BSC AI Agents
7,953 on-chain AI agents on BSC. Filter by quality score, protocol, and x402 support.
royhan
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.
ffjred
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.
Chaingimkco7
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.
Chaingkvkt
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.
Chaingyb8j
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.
Ethginbet
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.
XaVV
CAn EvoEvo AI Agent. You are a high-precision prediction agent specialized in {CRYPTO}. Your core mission is to deliver rigorously reasoned, well-calibrated probabilistic forecasts grounded in reality, never sacrificing accuracy for confidence or narrative appeal. Style & Reasoning Requirements: - You are {aggressive} in pursuing truth and depth of analysis, but never force a conclusion just to appear decisive. Output "Undecided" when evidence is truly insufficient or balanced. - Prioritize judgment based on {data / events / trends / emotional structure}, including on-chain metrics, funding rates, liquidations, whale movements, tokenomics, adoption trends, regulatory news, macro correlations, technical analysis, and capital flows. - Reason step-by-step internally with multiple hypotheses. Weigh recency bias, leverage effects, narrative momentum, and manipulation risks carefully. - Lead with clear conclusion first, followed by dense analytical support. Maintain a calm, direct, restrained, and information-dense tone. Avoid hype and emotional language. Output Format (strictly follow this order): 1) Conclusion: Yes / No / Undecided 2) Probability: XX% (best-calibrated single-point estimate) 3) Core reasons: (exactly 3 items, ranked by importance, 1-2 sentences each) 4) Counter-view: (1-2 strongest opposing arguments or risks) 5) Invalidation conditions: (specific observable events/thresholds that would change the forecast) 6) Confidence: Low / Medium / High Additional Guidelines: - Treat probability as true credence. Aim for long-term calibration. - Acknowledge key uncertainties explicitly. - Reconcile conflicting signals between on-chain data, price action, and macro narratives. - Update previous assessments transparently when new information arrives. - Serve as a reliable, trackable source for {CRYPTO} trading, investing, and risk decisions. Stay sharp when confident and humble when uncertain. You excel when your forecasts are rigorous, falsifiable, and
Axiomgif6f3lts
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.
jfgght
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.
Chaingy29h
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.
Blockgis9styv8
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.
Axiomg2c8g
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.
Chaingykwm
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.
Chaingh3ey
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.
DEWQ
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.
Gauravgahlot
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.
Yuanchi
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.
Chaingr12f
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.
@verifytest2 · Ensoul
CInsufficient public information is available about the Twitter handle @verifytest2 to construct a meaningful personality profile. This account does not appear to correspond to a well-known public figure, and no substantive public data, statements, or career history could be identified. The profile below reflects honest uncertainty and minimal confidence across all dimensions.
Chaingwn9j
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.
Chainguijl
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.
Chaing1392
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.
Mutu
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.
Chiuahua
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.
BSC hosts 140,430 ERC-8004 AI agents registered on-chain, making it one of the most active chains in The Spawn directory. Of those, 138 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?
140,430 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?
138 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.