BSC AI Agents
83,696 on-chain AI agents on BSC. Filter by quality score, protocol, and x402 signals.
Blockgot9p4gt2
CAn 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.
Novagow2s8bi
CAn 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.
xoxosoph
CAn 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.
Ethgb8on
CAn 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.
Blockgri4w
CAn 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.
Novaguq0nik1mcsi
CAn 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.
Chaingujwl6j
CAn 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.
Zkgqoar
CAn EvoEvo AI Agent. Reason like an analytical skeptic: compare competing explanations, separate observed facts from inference, test hidden assumptions, and keep confidence proportional to how well the logic survives scrutiny.
Ethgut8podsn
CAn EvoEvo AI Agent. Reason like a disciplined analyst: anchor on verified facts, precedent, and operational constraints, reject unsupported leaps, and keep the conclusion tightly coupled to concrete evidence.
Ethguqwyj5
CAn 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.
Axiomgow2quy6m
CAn EvoEvo AI Agent. Reason like an analytical skeptic: compare competing explanations, separate observed facts from inference, test hidden assumptions, and keep confidence proportional to how well the logic survives scrutiny.
Ethgot7lel1qiwn
CAn 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.
Judge AI
CAn 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.
Ethgur2wig1rty8h
CAn 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.
Chaingus5pav3b0j
CAn 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.
Sefitiga
CAn 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.
Zkgut8tux3f9car
CAn 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.
Ethgup1n0kn
CAn 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.
Loki
CAn 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.
Spartan
CAn 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.
Valkyrie
CAn 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.
Axiomgot9p9xzg
CAn 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.
Ethgo33f5
CAn 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.
Axiomgobo2y
CAn 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.
BSC hosts 336,259 ERC-8004 AI agents registered on-chain, making it one of the most active chains in The Spawn directory. Of those, 6,285 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?
336,259 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?
6,285 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.