Chainaware for Web App download

ChainAware — Wallet Security & Transaction Insights

ChainAware is a machine-learning powered wallet auditor built to improve the safety of crypto transactions. It evaluates on-chain activity and provides clear insights so users can make more confident decisions before they send funds.

Networks Supported

Binance Smart Chain (BSC)
Polygon (Matic)
Ethereum (ETH)

Core Capabilities

Comprehensive analytics and reporting that summarize wallet behavior and transaction history.
Intent scoring that predicts likely actions and flags suspicious motives.
Real-time fraud detection that spots known attack patterns and risky interactions.

How to Run an Audit

Enter a wallet address, select the blockchain network, and the system will produce a full audit. The results include interpretable metrics and a concise risk summary, and can be shared with others to support transparent decision-making.

Quick Access & Use Cases

A Chrome extension is available for instant lookups while browsing decentralized applications, making the tool useful for both individual users and organizations that need more predictable, secure transaction workflows.

Suggested Alternative

SEMrush (free tier available)

Technical

Title

Chainaware

Requirements

Web App

Language

No language has been specified.

Available languages

License

Subscription

Latest update

2024-09-19

Author

chainaware

Other Useful Business Software

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Rate This App

User Reviews

Be the first to post a review of Chainaware!

Related Software

SmartTrust

SmartTrust is a web application that strengthens security for cryptocurrency transactions by applying machine learning and pattern analysis. It lets users examine wallet addresses across multiple blockchain networks and provides a risk-oriented assessment for each address by inspecting transaction histories and surfacing suspicious behavior; it assigns a numeric Fraud Confidence Rating to help individuals and organizations reduce exposure to scams and high-risk counterparties. The platform also offers analytics and audience segmentation for insights, a browser integration for quick address checks, and tools for companies to monitor wallet-level risk as part of compliance and customer acquisition workflows. Limitations include limited on-the-go access and some workflows that require manual data entry, which can slow batch processing and automation. For broader analytics and research needs outside of its fraud-focused feature set, consider general-purpose platforms such as SEMrush.

ChainGPT

ChainGPT is an AI platform for blockchain and cryptocurrency workflows that combines smart contract assistance, risk assessment and mitigation, on-chain analytics for transaction and token activity, and AI-driven trading modules into a single, natural-language-driven interface to support research, development, and trading. Using modern machine-learning models connected to on-chain data, it produces context-aware outputs for code scaffolding and audit checks, portfolio and protocol risk analysis, transaction tracing, and automated trading signals. The service is aimed at individual traders and developers as well as teams and analysts who need faster development, clearer explainability, and reduced operational risk when working with crypto systems.

HiredScore

HiredScore is an AI-driven talent intelligence platform that modernizes talent acquisition and workforce management by combining explainable machine learning with process automation to prioritize and rank candidates, surface top talent, automate routine hiring tasks, and improve discovery and internal mobility. It produces clear, interpretable recommendations that help recruiters and hiring managers act with confidence and make more consistent, fair choices. The platform includes privacy controls, audits, and bias assessment tools to support compliance and diversity goals, and provides transparent model explanations so stakeholders understand how recommendations are generated. By streamlining workflows and aligning recruiting with broader workforce planning, it helps HR teams meet hiring goals more efficiently and ethically; Minea Subscription is offered as a suggested alternative for evaluation.

Faye

Faye is a subscription-based helpdesk for blockchain projects that pairs an adaptive AI assistant with analytics focused on smart contracts and transaction data to help teams resolve on-chain issues. It provides a unified admin interface for tickets, workflows and live messaging, supports multiple concurrent agents, automates common queries with customizable workflows, and connects with customer channels for omnichannel engagement. Using transaction-aware analysis and continual feedback-driven model improvement, Faye surfaces accurate fixes and reduces false positives when diagnosing contract- or chain-related problems. Offered under tiered subscription plans with a 14-day trial, it aims to shorten resolution time, boost customer satisfaction, and help teams scale support for decentralized products.

PyqAI

PyqAI is an AI platform that helps teams build and adapt custom models using a simple API. It provides tools for training and automating model workflows, a conversational interface for querying and extracting information from documents, and emphasizes producing interpretable models while keeping training data private. Key capabilities include private data and training safeguards, flexible model creation (train new or adapt prebuilt components), automated training pipelines, conversational document access, and straightforward API integration. The platform also offers turnkey enterprise models to address common business needs and aims for predictable performance and controlled cost; a commercial alternative to consider is MindPlexa.

