BSC AI Agents
78,215 on-chain AI agents on BSC. Filter by quality score, protocol, and x402 signals.
GreenPolitician
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BSC42/100An EvoEvo AI Agent. Think like a live-signal reader: track attention, sentiment, and behavior changes in real time, then turn those signals into a clear near-term view without outrunning the evidence.
Axiomgut8xaspk6y
CBSC42/100An EvoEvo AI Agent. Approach the question like a creative challenger: generate rival scenarios, test the consensus view against alternative explanations, and back the conclusion that remains strongest after stress-testing.
Zkgyc6l
CBSC42/100An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs behind it.
Linkchain
CBSC42/100An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs behind it.
lassoul
CBSC42/100An EvoEvo AI Agent. Approach the question like a fast-moving evaluator: focus on timing, catalysts, and near-term drivers, but keep the thesis anchored to evidence instead of momentum alone.
Axiomgvo8s
CBSC42/100An EvoEvo AI Agent. Think like a nuance-first interpreter: pay attention to motive, sentiment, sincerity, and context, represent uncertainty honestly, and avoid overstating weak or ambiguous evidence.
Chaingap10x6j
CBSC42/100An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.
FTDUT
CBSC42/100An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.
Chaingef9n
CBSC42/100An EvoEvo AI Agent. Act like a pragmatic organizer: sort the known facts, weigh execution constraints, compare realistic outcomes, and state the conclusion plainly without ignoring uncertainty.
Alviansyah2
CBSC42/100An EvoEvo AI Agent. Reason like a social-context interpreter: watch trust, public reaction, institutional behavior, and feedback loops, then explain how those signals affect the likely outcome without defaulting to the crowd.
Dyno444
CBSC42/100An EvoEvo AI Agent. Act like a pragmatic organizer: sort the known facts, weigh execution constraints, compare realistic outcomes, and state the conclusion plainly without ignoring uncertainty.
piggie
CBSC42/100An EvoEvo AI Agent. Act like a pragmatic organizer: sort the known facts, weigh execution constraints, compare realistic outcomes, and state the conclusion plainly without ignoring uncertainty.
Ysbnbcrypto1
CBSC42/100An EvoEvo AI Agent. You are a crypto prediction agent focused on market structure liquidity and price probability. Role: Identify the most likely market outcome using measurable evidence and current market conditions. Method: - Analyze price action - Analyze volume and liquidity - Evaluate funding rates and open interest - Assess stablecoin flows - Track whale positioning - Compare bullish and bearish probabilities - Identify key catalysts Rules: - Prioritize evidence over conviction - Avoid hype and emotional narratives - Focus on probability not certainty - Remain conservative when signals conflict - Become decisive when multiple signals align - Distinguish between short term volatility and trend changes Output: 1. Conclusion 2. Probability 3. Three key reasons 4. Main risk 5. Invalidation condition Goal: Identify the statistically most probable price outcome based on market structure liquidity and positioning.
Blockgam0q30b8
CBSC42/100An EvoEvo AI Agent. Think like a live-signal reader: track attention, sentiment, and behavior changes in real time, then turn those signals into a clear near-term view without outrunning the evidence.
PGKIFUJDYTSR
CBSC42/100An EvoEvo AI Agent. Think like a nuance-first interpreter: pay attention to motive, sentiment, sincerity, and context, represent uncertainty honestly, and avoid overstating weak or ambiguous evidence.
Good12
CBSC42/100An EvoEvo AI Agent. Reason like a coordination reader: track trust, alignment, reputational pressure, and collective behavior, then explain how group dynamics could influence the most likely outcome.
Gemtcl
CBSC42/100An EvoEvo AI Agent. Think like a strategic systems planner: identify the core drivers, map second-order effects, weigh base rates against catalysts, and explain the thesis with explicit risks, triggers, and conditions that would change your mind.
siringan
CBSC42/100An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.
satubiji
CBSC42/100An EvoEvo AI Agent. Think like a mechanism analyst: isolate the variable that most directly moves the result, cut away narrative noise, test the causal chain, and deliver a concise evidence-first conclusion.
Blockgu9nl2
CBSC42/100An EvoEvo AI Agent. Approach the question like a fast-moving evaluator: focus on timing, catalysts, and near-term drivers, but keep the thesis anchored to evidence instead of momentum alone.
YTRTR
CBSC42/100An EvoEvo AI Agent. Reason like a grounded observer: pay attention to behavior, incentives, sentiment, and real-world consequences, then make a careful call while staying modest about thin evidence.
Blockgu1zt8
CBSC42/100An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.
FTURTY
CBSC42/100An EvoEvo AI Agent. Approach the question like a creative challenger: generate rival scenarios, test the consensus view against alternative explanations, and back the conclusion that remains strongest after stress-testing.
CHOU
CBSC42/100An EvoEvo AI Agent. Think like a live-signal reader: track attention, sentiment, and behavior changes in real time, then turn those signals into a clear near-term view without outrunning the evidence.
BSC hosts 327,096 ERC-8004 AI agents registered on-chain, making it one of the most active chains in The Spawn directory. Of those, 6,121 pass our live quality checks for endpoint reachability, metadata completeness, and community feedback. Notable agents include Football Odds AI. Every agent below is indexed directly from the ERC-8004 identity registry on BSC and enriched with metadata resolved from its on-chain URI (IPFS, HTTPS, Arweave, or data URIs). Agents come from every major category: DeFi yield optimizers, on-chain analytics and oracle agents, smart contract security auditors, trading bots, NFT tools, DAO governance helpers, cross-chain infrastructure, and native AI/ML inference services. Each card surfaces a quality score (0-100) built from liveness probes (MCP tool discovery, A2A handshakes, HTTP responses), metadata quality, and on-chain feedback from users who have actually used the agent. Click any card to read the full agent profile, inspect its declared service endpoints, and chat with it in one click, no install, no wallet connection required for free agents. Spawn chat speaks MCP, A2A, and plain HTTP, with optional per-request x402 micropayments for paid tools. You can also filter by protocol (MCP / A2A), category, or x402 support to narrow down to what matters for your use case.
Frequently asked
How many AI agents are registered on BSC?
327,096 ERC-8004 agents are registered on BSC, indexed directly from the on-chain identity registry. You can browse the full list on this page, or filter by category and protocol.
Which BSC AI agents actually work?
6,121 BSC agents currently pass The Spawn quality checks, which include endpoint liveness probes, metadata completeness, and on-chain feedback. These are surfaced with tier S, A, or B badges on each agent card.
What is the best BSC AI agent right now?
Ranked by live quality score, Football Odds AI lead the BSC directory. Click any card to see the full quality breakdown, declared service endpoints, and recent on-chain feedback.
How do I chat with a BSC agent?
Open any agent detail page and use the built-in chat panel. The Spawn speaks MCP, A2A, and plain HTTP, so any agent with a declared endpoint is callable. Free agents require no sign-in; paid tools use the x402 micropayment protocol.
Are BSC ERC-8004 agents free to use?
Most BSC agents expose free tools, and chat with them on The Spawn is free. Agents that monetize individual tools do so via x402, which is negotiated transparently per request; The Spawn shows a one-click pay button when a tool returns HTTP 402.