Analysis Pipeline

The Raphael Sentinel analysis pipeline is a structured, high-performance process that converts raw Solana blockchain data into real-time intelligence. It operates through a sequence of deterministic stages, with branching into dedicated SPL and bonding-curve engines depending on the token’s origin.

Below is the complete pipeline in clean, simple numeric order.

1. Input Validation & Pre-Processing

The system verifies that the submitted address:

is a valid Solana mint account
exists on-chain
is not malformed
does not violate rate limits (tier-based)
is not cached within the last TTL window

If a fresh analysis is needed, the pipeline continues to step 2.

2. Token Type Detection

Sentinel determines whether the token is:

SPL Standard (DEX-launched)
Bonding Curve (Pump.fun / LetsBonk / similar)

Detection is based on early transaction signatures:

if early interactions contain bonding curve program → Bonding Curve Token
else → SPL Standard Token

This decision defines which pipeline model is used.

3. Data Ingestion

The system collects all relevant raw data:

Helius enhanced transactions
Solana RPC mint + account data
Birdeye market and liquidity data
DEX price feeds
internal wallet intelligence

Data ingested includes:

authority configuration
LP formation (if SPL)
buyer/seller sequences
funding paths
wallet activity
transaction flow
price/volume/momentum profile

All data is normalized for analysis.

4. Pipeline Branching (SPL vs Bonding Curve)

Based on detection:

SPL tokens → SPL Risk Pipeline
Bonding curve tokens → Behavioral Pipeline

Each branch uses a fundamentally different model because the threat surfaces differ.

5. SPL Analysis Pipeline

For tokens launched directly on DEXs.

Focus areas:

LP structure, lock state, provider distribution
mint/freeze/update authority safety
holder distribution and whale concentration
wash-trading loops and fake volume
bot-driven trading patterns
wallet reputation scoring

Outputs:

LP Stability Index
Authority Safety Score
Holder Integrity Score
Market Integrity Score
Full SPL Risk Score (0–100) with reasoning

6. Bonding Curve Analysis Pipeline (Pump.fun & Similar)

For tokens launched via bonding curves, where the contract is safe but people are the risk.

Focus areas:

early buyer funding graph
dev cluster detection
pre-funded swarm wallets
synchronized entries
exit momentum and asymmetry
historical dev behavior

Outputs:

Dev Cluster Map
Swarm Wallet Indicators
Exit Pattern Classification
Retail vs Dev Asymmetry
Full Bonding Curve Risk Score (0–100) with reasoning

7. Risk Engine

After pipeline processing, all signals feed into the deterministic risk engine.

The engine has two independent scoring models:

SPL Weight Model:

LP stability
authority safety
holder distribution
wash trading / bots
market integrity
wallet quality

Bonding Curve Weight Model:

dev cluster dominance
swarm wallet probability
exit pressure
historical dev risk

Output:

final risk score
risk level (low → extreme)
confidence level
red flags with explanations

8. Response Construction

Sentinel compiles a complete intelligence package containing:

token overview
risk score + breakdown
reasoning + red flags
cluster maps
wallet reputation signals
LP view (SPL only)
exit indicators (bonding curve only)

PRO users get:

real-time updates
interactive cluster graphs
exit timeline
downloadable JSON/PDF reports

9. Continuous Intelligence

After analysis, Sentinel updates long-term intelligence:

dev reputation profiles
wallet behavioral patterns
swarm fingerprints
cross-token correlations
risk model reinforcement

The system becomes smarter with every token analyzed.