VarChat

VarChat interprets human genomic variation and converts complex variant data into clear clinical and scientific information to support personalized medicine and genetic research. It generates interpretable insights from raw genomic data, highlights variants of interest and their possible phenotypic or risk associations, and presents concise, actionable findings for diagnostics and study design. Intended for researchers, medical geneticists, and healthcare teams who need rapid, evidence-focused summaries, VarChat synthesizes published evidence and known clinical associations to produce concise reports that help prioritize variants, explore gene–trait relationships, reduce manual review time, and accelerate interpretation workflows for clinical and research use.

Greip

Greip is a fraud-mitigation platform that uses machine learning to inspect transactions in real time, assign risk scores, and enable automated decisions to accept, challenge, or block suspicious activity. It also leverages geolocation and language cues to adapt user experience and monitors for anonymous sessions, VPNs, and proxies as indicators of potential abuse. Core features include identity and data validation, country-level context, BIN/IIN checks, anonymous visitor detection, VPN/proxy monitoring, and transaction risk scoring. Subscription tiers range from a free plan to pay-as-you-go, standard, and premium options; SEMrush’s free tier is suggested as one alternative.

SimplyBudget

SimplyBudget is a money-management app that uses machine learning to simplify budgeting, track income and spending, and help plan and monitor financial goals. It provides live spending summaries and alerts, manual-entry for cash transactions, automatic transaction categorization, personalized budget templates, predictive recommendations for saving and spending, a bill organizer, and a digital wallet for loyalty cards and rewards. It also includes a debit card with instant purchase feedback and an option to defer payments interest-free for a limited time, with card activity reflected in the app in real time. For users exploring other plans, the Kickv1.0 subscription is suggested as an alternative.

Flagright

Flagright is an AI-driven compliance and fraud-detection platform for financial institutions that combines automated monitoring, investigative tools, and risk scoring to help teams detect suspicious behavior and meet AML obligations. Core capabilities include adaptive risk scoring for accounts and digital identifiers, transaction surveillance to surface anomalous activity, centralized case management for alerts and evidence, natural‑language query and AI analysis to generate investigation leads and next steps, and machine‑learning forensic analytics to reconstruct and explain suspicious patterns. The platform offers APIs, connectors to common third‑party services, and developer documentation to support integration, plus professional services such as AML program design and auditing, onboarding and regulatory application assistance, ongoing compliance reviews, and training resources. It also notes that general-purpose market-research tools may suffice for needs that do not require specialized AML functionality.

Oscilar

Oscilar is an AI-driven, no-code platform for financial services that automates risk decisioning across fraud detection, credit assessment, and regulatory compliance by centralizing decision logic and investigation workflows. It provides a visual rule and workflow editor for non-developers, adaptive machine learning that learns from a company’s own data and behavior signals, and automated orchestration to route cases and actions based on configurable policies. The platform unifies internal and external data into a centralized layer for real-time visibility and enrichment, and offers an investigation workspace that surfaces transaction details and historical context to accelerate triage. The result is faster detection and handling of suspicious activity, fewer manual processes and less engineering involvement, more accurate, data-driven decisions from adaptive scoring, and greater agility to update policies and workflows.

Schwarzthal

Schwarzthal is an AI-driven platform for detecting and preventing financial wrongdoing—including money laundering, fraud schemes, tax avoidance, carbon- and energy-related fraud—by combining network analysis, entity linking and transactional aggregation. Its core capabilities include VAT and tax-fraud monitoring, AML screening and continuous transaction surveillance, KYC/onboarding checks, predictive models for future fraud, and specialized tracking for environmental schemes. Operational tools include real-time transaction monitoring, broad media and open-source scanning, deep document inspection for evidence building, multi-factor risk scoring, network visualizations and automated workflows to support complex investigations. The platform draws on an enriched global corporate registry and other sources to build richer entity profiles and uncover hidden ownership links, enabling cross-border investigative work. Financial institutions, regulators and investigative teams use the system, and it partners with data and subject-matter specialists to expand coverage and analytics. By combining machine learning with rich visuals and automation, Schwarzthal reduces manual case work, accelerates triage and strengthens detection of sophisticated, multilayered financial crime; for some media and open-source research needs, general tools like Semrush’s free tier can be considered as an overlay.

Skwad

Skwad is a personal spending tracker that prioritizes privacy by working from transaction notices and user-provided history rather than requiring financial account credentials. It automatically parses and categorizes incoming transactions to show where money goes and lets you add older transaction history for a complete picture. Features include attaching receipts and documents to entries, a calendar view of spending, shared access for households or trusted collaborators, tracking of recurring bills and subscriptions, alerts for atypical or potentially risky charges, and export options for custom reporting. It’s aimed at people who want clear visibility into spending without granting third-party access to their bank logins.

Report inappropriate content