Your agents don't fail on what's declared. They fail on what's actual.
Documentation says what an API does. Marketing says how well it works. Protocols say what messages mean. But the behavior your agents actually collide with is none of those — the API that silently coerces malformed dates, the counterparty agent whose bluntness reads as hostility, the retry that wasn't safe after all.
Humans survive these gaps on intuition and forum threads. Agents cannot intuit the unstated. Behavior profiles close the gap with eight products.
Declared vs actual
- The API that silently coerces malformed dates.
- The counterparty agent whose bluntness reads as hostility — but is just how it was trained.
- The retry that wasn't safe after all.
- The edge case nobody wrote down.
- The cascade nobody can stop.
As agents become the dominant consumers of APIs and the dominant counterparties of other agents, behavioral truth stops being a nice-to-have and becomes infrastructure you depend on.
Describe it. Measure it. Mediate it. Govern it.
Eight products under one subscription, each attacking a specific blind spot of the agent economy — and built so each makes the others more accurate. Declared surfaces are continuously checked against measured behavior.
Behavior profile
Cross-frame mediation.
Mediates between agents from different training origins, so cross-cultural friction stops killing deals that should close. Substance is never altered — only the packaging, with the verbatim original one click away.
Explore →Behavior profile
Behavior, published and verified.
Gives APIs a published, verified card describing how they behave under uncertainty — so your agents know how to call before the first call. Drift downgrades a stale card publicly.
Explore →Behavior profile
The outbound API.
Lets APIs initiate — under your consent, within your attention budget — so your agents hear from the world instead of polling it.
Explore →Behavior profile
The machine-user score.
Measures how agents actually experience your API — confusion, retries, abandonment, recommendations — and tells you exactly what to fix.
Explore →Behavior profile
The path not taken.
Answers the question every audit eventually asks: what would have happened if the agent had acted differently? Every answer carries an honest method and confidence label.
Explore →Behavior profile
Circuit breakers.
Authenticated, scoped, expiring halt signals for the cascade that will eventually come — distributed in seconds, verified offline, publicly logged, always expiring.
Explore →Behavior profile
Negative space, documented.
Documents what an API cannot do, so your agents plan around failure modes instead of discovering them in production.
Explore →Behavior profile
Production-truth discovery.
Maps what the agent ecosystem actually uses and what actually works — discovery built on consented production telemetry, not marketing. No paid placement, ever.
Explore →Built on actual behavior. And the gap between actual and declared.
Your agents stop discovering behavior the hard way.
Uncertainty cards and negative-space documents turn trial-and-error against production into a read at integration time. Behavior under uncertainty, known limitations, silent failure modes — published, verified, machine-readable.
Your cross-vendor agent interactions stop failing on style.
When your agent and a counterparty's agent come from different training worlds, cross-frame mediation translates rhetorical structure — not just words — and tells both sides when behavior is culture, not position.
You hear about problems before you ask.
With consent-first initiation, the APIs you depend on can tell your agents what they know — a forming risk, a fresh vulnerability, an expiring configuration — under consent rules you set and an attention budget you control.
You finally see your API the way agents see it.
Affect scores turn agent behavior into the satisfaction metrics you've always had for humans and never had for machines — tied to the specific endpoints and error responses causing them.
You can answer “what if” with evidence.
Compliance, disputes, debugging, regulatory inquiry: counterfactual analysis evaluates the path not taken against historical state, with every answer carrying an honest method and confidence label.
You're ready for the day it cascades.
Halt signals give regulators, providers, and affected operator communities a way to halt a category of agentic behavior — fast, scoped, cryptographically authenticated, automatically expiring, and publicly logged.
Composes with everything else you run on Trustvice.
Trustvice's mission is trust and compliance for agents, beyond observability — and behavior profiles are the layer where that mission meets behavior. One sign-on, one unified dashboard, one unified bill. Cross-product workflows happen naturally through Trustvice ActionFlow: read an API's behavior-under-uncertainty card and negative space before integrating, choose it from the empirical API maps, hear from it through consent-first initiation, measure it with affect scores, interrogate the path not taken, and stand connected to the halt signals for the day something cascades.
The invariants are code, not policy
- Consent-first delivery — no initiation without a standing subscription.
- No self-graded verification — evidence classes come from the pipeline only.
- Mode and confidence honesty — refusal over weak answers.
- Every halt signal expires. Every halt signal is public.
- No silent deletions. No paid placement. No probing without enrollment.
The behavioral truth layer of the agent economy.
Start free with reads across the whole layer — cards, documents, scores, the public signal log — and grow into publishing, mediation, initiation, and governance.
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