Janitor JANITOR
Peringkat #3546
22:40:03 12/11/2026
Harga Janitor (JANITOR)
Rp 0,419421 -0,63%
0,000000000322 BTC
≈ US$0,0000229750
Terendah 24j: Rp 0,419421
Tertinggi 24j: Rp 0,422062
| Kapitalisasi pasar | Rp 419,4 Juta | Volume 24j | - | Suplai beredar | 1,00 Miliar JANITOR |
| Perubahan 1j | 0,00% | Perubahan 24j | -0,63% | Perubahan 7h | -3,74% |
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Konversi JANITOR ke Rupiah (IDR) dan USD
Info Janitor (JANITOR)
| Status | Aktif |
| Situs web | |
| Block Explorer | https://bscscan.com/token/0x3c8d20001fe883934a15c949a3355a65ca984444 |
| Chat | |
| Pengumuman | |
| X (Twitter) | |
| Platform |
BNB Smart Chain (BEP20): 0x3c8D20001FE883934A15c949a3355a65Ca984444 |
| Tanggal ditambahkan | 20:49:27 04/06/2025 |
| Tag | Memes, BNB Chain Ecosystem, Four.Meme Ecosystem |
Statistik Janitor (JANITOR)
| Harga Janitor (JANITOR) hari ini | |
|---|---|
| Harga Janitor (JANITOR) | Rp 0,419421 |
| Perubahan 1 jam | 0% |
| Perubahan 24 jam | -0,63% |
| Perubahan 7 hari | -3,74% |
| Terendah / Tertinggi (24j) | Rp 0,435131 / Rp 0,435407 |
| Volume perdagangan 24 jam | - |
| Kapitalisasi pasar | Rp 419,4 Juta |
| Dominasi pasar | 0,000001% |
| Peringkat | #3546 |
| Harga Janitor (JANITOR) kemarin | |
| Terendah / Tertinggi kemarin | Rp 0,435131 / Rp 0,435131 |
| Pembukaan / Penutupan kemarin | Rp 0,435131 / Rp 0,435131 |
| Perubahan harga kemarin | -% |
| Volume perdagangan kemarin | |
| Suplai Janitor (JANITOR) | |
| Suplai JANITOR beredar | 1.000.000.000 JANITOR |
| Total suplai | 1.000.000.000 JANITOR |
| Suplai maksimum | 1.000.000.000 JANITOR |
| Riwayat harga Janitor (JANITOR) | |
| Terendah / Tertinggi 7 hari | Rp 0,435131 / Rp 0,449438 |
| Terendah / Tertinggi 30 hari | Rp 0,435131 / Rp 0,526814 |
| Terendah / Tertinggi 90 hari | Rp 0,435131 / Rp 0,864147 |
| Terendah / Tertinggi 52 minggu | US$0,00002384 / US$0,0007027 |
| Tertinggi sepanjang masa 17:11:00 05/06/2025 |
US$0,03261 |
| Terendah sepanjang masa 03:59:00 03/11/2026 |
US$0,00002384 |
What Is Janitor?
Janitor is a crypto-native AI engine deployed on BNB Chain. It is designed to provide real-time analysis of blockchain activity and social sentiment by fusing onchain telemetry with offchain data streams. The system supports use cases including token monitoring, anomaly detection, and intelligent alerting for protocols, traders, and ecosystem participants.
Janitor operates as a modular infrastructure layer, integrating multi-modal data processing with autonomous reasoning. Its architecture supports both individual users and applications through an API-based intelligence layer and long-term plans for Agent-as-a-Service deployment.
Launched in 2025, Janitor’s development is centered on enabling BNBChain to interpret and act upon network-wide trends, behavioral patterns, and liquidity signals. The system is capable of ingesting and interpreting a wide range of inputs — from token launches and liquidity changes to KOL sentiment shifts and community-level discourse — and delivering structured outputs for human and machine consumption.
What Does Janitor Do?
Janitor performs several key functions:
- **Onchain Monitoring**: Tracks new token launches, wallet behavior, liquidity patterns, and transaction anomalies in real time.
- **Social Signal Processing**: Aggregates and interprets sentiment from social platforms, linking behavior of known accounts with token-specific or macro narrative shifts.
- **Risk and Alerting Engine**: Uses reinforcement learning and graph-based modeling to identify emergent risks, sudden activity changes, or coordinated behavior.
- **Insight Generation**: Employs language models and structured memory graphs to produce narrative summaries and forecasts about asset performance, community trends, or protocol risk.
Janitor is built to function as an autonomous agent layer that can be integrated into trading frontends, dashboards, dApps, or security systems across the BNBChain ecosystem.
Technical Architecture
Janitor combines multiple AI and data processing systems into a single inference stack:
- **Data Fusion Layer**: Aligns chain data, address-level activity, and offchain context using cross-modal attention and feature extraction models.
- **Real-Time Learning Engine**: Processes live transaction and social data through streaming pipelines with incremental model updates.
- **Graph-Based Risk Modeling**: Uses graph neural networks to identify clusters, outliers, and emergent coordination patterns across addresses and contracts.
- **Language Model Integration**: Augments detection and reporting with large language models (LLMs) for semantic summarization and reasoning.
- **Reinforcement Learning Module**: Optimizes alert thresholds and prioritization via feedback-based tuning over time.
What Is Janitor’s Long-Term Vision?
Janitor aims to evolve from a passive analytics engine into an agentic coordination layer across the BNBChain ecosystem. With support for the Model Context Protocol and Agent-to-Agent messaging, Janitor will support downstream integration of autonomous agents and AI assistants that can operate across decentralized applications.
By exposing a structured intelligence layer to other dApps and services, Janitor intends to support a broader transition toward agent-native infrastructure, where reasoning, data ingestion, and decision-making are embedded into ecosystem interactions.
Janitor is currently in active development and undergoing integrations with several BNBChain-native protocols.