
Strong enterprise data labeling and agentic automation, but offers a distinct collaborative interface and pricing structure.
ChainAware.ai records 0 monthly visits with — month-over-month growth and Paid pricing. SuperAnnotate records 386,034 monthly visits with +37.4% growth and Free Trial, Contact for Pricing pricing.
Predictive on-chain fraud and rug-pull detection for Web3
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | chromewebstore.google.com | superannotate.com |
| Pricing Model | Paid | Free Trial, Contact for Pricing |
| Monthly Visits | 0 (0) | 386.03K |
| MoM Traffic Delta | 0 (—) | +105.05K (+37.4%) |
|---|
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (31%) |
|---|
| Direct Visits / mo | 0 | 248.26K |
|---|
| User Rating | 3.8 | 4.6 |
|---|
| Supported Platforms | Browser Extension | Website |
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Predictive on-chain fraud and rug-pull detection for Web3
AI models flag suspicious wallet behaviour and fraud before losses occur, with vendor-reported 98% accuracy across major chains.
Analyses smart contracts and liquidity pool patterns on Ethereum and BSC to predict rug pulls in real time.
Generates trust scores and risk profiles covering experience, risk tolerance, and predicted future behaviour for wallets.
Runs 24/7 wallet surveillance with OFAC sanctions screening and KYT checks for AML and MiCA compliance.

AI data infrastructure for building production-grade models
One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.

Strong enterprise data labeling and agentic automation, but offers a distinct collaborative interface and pricing structure.

SpecialistExtensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility.


SpecialistExceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.

Excellent multimodal data infrastructure for computer vision, but lacks some of SuperAnnotate's broader enterprise project management tools.
SpecialistStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.

Free / Open-sourcePowerful open-source data labeling with deep customization, but requires self-hosting and lacks out-of-the-box managed enterprise workflows.


Free / Open-sourceSuperior visual dataset search and curation for computer vision, but less focused on manual text and multimodal annotation.
Free / Open-sourceInstitution-grade crypto and equities intelligence, delivered through a chat-style AI analyst.

Free / Open-sourceBlockchain AI suite for crypto research, smart contracts, and Web3 automation

Free / Open-sourceCrypto arbitrage screeners, wallet analytics and AI on-chain research in one subscription

Provides efficient training data annotation and managed services, but has a smaller ecosystem than SuperAnnotate.

SpecialistComprehensive MLOps and GPU cluster management, but lacks dedicated multimodal annotation and dataset curation UI tools.
Strong enterprise data labeling and agentic automation, but offers a distinct collaborative interface and pricing structure.
SpecialistExceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
Excellent multimodal data infrastructure for computer vision, but lacks some of SuperAnnotate's broader enterprise project management tools.
SpecialistStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.
Free / Open-sourcePowerful open-source data labeling with deep customization, but requires self-hosting and lacks out-of-the-box managed enterprise workflows.
Free / Open-sourceSuperior visual dataset search and curation for computer vision, but less focused on manual text and multimodal annotation.
Free / Open-sourceCrypto arbitrage screeners, wallet analytics and AI on-chain research in one subscription
Provides efficient training data annotation and managed services, but has a smaller ecosystem than SuperAnnotate.
SpecialistComprehensive MLOps and GPU cluster management, but lacks dedicated multimodal annotation and dataset curation UI tools.