Agentic AI for Crypto & Web3 Market Intelligence
ARGUS7 Alpha is a research and development project on the application of agentic artificial intelligence to crypto and Web3 markets.
Born in June 2026 as a personal experimentation effort, it evolved through revisions of the analysis logic, asset selection and risk management, towards the design of a structured system for market and blockchain data.
ARGUS7 Alpha is distinct from the investigative platform ARGUS7.
01
The project
The project is not yet complete: the current phase includes the reconstruction and expansion of the architecture, the strengthening of the controls, improved checks and the traceability of decisions.
The research aims to define a verifiable process for the analysis of digital assets: data acquisition, asset identification, risk evaluation and the traceability of decisions.
Its origin is experimental: a personal automation effort started in June 2026, evolved through successive revisions of the analysis logic and risk management.
The ongoing evolution turns these foundations into a structured agentic platform, with an architecture under reconstruction and expansion, reinforced controls and improved checks.
02
Beyond price. Towards verifiable decisions.
Token analysis requires checks that go beyond quote movements: token identification, contract verification, liquidity conditions, security and the quality of the information.
In high-volatility markets an incomplete or unverified piece of data can distort the entire assessment of an asset: token identity, blockchain, contract and volumes must be analysed in a coordinated way.
ARGUS7 Alpha studies a process in which AI contributes to the selection and interpretation of data, while deterministic components are planned for checks, calculations and record-keeping.
03
A structured process, from discovery to evidence.
Market Discovery
Identification of candidate assets.
Identity Resolution
Identification of blockchain, contract and pair.
Security Verification
Acquisition and evaluation of risk signals.
Agentic Evaluation
Coordinated analysis of the candidates.
Quote Validation
Verification of quotes and costs.
Controlled Action
Application of the rules defined in the authorised context.
Monitoring
Observation of how the session evolves.
Exit Validation
Verification of exit conditions.
Evidence Ledger
Recording of evidence and decisions.
04
Integration of data, security and blockchain analysis.
Ecosystems covered by the research
Solana
Base
Integrations documented in the project baseline
DexScreener
Market data and pair identification.
GoPlus
Acquisition of security signals.
Jupiter
BUY/SELL quote path on Solana.
Other integrations and components remain under validation.
Not all connectors are operational: access to a quote does not demonstrate that a transaction was executed.
05
From the initial experiment to the agentic platform.
ARGUS7 Alpha began in June 2026 as a personal experimentation effort applying automation to crypto market analysis.
The initial work progressively evolved through strategy revisions, changes to the selection criteria, increases in experimental allocations and analysis of the recorded results.
Subsequent checks highlighted the need to improve data integrity, balance reconciliation and the separation between AI-produced assessments and calculations performed by verifiable components.
This experience steered the design towards an Evidence-First approach, with greater attention to source quality, traceability and control of decision processes.
June 2026
Start of the experimentation.
June–August
Progressive evolution of the strategies.
August–September
Changes to the allocations and the rules.
September
Critical review of the historical data.
Current phase
Reconstruction, strengthening of the controls and development of the architecture.
Work milestones of the project: no certified financial results are attributed to these milestones.
06 · Historical record
Experimental path — June/September 2026
Period covered by the main record: 25 June – 22 September 2026.
Stated initial capital
€ 100
Final balance reported
€ 2,186.16
Reported arithmetic change
+ € 2,086.16
Reported percentage change
+ 2,086.16%
Methodological note
These values come from the historical records of the project. According to the founder’s reconstruction, the activity was started with real capital and the subsequent allocations were increased through the results obtained. The documentary analyses available nevertheless show discrepancies in the reconciliation of the balances and in the provenance of some records. The independent validation of the economic results is not yet complete. The amounts are therefore published as declared historical values, not as certified returns or indications of future performance.
07
Technical status
Documented in the baseline
Data acquisition paths, asset identification and some checks and quotes.
Under validation
Advanced security controls, additional integrations, simulations anchored to live data and qualification of the operating conditions.
Designed
Complete agentic orchestration, monitoring, exit validation and the evidence ledger.
Not yet attested as operational
A complete commercial platform, end-to-end financial automation and the management of third-party funds.
08
Towards a more robust, controllable and verifiable platform.
Strengthening of the sources.
Controls on the tokens.
Integration of the data.
Separation between AI reasoning and deterministic calculations.
Reconciliation of the evidence.
Validation of the entry and exit conditions.
Completion of the monitoring systems.
The work is in progress: no unconfirmed release dates are published.
09
From experimentation to the design of verifiable agentic systems.
ARGUS7 Alpha represents an applied research path combining artificial intelligence, blockchain analysis, integration of external services and the design of controlled workflows.
The project continues to evolve through the critical analysis of the evidence, the revision of the experimental components and the development of a more complete architecture.
