MinActivityCutoff

Storage Plain v247 → current

Minimum activity required for neurons to remain registered.

Queried by: validatorsminerssubnet owners

The Big Picture

Subnets can set activity requirements to keep neurons engaged. Neurons that fall below this threshold become candidates for pruning, freeing up slots for more active participants.

Use Cases

Check deregistration threshold for a subnet
Ensure activity level meets minimum requirements
Monitor subnet activity requirements

Purpose & Usage

Purpose

Threshold below which inactive neurons can be deregistered.

Common Query Patterns

Query by netuid
Check current activity threshold

Stored Value

u16

value (u16)

Code Examples

import { ApiPromise, WsProvider } from "@polkadot/api";
import { stringCamelCase } from "@polkadot/util";

const provider = new WsProvider("wss://entrypoint-finney.opentensor.ai:443");
const api = await ApiPromise.create({ provider });

// Query MinActivityCutoff storage (no keys - plain value)
const result = await api.query
  [stringCamelCase("SubtensorModule")]
  [stringCamelCase("MinActivityCutoff")]();
console.log("MinActivityCutoff:", result.toHuman());

Runtime Info

View Source

Pallet: SubtensorModule
Storage Kind: Plain
First Version: v247
Current Version: v393

Back to SubtensorModule Storage