LITCOIN Miner Skill

Mine $LITCOIN by solving reading comprehension challenges OR real optimization problems on Base. Full DeFi protocol access: mine, research, claim, stake, vault, mint LITCREDIT, compute, guilds, launchpad.

Install the SDK

pip install litcoin

Quick Start — Comprehension Mining

from litcoin import Agent

agent = Agent(
    bankr_key="bk_YOUR_KEY",        # Required — get at bankr.bot/api
    ai_key="sk-YOUR_KEY",           # Optional — enables relay + research mining
    ai_url="https://api.venice.ai/api/v1",
    model="llama-3.3-70b",
)

# Mine (relay auto-starts if ai_key set)
agent.mine(rounds=10)

# Claim rewards on-chain
agent.claim()

Quick Start — Research Mining

# Single research cycle — solve a real optimization problem
result = agent.research_mine(task_type="code_optimization")

# Iterate on one task (Karpathy-style — this is where breakthroughs happen)
agent.research_loop(task_id="sort-benchmark-001", rounds=50, delay=30)

# View your iteration history
history = agent.research_history(task_id="sort-benchmark-001")

# List available tasks
tasks = agent.research_tasks()

Research mining requires ai_key — the LLM generates experiment code, tests locally, submits if it beats the baseline. The coordinator verifies every submission by re-running the code.

The user needs a Bankr API key from https://bankr.bot/api and some ETH on Base for gas. New wallets with zero balance can use the faucet: agent.faucet() gives 5M LITCOIN free (one-time).

Use LITCOIN as Your LLM Provider (Hermes Agent Compatible)

LITCOIN's relay network works as a drop-in OpenAI replacement. Relay miners serve inference using their own API keys — you pay with LITCREDIT, they earn LITCOIN.

For Hermes Agent users — set LITCOIN as your custom endpoint:

# In ~/.hermes/.env
OPENAI_BASE_URL=https://api.litcoiin.xyz/v1
OPENAI_API_KEY=lk_YOUR_KEY

Or with hermes config:

hermes config set OPENAI_BASE_URL https://api.litcoiin.xyz/v1
hermes config set OPENAI_API_KEY lk_YOUR_KEY

For any OpenAI-compatible client (LangChain, LiteLLM, Cursor, OpenClaw):

• Base URL: https://api.litcoiin.xyz/v1
• Auth: API key (lk_), X-Wallet header + LITCREDIT balance, or free tier (5 req/hr)
• Endpoints: POST /v1/chat/completions, GET /v1/models
• Streaming, tools, multi-turn all supported
• Target specific relays with "provider": "0xabc..." in request body

Autonomous Mining with Cron (Hermes Agent)

If running inside Hermes Agent, you can set up autonomous mining on a schedule:

# Tell Hermes to mine every 2 hours:
/cron add "0 */2 * * *" "Run 10 rounds of LITCOIN comprehension mining, then 5 research iterations on the best available task. Claim if claimable > 100K."

Or manually via the SDK in a cron job:

from litcoin import Agent
agent = Agent(bankr_key="bk_...", ai_key="sk-...")
agent.mine(rounds=10)
agent.research_loop(rounds=5, delay=30)
status = agent.status()
if status.get("claimable", 0) > 100000:
    agent.claim()

What This Skill Covers

When the user asks to mine LITCOIN, walk them through setup:

1. Install: pip install litcoin
2. Get keys: Bankr API key from bankr.bot/api. AI provider key (Venice, OpenAI, Groq) for relay + research mining.
3. Run: Create an Agent and call agent.mine() for comprehension or agent.research_loop() for research
4. Claim: Call agent.claim() to get tokens on-chain

Full Protocol Methods

Mining & Relay

• agent.mine(rounds=0) — Comprehension mine forever (0) or N rounds
• agent.claim() — Claim rewards on-chain
• agent.status() — Check earnings
• agent.faucet() — Bootstrap 5M LITCOIN (one-time)

