The measurement science
for AI impact.
Ten frameworks. Three layers. One standard. VaryOn Amplitude quantifies what no one else measures - from data quality to agent trust to systemic risk.
VaryOn Amplitude is not a product. It is the foundational methodology that unifies everything VaryOn Works produces - the principle that AI impact is quantifiable, multi-dimensional, and standardizable across every layer of the AI economy.
“Can this agent be trusted, and is it controlled?”
Impact is measurable.
Every dimension of AI's effect on business can be quantified.
Impact is multi-dimensional.
No single score captures AI's full effect.
Impact is standardizable.
Open methodologies create trust for regulatory adoption.
Impact flows across layers.
Data quality affects agent decisions affects systemic stability.
Impact demands accountability.
Measurement without accountability is just monitoring.
Ten Frameworks for the AI Economy
VaryOn Meridian
Data Impact
“Is this data worth consuming, and what should an agent pay for it?”
Meridian evaluates external data sources consumed by AI agents across four orthogonal dimensions, producing a composite score mapped to procurement tiers and dynamic pricing. Delivered in real time via MCP server integration during agent tool-call execution.
Explore framework →VaryOn Provenance
Identity Impact
“Can you verify who this agent is, what it does, and who deployed it?”
Provenance is the passport layer for autonomous agents. Before trust can be assessed, identity must be established. Provenance measures the verifiability, transparency, and completeness of an agent’s identity, capability claims, and operational history, enabling SOC 2-style certification for the agent economy.
Coming soonVaryOn Fidelity
Trust Impact
“Can this agent be trusted to do what it claims?”
Fidelity measures signal integrity - the credit score for autonomous systems. It scores whether an agent can be trusted based on its observable behavioral track record. Identity is measured by Provenance; Fidelity measures behavior exclusively: consistency, fulfillment, reputation, and anomalies.
Coming soonVaryOn Drift
Alignment Impact
“Is this agent still serving its principal’s intent?”
Drift detects the invisible gap between what a human principal wants and what an agent actually does - especially across delegation chains where alignment degrades per hop. Its shadow principal detection acts as a multiplicative gate, identifying when third-party interests silently influence agent behavior and directly capping the maximum possible score.
Coming soonVaryOn Threshold
Resilience Impact
“How resistant is this agent to adversarial attack and manipulation?”
Threshold stress-tests agents against adversarial conditions. Where Fidelity measures past behavior (credit score), Threshold measures future resilience (stress test). Research shows 82.4% of LLMs succumb to peer-agent manipulation - Threshold quantifies exactly how resistant a specific agent is.
Coming soonVaryOn Parity
Fairness Impact
“Is this agent treating all populations equitably?”
Parity measures what no other framework captures: whether an agent’s decisions produce equitable outcomes across demographic groups. A hiring agent filtering out certain backgrounds, a pricing agent charging more based on inferred characteristics - these are Parity failures invisible to trust, alignment, or competition metrics.
Coming soonVaryOn Mandate
Human Oversight Impact
“Can a human effectively intervene, override, or stop this agent?”
Mandate quantifies whether human control over autonomous agents is real or ceremonial. EU AI Act Article 14 mandates human oversight; Mandate measures it. Each delegation hop adds latency between the human and the action - at some point, the human is nominally “in the loop” but functionally irrelevant.
Coming soonVaryOn Cascade
Systemic Impact
“If something breaks, how far does the damage spread?”
Cascade is the financial stress test for the agent economy. A single compromised agent can poison 87% of downstream decisions within 4 hours. Cascade runs Monte Carlo simulations on observed network topology to estimate propagation probability - the systemic risk measurement central banks are demanding.
Coming soonVaryOn Harmony
Market Impact
“Is this market competitive, innovative, and open to new entrants?”
Harmony measures competitive balance in agent ecosystems. It detects when network effects create insurmountable moats, when agents collude rather than compete, and when innovation stagnates from lack of competitive pressure. Unlike other frameworks, Harmony is compensatory - strength in innovation can partially offset concentration, reflecting that even concentrated markets can be competitive.
Coming soonVaryOn Torque
Economic Impact
“Is value being created efficiently, or is friction destroying it?”
Torque measures economic efficiency - the ratio of value created to value extracted in agent ecosystems. It detects when transaction costs consume value, when intermediaries extract excessive rents, and when misaligned incentives destroy welfare. Every basis point of friction compounds across millions of autonomous transactions.
Coming soonWhen frameworks combine, invisible patterns emerge.
Amplitude's power multiplies at the intersections.
Harmony + Cascade
Systemic Competition Risk
Market concentration in a dense network means anti-competitive behavior goes systemic.
Mandate + Cascade
Uncontrollable Failure
When humans can't intervene and failures propagate, the system is ungovernable.
Drift + Mandate
Silent Misalignment
An agent drifting from intent while human oversight is ceremonial creates invisible risk.
Parity + Harmony
Coordinated Discrimination
Fairness failures in a concentrated market amplify bias across the entire ecosystem.
Torque + Cascade
Efficiency Crisis
Transaction friction compounds through interconnected networks, destroying value at systemic scale.
Meridian + Torque
Data ROI
High-quality data inputs directly correlated with genuine economic efficiency.
From methodology to infrastructure.
MCP Server
Transaction-Grade · <100ms
Real-time Meridian scoring delivered inline during agent tool-call execution via Model Context Protocol. Sub-100ms cached, sub-500ms fresh computation for data procurement decisions at inference time.
Transaction-grade frameworks
REST API
All 10 Frameworks · Tiered Access
Programmatic access to every Amplitude framework score. From developer prototyping to enterprise-scale scoring with webhooks, custom thresholds, and white-label integration for agent marketplaces.
Developer to Enterprise tiers
Policy Engine
Regulatory Compliance · Automated
Automated compliance mapping to EU AI Act, NIST AI Agent Standards, and sector-specific regulations. Continuous audit trails, regulatory reporting, and certification-ready documentation.
Compliance automation
Monitoring
Monitoring-Grade · Continuous
Streaming dashboards for Drift, Mandate, and Torque frameworks. Sliding-window analysis, anomaly detection, and real-time alerts when agents deviate from alignment, oversight, or efficiency thresholds.
Monitoring-grade frameworks
Passport
Agent Certification · Cryptographic
The credential system for the agent economy. Passport bundles Provenance identity verification with Fidelity trust scores into a portable, cryptographically signed certification - SOC 2-style auditing for autonomous agents.
Agent certification program
Three operational tiers. Transaction-grade scores serve inline at <100ms for real-time decisions. Monitoring-grade analysis runs continuously for compliance dashboards. Assessment-grade evaluations run deep simulations over hours for certification and regulatory audit.
Every question a regulator, judge, or enterprise buyer would ask about AI agents - answered.
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