The control layer between raw telemetry and production policy. Rehearse thresholds, simulate bursts, explain incidents.
Reconstruct event traffic under controlled scenarios. Analytical only — never triggers production side effects. Test whether thresholds still work when timing widens.
Thresholds, replay assumptions, routing rules — saved as one versioned package.
Measure retry amplification and delivery pressure before it becomes customer-visible.
Normalize traces from several chains into one review surface. One decision context.
Reconstruct traffic shape under selected scenarios. Apply confirmation delays, timeout spikes, and retry amplification — without touching production.
$ anveraq replay --scenario chain-lag-burst Chain A 2.4k evt/m Chain B 1.1k evt/m Chain C 680 evt/m ✓ Replay complete — 0 side effects
Evaluate false positives, late escalations, and chain-specific thresholds side by side. Full version history with reviewer attribution.
Policy Diff: v2.4.1 → v2.5.0 false positives 12 → 4 ↓67% missed incidents 3 → 1 ↓66% avg response 14m → 6m ↓57% ✓ Approved by ops-team ✓ Dossier exported
Replays never trigger live side effects. Customer execution logic stays outside the core.
Teams exposing webhooks or subscriptions to external consumers. Need to explain delivery posture when partners report late or missing events.
Teams running listeners across several chains. Need to normalize traces into one operator timeline and rehearse threshold changes safely.
Teams that own event pipelines but still need explainable incident context. Need dossiers that engineering, support, and leadership can all read.
Traditional tooling shows fragments of the picture but doesn't let teams ask, in a controlled way, what a policy change will actually do under stress.
Prove a chain emitted something
Don't explain downstream delivery posture
See service health and latency
Don't model chain-specific confirmation behavior
Consolidate incidents
Assume the alert policy is already correct
One-off analysis after a failure
Don't create a repeatable pre-change decision loop
Fast deployment with managed control plane and replay services. Get started in minutes.
Stronger isolation, data residency, and network control for regulated environments.
Hosted review tooling with customer-side connectivity and redaction. Best of both worlds.
Anveraq stores observability context and policy state — not wallet permissions, private keys, or signing authority. If a data class isn't required to replay, evaluate, or explain event posture, it doesn't enter the default retention model.
Protocol ops design partners confirm replay is useful in real change review.
Scenario simulator · Alert policy builder · Operator consolePolicy packages and dossiers used in real production review by webhook and developer platform teams.
Replay engine · Delivery stress profiles · Incident dossierSeveral operators want common coverage and shared defaults across multi-tenant infrastructure.
Shared analytics · Governed policy packs · Retention controlsExternal parties rely on Anveraq evidence outside the original operator cohort.
External API · Export toolkit · Benchmark libraryEach phase clears four gates: replay outputs match real incidents, policy changes are explainable, dossiers reduce time-to-explanation, and costs align with product value.
Maintain the proposal process, publish treasury disclosures, and execute approved changes. Can trigger temporary rollback (4-of-5 vote, up to 30 days).
Review replay fidelity, cost impact, and operational usefulness before a vote opens.
Vote on governed objects affecting shared registries, retention tiers, or treasury use.
Private replay and policy evaluation work without ANQ. The token coordinates only genuinely shared surfaces.
680,000,000,000 ANQ total supply