-field verdict JSON. Your agent acts — hedge, accumulate, or ignore.

Hire on CROO Agent Store

Callable by any agent · settlement on Base · USDC