Testnet Phase #4

Phase #4 turns Phase #3’s foundation into a more production-shaped pipeline — locking the full end-to-end scope, deepening stress testing, and starting real implementation work on Portal V1 as the product layer on top of Cortensor. This phase treats data management → inference quality → routing behavior → payments/quotas as one connected system, while also preparing Mainnet Lite infra so execution is not blocked later.


Phase 4 — E2E Hardening, Stress Tests & Portal V1 Productization

Timeline: Early Q2 → Mid Q2 2026 Goal: Lock an end-to-end test plan, validate reliability under stress, and begin Portal V1 implementation as a real product boundary. Focus: End-to-end stability, stress-tested quality paths, and production-ready product surfaces.


Contest Rules

Stake Requirement

  • All participants must stake 10,000 $COR per node (Pool 3) to qualify for Testnet Phase #4.

  • Nodes must remain staked and active throughout the testing window to receive rewards.

Node Uptime & Performance

Operators must:

  • Maintain continuous uptime and responsiveness to assigned sessions.

  • Support higher sustained throughput and longer-running stress tests.

  • Handle data-management + offchain flows (where enabled) without breaking telemetry.

  • Ensure correct registration + telemetry sync in the primary environments used for Phase #4 testing:

    • Testnet-0 (Arbitrum Sepolia)

    • Testnet-1a (Self-managed COR L3)

Participation & Reporting

Participants are expected to:

  • Report end-to-end failures (pipeline breaks), not just single-module bugs.

  • Help validate stress test results: latency spikes, failure modes, recovery behavior, and data integrity.

  • Provide structured logs + feedback via Discord reporting channels.

Disqualification Criteria

Cortensor reserves the right to disqualify any operator for:

  • Misreporting uptime or falsifying telemetry data.

  • Exploiting rewards, routing, or load-test mechanics.

  • Any conduct or manipulation that undermines testing fairness or network stability.


Rewards

  • Rewards follow the same structure as Phase #3, unless explicitly updated in the Phase #4 announcement.

  • Phase #4 emphasis is less about new incentive mechanics and more about E2E reliability and production readiness.


Testing Focus

1) E2E Scope Lock (Phase #3 → Phase #4)

Phase #4 starts by locking the full end-to-end plan based on what Phase #3 surfaced:

  • Finalize the full E2E test plan (what we test, in what order, and how we measure success).

  • Treat data management → inference quality → routing behavior as one connected pipeline, not isolated modules.

  • Define clear pass/fail metrics for:

    • throughput + latency baselines

    • error classes and recovery time

    • scoring drift and consensus stability

    • data integrity + offchain correctness (when enabled)

2) Deeper Stress Testing (Data → Quality Path)

Plan heavier load tests across the “data to quality” path:

  • Run longer-duration, higher-volume tests that intentionally hit failure conditions:

    • miner churn, partial outages, RPC degradation, queue spikes

  • Validate reliability under sustained throughput and real failure/retry patterns.

  • Focus on stability of:

    • routing behavior under load

    • validator throughput and queue health

    • aggregation/consensus correctness under disagreement

3) Privacy + Offchain Storage Stress Tests (Optional / Heavier)

Privacy can be treated as an optional lane, but Phase #4 stress tests it more directly where enabled:

  • Plan heavier load tests across:

    • privacy flows (three-party encryption paths)

    • offchain storage (inputs/outputs, result URNs, retrieval correctness)

    • data-management edge cases (timeouts, retries, stale keys, partial writes)

  • Goal: validate privacy/offchain overhead and failure handling under real throughput.

4) SLA / Quality Signals – Deeper Validation (#3 Signals)

Phase #4 continues evolving SLA-driven behavior:

  • Stress test SLA / quality signals under load and churn:

    • scoring drift detection

    • reliability weighting vs raw uptime

    • consensus disagreement rate + arbitration behavior

  • Validate that SLA signals remain usable at scale (not just in clean conditions).

5) Portal V1 (Design → Early Implementation) + Backend Product Boundary

Portal V1 becomes a core Phase #4 track as a real product layer:

  • Implement Portal V1 surfaces in parallel with planning so it does not remain “just docs”.

  • Define the product boundary clearly:

    • customer app → Portal backend → router pool → sessions

  • Core Portal goals:

    • API keys issuance and management

    • usage visibility (requests, spend, quotas)

    • managed router pools (customers don’t touch raw routers)

  • Plan backend business logic early so implementation stays clean:

    • auth strategy + organization/user mapping

    • gateway verification (key validation, quotas, rate limits)

    • request normalization and response normalization

    • billing hooks + usage event emission/metering

  • Keep separation of concerns crisp:

    • Portal owns product logic

    • Router owns execution + routing primitives

    • Sessions remain the decentralized execution contract

6) PyClaw (Early Dev Release Track)

PyClaw becomes a more concrete track in Phase #4 — moving from “design only” into an early development release:

  • Ship the initial public-facing layer:

    • landing page

    • initial docs / structure

  • Begin early implementation iteration aligned with router/session primitives:

    • local-first runtime scaffolding

    • minimal agent loop + audit trail foundation

    • clear mapping to router surfaces (completion/delegate/validate/factcheck)

  • Goal: make PyClaw tangible and testable as a product layer on top of Cortensor, while keeping scope controlled.

7) Mainnet Lite Infra Planning (Execution Readiness)

Prepare Mainnet Lite infra so Phase #4 doesn’t end as “just testing”:

  • Plan Mainnet Lite-related infra:

    • servers, RPC, monitoring, alerting, ops

  • Evaluate redundancy, performance, and cost tradeoffs before execution.

  • Validate runbooks and operational posture under realistic failure scenarios.


Key Outcomes

By the end of Phase #4, Cortensor should achieve:

  • A locked end-to-end test plan with clear success metrics.

  • Stress-tested stability across the connected pipeline:

    • data management → quality → routing behavior

  • Stronger confidence in privacy/offchain lanes (where enabled) under load.

  • Portal V1 moved from “design only” into early implementation, with product boundary clearly defined.

  • PyClaw moved into an early dev release state (landing page + docs + initial implementation scaffolding).

  • Mainnet Lite infra planning mature enough to execute without major blockers.


Outcome Statement

Testnet Phase #4 is about turning the Phase #3 foundation into a production-shaped pipeline — stronger end-to-end reliability, stress-tested quality paths, a real Portal V1 product surface, and infrastructure planning that can scale into Mainnet Lite.

Join Cortensor Discord: https://discord.gg/cortensor

Last updated