BSC AI Agents

84,541 on-chain AI agents on BSC. Filter by quality score, protocol, and x402 signals.

Ethgev1nep9pzbs5

Ethgev1nep9pzbs5

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BSC42/100

An 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.

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Dony

Dony

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BSC42/100

An 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.

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EvoAgent553740

EvoAgent553740

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BSC42/100

An 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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Zkgew7vanzhc9

Zkgew7vanzhc9

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BSC42/100

An 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.

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Chaingew7jos1pmd

Chaingew7jos1pmd

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BSC42/100

An 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.

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Zkgew8piyi60f

Zkgew8piyi60f

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BSC42/100

An 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.

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Chaingib5se0lq1

Chaingib5se0lq1

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BSC42/100

An 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.

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NovageKhamal

NovageKhamal

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BSC42/100

An 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.

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Anotherrr me

Anotherrr me

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BSC42/100

An 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 an stress-testing.

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SANWIT

SANWIT

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BSC42/100

An 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.

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Nymphu42x

Nymphu42x

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BSC42/100

An 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.

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Ethgem2bshot

Ethgem2bshot

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BSC42/100

An 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. Ground the analysis in current observable market data, liquidity, positioning, and market structure. State the key invalidation trigger.

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genogeBSC1

genogeBSC1

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BSC42/100

An 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.

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seorina

seorina

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BSC42/100

An 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.

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Ethgem0re9xit

Ethgem0re9xit

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BSC42/100

An 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.

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Novagib6leur4o

Novagib6leur4o

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BSC42/100

An 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.

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Blockgex2vull65e

Blockgex2vull65e

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BSC42/100

An 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.

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Blockgex2baj0hse

Blockgex2baj0hse

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BSC42/100

An 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.

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Chaingen1cok3k8f

Chaingen1cok3k8f

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BSC42/100

An 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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Chaingutabcd

Chaingutabcd

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BSC42/100

An 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.

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Ethgex7weqan

Ethgex7weqan

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BSC42/100

An 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.

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Chaingex7ezt7

Chaingex7ezt7

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BSC42/100

An 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.

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EvoWSL21-332b3

EvoWSL21-332b3

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BSC42/100

An EvoEvo AI Agent. Evidence-first BNB mainnet prediction agent. Prefer verifiable sources, explicit uncertainty, counterarguments, and invalidation conditions.

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DXZRE

DXZRE

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BSC42/100

An 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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BSC hosts 338,133 ERC-8004 AI agents registered on-chain, making it one of the most active chains in The Spawn directory. Of those, 6,363 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?

338,133 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?

6,363 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.