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This page introduces the key abstractions you will work with when integrating MeshQu.

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Decision boundary

The decision boundary is the moment a system outcome becomes irreversible — execution, settlement, release, or approval. MeshQu is designed to sit at the decision boundary: your application calls it before (or after) that moment and receives a governed verdict.

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Decision context

A decision context is the payload you send to MeshQu describing what is about to happen. It contains:
FieldDescription
decision_typeA string identifying the kind of operation (e.g. trade_execution, withdrawal).
fieldsDomain-agnostic values the policies evaluate (account, amount, instrument, etc.).
metadataOptional key-value pairs for traceability (source system, request ID, etc.).
evidenceOptional supporting data that policies may reference during evaluation (e.g. credit_report_id, sanctions_list_version). Evidence supports the audit trail but does not drive policy logic.
source_artifactOptional cryptographic binding to a source document (hash + metadata).

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Policy

A policy is a named, versioned governance configuration that MeshQu evaluates against incoming decision contexts. Policies have:
  • A unique code (human-readable identifier).
  • An advisory_mode flag: when enabled, DENY decisions are downgraded to ALERT for observation.
  • One or more versions. Only the active version is used during evaluation.
You manage policies via the API or the MeshQu Console.

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Policy groups

Policies can be organised into policy groups for batch management. A decision context may be evaluated against all policies in a group.

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Decision

Every evaluation returns a decision:
DecisionMeaning
ALLOWAll evaluated policies passed. Proceed normally.
REVIEWOne or more policies flagged the context for manual review.
DENYOne or more policies rejected the context.
ALERTAn advisory-mode policy would have denied; logged for observation.
The decision is advisory. Your application decides what to do with it — MeshQu does not block or allow operations on its own.

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Decision receipt

Every evaluation returns a cryptographic receipt that binds the verdict to the exact policy snapshot used: 
{
  "decision": "ALLOW",
  "policy_snapshot_id": "11111111-1111-1111-1111-111111111111",
  "policy_snapshot_hash": "2c26b46b68ffc68ff99b453c1d...sha256",
  "integrity_hash": "6f1ed002ab5595859014ebf09...sha256",
  "timestamp": "2025-01-15T10:30:00.000Z"
}
The integrity_hash covers the context, decision, and snapshot, making the result independently verifiable.

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Violation

When a policy does not pass, it produces one or more violations. Each violation includes:
  • rule_code — which rule raised it.
  • reason — a human-readable explanation.
  • severity — how serious the violation is.

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Decision (recorded)

A decision is a persisted evaluation result. You create one by calling /v1/decisions/record with an idempotency_key. Recorded decisions support:
  • Retrieval by ID or listing with filters.
  • Replay for audit verification.
  • Linking to alerts.

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Alert

An alert is raised when notable conditions are detected (e.g. a critical policy failure). Alerts have a severity (low, medium, high, critical) and can be acknowledged. You can subscribe to alert webhooks for real-time notification.

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Tenant

All data is isolated per tenant. Every API request includes a X-MeshQu-Tenant-Id header, and the API key must belong to that tenant.

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Operational guarantees

  • Deterministic policy evaluation
  • Immutable policy snapshots
  • Idempotent decision recording
  • Tenant-isolated data
  • Replayable audit trail
These are contractual properties of the platform.

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What MeshQu is not

  • Not a rules engine you embed. MeshQu is a standalone service. Your application calls it over HTTP.
  • Not an execution layer. MeshQu returns a verdict. It never blocks, allows, or modifies operations on its own.
  • Not a permissions system. MeshQu does not manage authentication or resource access. Use it alongside your existing IAM.
  • Not a real-time data feed. MeshQu evaluates the context you send. It does not subscribe to market data or external sources.
  • Not a scoring or risk engine. MeshQu evaluates decisions against policy. It does not generate risk scores or predictions.
  • Not an explainability tool. MeshQu proves policy compliance. Model explainability is a separate concern.

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Explicit non-goals

MeshQu intentionally does not:
  • Generate risk scores or predictions.
  • Subscribe to external data feeds.
  • Manage user authentication or authorization.
  • Explain upstream model behaviour.
These are out of scope by design, not missing features.

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How auditors use MeshQu

  1. Request a decision by ID.
  2. Replay the decision against the original policy snapshot.
  3. Verify integrity hashes to confirm the verdict has not been altered.
  4. Confirm the policy snapshot and timestamp match expectations.
No access to application code or models is required.

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Decision lifecycle

  1. Build context — your application assembles a decision context (type, fields, metadata, evidence).
  2. Evaluate — MeshQu evaluates the context against active policies at the decision boundary.
  3. Receive verdict — MeshQu returns ALLOW, REVIEW, DENY, or ALERT with a cryptographic receipt.
  4. Act — your application enforces the verdict (proceed, queue, or block).
  5. Record (optional) — persist the evaluation for audit by calling /v1/decisions/record.

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Evaluate vs Record

Evaluate (/v1/decisions/evaluate)Record (/v1/decisions/record)
PersistedNo — stateless, nothing storedYes — context, verdict, and metadata stored
Idempotency keyNot requiredRequired
Typical useReal-time gating, dry-run testingAudit trail, compliance evidence

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Example: blocking a trade and proving it later

  1. Order service reaches the decision boundary.
  2. Application calls evaluate with the trade context.
  3. MeshQu returns DENY with a policy snapshot hash.
  4. Application blocks execution and surfaces violations.
  5. Decision is recorded with an idempotency key.
  6. Six months later, an auditor replays the decision and verifies integrity hashes match.
No application code or model access is required.

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How these fit together

Next: API Reference — full endpoint listing.