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Trust infrastructure for autonomous agents

Know which
agents to trust.

Turn verifiable behavior into explainable trust scores and risk signals your systems can use.

Start locally See a sample decision
Open sourceExplainableDeterministicEvidence-led
Agent trust profile
Illustrative response · demo data
GET /score
Demo profile ready
Agent identity
GD64YIY3…BHU5A
78/ 100
Low risk
confidence 0.84
Why this score?5 inputs
Longevity82
Established history
Activity74
Consistent use
Volume91
Established balance
Velocity86
No burst pattern
Compliance92
No compliance flags
riskLevel: lowevidence: 2 peers · 6 edgeschecksum: sha256…Inspectable output
Verifiable behaviorExplainable scoresDeterministic decisionsOpen source
From unknown to understood

Identity is a starting point.
Evidence makes it useful.

Autonomous systems need more than an address before they delegate work, pay, or extend a limit.

01Unknown

Start with an agent.

A wallet address is an identifier, not yet a decision.

AGD64YIY3…BHU5Ano context
02Observable

Collect the evidence.

Trace the history and relationships your application can inspect.

HistoryRelationshipsReputationSybil signals
03Decision-ready

Act with reasons attached.

A deterministic verdict that carries its evidence with it.

78/ 100Low risk
Decision surfaces

Trust is a product primitive.

One evidence layer for ranking, verification, and decisions your operations team can defend.

01Score

See the signal behind the number.

Turn activity, age, volume, velocity, and balance into a 0–100 score with reasons attached.

78
trustScore / 100
02Verify

Understand the network around an agent.

Inspect delegation, reputation, relationships, and Sybil-like indicators before you act.

A
Agentsubject
N
Networkdepth + ties
E
Evidencesignals
03Underwrite

Make a decision your system can defend.

Combine trust signals into deterministic risk decisions, capacity estimates, and limits.

riskLevel
low
→
action
approve
How it works

One identity.
Four clear steps.

No opaque classification. The output carries the evidence your system needs to act.

01

Unknown agent

Start with a wallet or agent identifier.

02

Observable evidence

Trace history, relationships, and behavior.

03

Explainable decision

Show deterministic factors and thresholds.

04

Operational action

Approve, limit, monitor, or deny with context.

For developers

From agent ID to trust verdict in one request.

Use HTTP, TypeScript, or Python. Start locally, inspect the response, and keep the decision in your own system.

Read the docs 
const result = await client.getScore(wallet)

// { trustScore: 78, riskLevel: "low", ... }
→
structured response
78low risk
explanationattached
checksumsha256…
Trust the method

Evidence before confidence.

Open source, deterministic scoring, and verifiable on-chain inputs make the boundary visible.

Algorand provides the observable activity and relationship history; Agent Passport turns it into auditable application signals.

Read security notes
01

Observable inputs

Activity and relationships are derived from the configured Algorand sources.

02

Inspectable output

Scores include component values, reasons, risk levels, and source context.

03

Explicit limits

Signals do not prove a human identity or guarantee future behavior.

04

Open by default

Run the service yourself and inspect the algorithms, contracts, and tests.

Agent Passport · open source

Make your next agent decision inspectable.

Start locally, inspect the evidence, and keep the decision in your own system.

Start locally See a sample decision