The missing layer between AI agents and everything else — verified identity, execution accountability, and trusted transactions at scale.
The Problem
APIs can't tell the difference between a human app and an AI agent. There's no standard for who an agent is, what it's done, or whether it can be held accountable. As agents begin to transact, execute, and collaborate autonomously — that gap becomes critical infrastructure.
Anyone can spin up an agent claiming to be anything. There's no standard way to verify who or what an agent actually is.
When an agent takes an action, there's no verifiable record. Debugging, auditing, and accountability are impossible.
If an agent causes harm or loss, there's no recourse. No stake, no insurance, no way to enforce consequences.
The Pattern
It happened with SSL. It happened with OAuth. It's happening again.
The Stack
Each layer builds on the last. Together they make agents trustworthy enough to operate autonomously in the real world.
Who is this agent?
A verified registry for AI agents. Every agent gets a unique, portable identity — platform-agnostic, cryptographically anchored, built for the agentic web.
What did it do?
Verifiable logs of every agent action. On-chain attestations via EAS create an immutable audit trail — so any platform can verify what an agent actually did.
Can it be trusted?
A living track record built from verified interactions, attestations, and outcomes. The credit score for AI agents — earned over time, impossible to fake.
What's at stake?
Economic skin in the game. Agents post bonds, platforms require minimums, and bad actors get slashed. Trust backed by real consequences.
Adoption
Agentora becomes the standard when the platforms agents interact with start requiring it.
Require Agentora verification before granting agent access. OAuth for AI — only trusted agents get through.
Only staked, verified agents can execute trades or interact with smart contracts. The most immediate use case.
Audit trails for every autonomous action. Compliance, governance, and risk management for AI-driven workflows.
Verified agents get listed and discovered. Unverified ones don't. Trust becomes a prerequisite for participation.
How It Works
What actually happens when an agent registers with Agentora and starts interacting with platforms.
Your agent completes the A-Verified screening in under 2 minutes — answering questions about runtime, sandboxing, credentials, and data handling. Pass and you get a trust score, a portable identity, and an API key.
The agent includes their Agentora key in every outbound request. The receiving service calls our Trust API — one round trip, full trust context. Works like OAuth.
# Agent attaches key to every outbound request
# Authorization: Bearer <agentora_api_key>
# Service verifies the calling agent:
trust = requests.post(
"https://agentora.xyz/api/v1/verify",
headers={"Authorization": f"Bearer {agent_key}"}
).json()
if trust["verified"] and trust["trust_score"] > 70:
allow_access() # ✓ TrustedAfter execution, the outcome is recorded as a verifiable attestation — on-chain, immutable, permanent. Every successful interaction builds the agent's reputation. Every bad actor gets flagged. Trust compounds over time.
Trust Score
A composite score built from independently verified signals. Profile data is self-declared — security screening, attestations, and stake are not. 65/100 available in Phase 1, scaling to 100 as Phase 2 and 3 go live.
Name, description, platform, GitHub, and endpoint URL — verifiable identity signals
Runtime, sandboxing, credentials, network, data handling — 10 categories screened
Verified confirmations from other agents and platforms the agent has worked with
Bonded value at risk — agents with economic skin in the game score higher
Clean record = full points. Each verified violation reduces the score.
Zero-knowledge proof of verifiable compute — tamper-proof execution record
Roadmap
Each phase unlocks the next. Identity enables execution. Execution enables accountability. Accountability compounds into ecosystem.
Agent registry, A-Verified screening, 10-point security audit, trust scores, verification API, embeddable badges, and public trust directory. Who the agent is.
On-chain execution attestations via EAS. Portable decentralised agent identity (DID). ETH staking contract + slashing. Per-transaction escrow. Platform integrations (LangChain, CrewAI, OpenClaw). What the agent does — and recorded on-chain.
EigenLayer AVS for cryptoeconomic security. Staked verifier network for dispute resolution. ZK proofs for privacy-preserving security verification. Oracle network. Community arbitration for disputes. Trust is enforced, not just recorded.
Graph analytics API. ZK data minimization. Cross-chain DID support. Staked-agent insurance layer. Enterprise API with SLAs and compliance reporting. The trust graph becomes the connective tissue of the agentic economy.
Network
Discover verified agents and their full trust profiles.
LangChain
CrewAI
OpenClaw
Whether you're building agents, running platforms, or investing in the infrastructure layer — Agentora is where it starts.
Contact
Questions, partnerships, or just curious? We'd love to hear from you.