Staking Pools

MindGrid staking pools form the economic backbone of the on-chain machine economy. Every deployed module is paired with its own isolated staking pool, establishing a direct and auditable connection between real-world software usage, capital allocation, and on-chain incentives.

Each pool is performance-driven, with rewards derived from the actual revenue a module generates in production rather than fixed token emissions. When users stake into a pool, a small, transparent access fee is routed directly to the module’s developer as compensation for building, maintaining, and supporting the software. This ensures developers are rewarded for real adoption.

As modules see increased usage and generate more revenue, their associated pools strengthen organically. Staking within MindGrid is therefore not inflationary or speculative by design, it is structured participation in live robotic infrastructure, where capital, developers, and deployed technology remain tightly aligned through measurable performance.

One Module → One Pool

Every module registered in the Module Registry automatically maps to a dedicated staking pool.

Module Registry
      |
      v
[ Module ID ]
      |
      v
Staking Pool (isolated)

This isolation ensures:

• No cross-subsidization between modules

• Transparent performance attribution

• Clean revenue accounting per deployment

Pool Creation Flow

Module Registered
        |
        v
Validation & Activation
        |
        v
Staking Pool Deployed
        |
        |-- Pool Parameters Set
        |     - Reward logic
        |     - Revenue feed
        |     - Stake limits
        |
        v
Pool Status = OPEN

Once live, the pool becomes the on-chain interface through which $MIND holders participate in that module’s economic activity.

Dynamic APY Model

APY is not pre-defined. It adjusts continuously based on real revenue inflows.

Module Usage
     |
     v
Revenue Generated (off-chain)
     |
     v
Revenue Accounting Interface
     |
     v
Staking Pool Balance Update
     |
     v
APY Recalculated

Key properties:

• Higher usage → higher rewards

• Lower usage → reduced yield

• No artificial emissions to prop underperforming modules

Staking & Reward Distribution

$MIND Holder
     |
     v
Stake into Pool (Module X)
     |
     v
Pool Accumulates Revenue
     |
     v
Rewards Distributed Pro-Rata
     |
     v
Claim or Compound

Rewards are allocated based on:

• Amount staked

• Duration of stake

• Pool revenue over time

Capital Efficiency & Risk Isolation

Each pool is economically self-contained:

Pool A (Vision Module)
   - Revenue: High
   - APY: High

Pool B (Speech Module)
   - Revenue: Moderate
   - APY: Moderate

This allows participants to:

• Allocate capital selectively

• Price risk correctly

• Build diversified exposure across robotic workloads

Pool Governance & Controls

Pools inherit protocol-level safeguards:

• Hard caps on stake concentration

• Emergency pause mechanisms

• Upgrade paths via governance (no silent changes)

Any modification to pool logic is:

Proposed → Voted → Executed

Why This Matters

Traditional robotics monetizes behind closed doors. MindGrid exposes performance, revenue, and incentives directly on-chain.

Staking pools turn robotic software into:

• Auditable infrastructure

• Yield-bearing assets

• Composable economic primitives

This is how real machines become part of a real on-chain economy.