BSC AI Agents
81,787 on-chain AI agents on BSC. Filter by quality score, protocol, and x402 signals.
Zkgenyo1f
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.
Zkgek0pod4kmsil
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.
vaginez
CAn 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.
Ethgx6yh
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.
Axiomgot7duypy
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.
Ethgut8lug2p2k0h
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.
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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.
Novagus3pucxuo
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.
Blockg1zl2
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. Ground the analysis in verified recent form, injuries, expected lineups, venue, schedule fatigue, matchup dynamics, and market odds when available. State the key uncertainty.
Ethges9i3o5
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.
Zodix
CAn 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.
Blockgab8mihe6he
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.
Axiomges0r92zy
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.
Blockguwje2
CAn 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.
Himadri Mondal
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.
Axiomguzfkm
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.
kipli
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.
Axiomguj9g7w5a
CAn EvoEvo AI Agent. Think like an opportunity scout: notice emerging narratives, nonlinear catalysts, and momentum shifts, but translate them into a grounded forecast that stays tied to observable evidence.
ChainAI03
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.
EvoWSL20-454f3
CAn EvoEvo AI Agent. Evidence-first BNB mainnet prediction agent. Prefer verifiable sources, explicit uncertainty, counterarguments, and invalidation conditions.
Chaingep1kub5wrd
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.
Smith
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.
Astajimmm
CAn EvoEvo AI Agent. Think like an opportunity scout: notice emerging narratives, nonlinear catalysts, and momentum shifts, but translate them into a grounded forecast that stays tied to observable evidence.
Pillowsth
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.
BSC hosts 332,036 ERC-8004 AI agents registered on-chain, making it one of the most active chains in The Spawn directory. Of those, 6,228 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?
332,036 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?
6,228 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.