diff --git a/PiRC3/micron_standard.md b/PiRC3/micron_standard.md
new file mode 100644
index 000000000..d791dec7a
--- /dev/null
+++ b/PiRC3/micron_standard.md
@@ -0,0 +1,30 @@
+
+
+
+
+1. Abstract & Motivation
+- The Problem: Unit bias and high fraction readability in small transactions. Human users and automated IoT agents/AI pipelines (like DIMO telemetry or OpenMind robotics) struggle with or introduce rounding errors when calculating fractional micro-fees (e.g., 0.000005 π) using floating-point decimals.
+
+
+
+
+- The Solution: Establish native micron-scale integer precision where 1 mined π is programmatically subdivided into 1,000,000 base units. This allows developer SDKs, smart contracts, and M2M payment rails to execute automated micro-tasks using clean whole integers without introducing foreign token tickers or secondary labels.
+
+2. Core Technical Specification
+- Base Denomination Scaling: Standardize integer-based parsing in the SDK:
+ 1 π = 1,000,000 base integer units (leveraging micron-scale precision)
+
+
+
+- M2M Execution Formula: Standardize dynamic compute, gas, and API pricing for automated services using integer math:
+ Cost = Σ (t_i × base_unit_rate)
+- Developer Utility: Pi App Studio dApps and Soroban smart contracts parse gas, telemetry logs, and micro-subscriptions natively as integers, eliminating floating-point rounding vulnerabilities.
+
+
+
+
+3. Network Stability & Economic Mechanics
+- Incentivizing Infrastructure: Align micro-transaction fee routing to directly reward node operators running continuous Docker environments, creating a self-sustaining feedback loop between active compute nodes and automated M2M service demand.
+- Decoupling from Fiat Volatility: By anchoring dApp micro-services to fixed integer base rates, internal utility pricing remains completely stable regardless of external exchange fluctuations.
+
+