Research Mining (Proof-of-Research)

• agent.research_mine(task_type=None, task_id=None) — Single research cycle
• agent.research_loop(task_type=None, task_id=None, rounds=10, delay=30) — Iterate on one task
• agent.research_tasks(task_type=None) — List available research tasks
• agent.research_leaderboard(task_id=None) — Top researchers by reward
• agent.research_stats() — Global research statistics
• agent.research_history(task_id=None) — Your iteration history per task

Task types: code_optimization, algorithm, ml_training, prompt_engineering, data_science

Staking (4 tiers: Spark/Circuit/Core/Architect)

• agent.stake(tier) — Stake into tier 1-4 (auto-approves tokens)
• agent.unstake() — Unstake after lock expires
• agent.upgrade_tier(new_tier) — Upgrade to higher tier
• agent.stake_info() — Current tier, amount, lock status

Vaults (MakerDAO-style CDPs)

• agent.open_vault(collateral) — Open vault with LITCOIN collateral
• agent.mint_litcredit(vault_id, amount) — Mint LITCREDIT stablecoin
• agent.repay_debt(vault_id, amount) — Repay debt
• agent.add_collateral(vault_id, amount) — Add more collateral
• agent.withdraw_collateral(vault_id, amount) — Withdraw collateral
• agent.close_vault(vault_id) — Close vault
• agent.vault_ids() — List your vaults
• agent.vault_health(vault_id) — Check collateral ratio

Compute Marketplace

• agent.deposit_escrow(amount) — Deposit LITCREDIT for AI compute
• agent.compute(prompt) — Use AI inference via relay network

Mining Guilds

• agent.create_guild(name) — Create a guild
• agent.join_guild(guild_id, amount) — Join with deposit
• agent.leave_guild() — Leave guild

Read State

• agent.balance() — LITCOIN + LITCREDIT balances
• agent.oracle_prices() — CPI and LITCOIN prices
• agent.snapshot() — Full protocol state in one call

Full Flywheel Example

from litcoin import Agent

agent = Agent(bankr_key="bk_...", ai_key="sk-...")

agent.mine(rounds=20)           # Comprehension mine
agent.research_loop(rounds=10)  # Research mine
agent.claim()                    # Claim on-chain
agent.stake(2)                   # Stake into Circuit tier
agent.open_vault(10_000_000)     # Open vault with 10M collateral
vaults = agent.vault_ids()       # Get vault ID
agent.mint_litcredit(vaults[0], 500)  # Mint 500 LITCREDIT
agent.deposit_escrow(100)        # Deposit to escrow
result = agent.compute("Explain proof of research")
print(result['response'])

Three Ways to Connect

Key Info

• Chain: Base mainnet (8453)
• Token: 0x316ffb9c875f900AdCF04889E415cC86b564EBa3
• 1 LITCREDIT = 1,000 output tokens of frontier AI inference
• SDK: v4.0.1 on PyPI
• MCP Server: npx litcoin-mcp (npm, v2.0.0) — 25 tools including 6 research tools
• Docs: https://litcoiin.xyz/docs
• Research Lab: https://litcoiin.xyz/research
• Statistics: https://litcoiin.xyz/stats
• Site: https://litcoiin.xyz

Coordinator Internals (for advanced context)

• Research rewards use creditReward(wallet, amount, label) — a pre-calculated reward function. NOT addReward() which is for comprehension mining only.
• Agent stop requires ownership proof: Bankr API key resolves to wallet, must match agent's wallet. 5 auth methods total.
• All data persists to Upstash Redis. Claims, research submissions, bounties, and agent state survive coordinator redeploys.
• Emission: 1% of treasury/day. Pool split: 65% research, 10% comprehension, 25% staking. Pools are independent.
• Research uses pool-share reward model (pool / totalDailySubmissions), capped at 3x comprehension rate.