MinActivityCutoff

Storage Plain v247 → v411

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 { createClient, Binary } from "polkadot-api";
import { getWsProvider } from "polkadot-api/ws";
import { sub } from "@polkadot-api/descriptors"; // generated by: npx papi add sub -w wss://entrypoint-finney.opentensor.ai:443

const client = createClient(getWsProvider("wss://entrypoint-finney.opentensor.ai:443"));
const api = client.getTypedApi(sub);

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

Version History

Version:

v247 block 5,109,371 Added

v278–v289 · runtime versions skipped on chain (never deployed)

v290 block 5,947,548 Internal re-bind Current

Runtime Info

View Source

Pallet: SubtensorModule
Storage Kind: Plain
First Version: v247
Current Version: v411

Back to SubtensorModule Storage