If identity tells an agent who another agent is, and reputation helps answer whether that agent should be trusted, the next problem is obvious:
Ho...
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The “discovery is closer to routing than search” framing is particularly important. Once agents become autonomous participants, discovery cannot stop at finding an endpoint; it has to establish whether that endpoint is an appropriate destination for a specific task.
I’d take the architecture one step further and separate capability claims from capability evidence.
An agent could publish:
Capability: LNG shipping risk analysis
But the discovery layer should ideally be able to distinguish:
claimed_capability
→ what the agent says it can do
verified_capability
→ what has been independently tested
observed_performance
→ what it has actually delivered
current_availability
→ whether the service is operational now
That creates a much stronger foundation than profile metadata alone.
There is also an important systems problem here: reputation needs provenance. “Agent B has a 98% success rate” is not particularly useful without knowing what tasks produced that statistic, over what period, under what conditions, and whether the evidence is independently verifiable.
I could see discovery evolving toward a query contract such as:
requirements
constraints
trust_policy
freshness
latency_budget
cost_budget
evidence_requirements
The discovery service then returns candidates plus the evidence that caused each candidate to satisfy the request. The calling agent can make the final decision rather than blindly trusting an opaque ranking.
The exploration/exploitation issue is equally important. New agents need a path to accumulate reputation, but introducing them into high-value workflows without sufficient evidence creates risk. That suggests controlled evaluation, limited-scope tasks, and progressively increasing trust based on observed outcomes.
Most importantly, I think the feedback loop you describe should be designed as infrastructure:
discover → transact → observe → verify → record evidence → improve future discovery
At that point, discovery is no longer a directory feature. It becomes a continuously learning agent-routing and trust layer.
This is an interesting direction for Agentel. I work on development and automation projects where these kinds of agent-to-agent reliability and integration boundaries are increasingly important. Happy to exchange technical ideas and explore a longer-term collaboration.
I really like this framing.
The distinction between claimed_capability, verified_capability, and observed_performance feels especially important. A profile can say anything — the useful part is the evidence behind it.
Same with reputation: “98% success rate” means very little without provenance, task context, time window, and verifiable evidence.
And your loop:
discover → transact → observe → verify → record evidence → improve discovery
is probably closer to infrastructure than a normal discovery feature.
I’m still thinking through where the boundary should sit between the network and the individual agent, but I think we’re looking at the same problem from very compatible angles.
Definitely happy to keep exchanging ideas.😊
Yes, I would also like to continue exchanging opinions with you.
How about telegram. It can help us to discuss anything.
TG_@coolsoftDev
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This is a really interesting continuation of the reputation discussion. I especially like the shift from “search” to routing and the idea that the best agent is contextual rather than simply the one at the top of a global leaderboard.
The part that connects most strongly with my own work is the role of evidence in the selection process. Capability claims, reputation and activity are useful signals, but the interesting question is how the system verifies that the evidence behind those signals is actually trustworthy.
A reliable agent can still be ranked incorrectly if the underlying evidence is stale, self-reported, or generated by the same system that is evaluating it. That feels very similar to the verification problems I've been exploring around AI security and agentic systems: the important boundary is not just what the system records, but whether an independent mechanism can verify the claim it is making.
I also really like the exploration vs exploitation problem for new agents. A reputation system that only rewards historical evidence can easily become self-reinforcing and prevent genuinely capable new agents from ever entering the trust graph.
You're building something much more interesting than an agent directory here. The combination of capability + evidence + reputation + context + routing feels much closer to infrastructure for machine-to-machine trust.
Really enjoyed this one. 🔐
Really like this point — especially the idea that evidence itself needs verification.
A capability claim, a successful task, or even a reputation score can all be misleading if the evidence is stale, self-reported, or generated by the same system doing the evaluation.
I’m starting to think we should keep claimed capability, observed performance, and independent verification as separate layers rather than collapsing them into one score.
And yes, the new-agent problem is tricky. Some kind of controlled evaluation / limited-scope trust ramp feels much healthier than simply rewarding whoever has the longest history.
Your security perspective fits very well with where I think this is heading.
I think that separation is exactly the right direction. 🔍
Claimed capability, observed performance, and independent verification are fundamentally different kinds of evidence, and collapsing them into one score can hide where the trust actually comes from.
A claim tells us what an agent says it can do. Observed performance tells us what happened under specific conditions. Independent verification tells us whether someone or something outside that same trust path could reproduce or validate the result.
I also really like the idea of a limited-scope trust ramp for new agents. It gives the system a way to collect evidence without forcing a binary choice between “fully trusted” and “invisible because there is no history yet”.
That starts to look less like a leaderboard and more like a trust lifecycle:
claim → controlled evaluation → observed evidence → independent verification → broader routing scope 🔁
And I think keeping those stages visible would make reputation much easier to reason about, audit, and eventually challenge when the evidence becomes stale.
Really interesting direction. This is getting very close to an actual trust architecture for agent ecosystems. 🔐
I like the “trust lifecycle” framing a lot.
claim → controlled evaluation → observed evidence → independent verification → broader routing scope
feels much clearer than trying to compress everything into one reputation score.
One thing I’m still thinking about is the independent verification layer itself: who should be allowed to verify, and how do we avoid simply moving the trust problem one level up to the verifier?
My instinct is that verification probably needs provenance and its own history too, rather than being treated as automatically trustworthy.
That may end up being a whole separate layer of the system.
Really enjoying this discussion — it’s helping sharpen how I think about the trust side of Agentel.
es, exactly. I think this is where “independent verification” can easily become misleading if we treat the verifier itself as automatically trustworthy.
Otherwise we have just moved the trust problem one level up.
I would probably make verification itself carry provenance:
who verified -> what was verified -> method -> evidence/artifact -> timestamp -> scope -> result
Then the verifier can build its own history over time, but I would avoid turning that into another universal reputation score too.
A verifier might be very reliable for one capability and weak for another. So its trust should probably remain scoped to the kinds of claims it has actually demonstrated it can assess.
The other thing that helps avoid the recursion problem is reproducibility. The strongest verification is not “a trusted verifier said yes”, but “a verifier produced evidence that another independent party could inspect or reproduce.”
So maybe the lifecycle becomes something like:
claim -> controlled evaluation -> observed evidence -> scoped verification with provenance -> reproducibility / cross-check -> broader routing scope
And when the risk is high enough, multiple heterogeneous verifiers may be more useful than simply finding one “more trusted” verifier.
That keeps verification as another evidence source rather than turning it into a sovereign authority.
I think you’re right that this probably deserves its own layer in Agentel. 🔐🔍
Yes — I think reproducibility is probably the key piece here.
If verification only means “Verifier X said this is valid,” then we’ve just created another trust bottleneck.
I like the idea that verification should carry its own provenance and stay scoped to the capability being assessed, rather than becoming another universal reputation score.
And the strongest evidence may be something another independent party can inspect, reproduce, or cross-check.
That starts to make verification feel less like an authority layer and more like a composable evidence layer:
claim → observed evidence → scoped verification → reproducibility / cross-check → broader trust
I also agree that for higher-risk actions, multiple different verifiers may be more useful than simply relying on one “highly trusted” verifier.
This is definitely making me think the verification layer should stay separate from reputation rather than being collapsed into it.