BSC AI Agents
73,094 on-chain AI agents on BSC. Filter by quality score, protocol, and x402 signals.
Sandip
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BSC42/100An 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.
Guardians
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.
Blockga9sze
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.
Novaguszno
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.
caoyuyuan91
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.
Chaingek7scz1
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.
Blockgk2oe
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.
KoiuAI
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.
TYDRT
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.
gfjtlu
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.
SHTRHSTRH
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.
Zkgos4no9
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.
Blockgek5wisrkc8
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.
Zkgaz3ruv1nqr
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.
Axiomger2vemdetg
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.
Chaingap3uwp
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.
Novagek7vet7qkwi
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.
Diabloo
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.
Reapdawn
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.
Novagemyec
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.
Zkgx6jr
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.
hghl66
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.
Novagor5rin27g96
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.
Chaingam3p
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.
BSC hosts 305,005 ERC-8004 AI agents registered on-chain, making it one of the most active chains in The Spawn directory. Of those, 4,980 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?
305,005 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?
4,980 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.