jito-bundles

Q: How do I install jito-bundles?

Run npx skills add https://github.com/agiprolabs/claude-trading-skills --skill jito-bundles in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/jito-bundles/ (personal) or .claude/skills/jito-bundles/ (project).

Q: Which AI agents can use jito-bundles?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Q: Is jito-bundles safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Q: Who maintains jito-bundles?

It is published by agiprolabs in agiprolabs/claude-trading-skills. It has 436 recorded installs.

by agiprolabsBusiness & Finance

Jito bundle submission for MEV protection on Solana — bundle building, tip strategies, block engine endpoints, and landing rate optimization

Installs: 436
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/agiprolabs/claude-trading-skills --skill jito-bundles

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads jito-bundles automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Jito Bundle Submission for Solana

Jito bundles allow you to submit up to 5 Solana transactions that execute atomically — either all land in the same slot or none do. This is the primary mechanism for MEV protection and competitive transaction execution on Solana. Approximately 85%+ of Solana validators run the Jito-modified client, making bundles the standard for reliable, front-run-resistant execution.

EXECUTION SKILL — SAFETY WARNING: Submitting bundles spends real SOL on tips. Always test with --demo mode first. Never submit bundles with real funds without explicit confirmation. Default to simulation/dry-run in all scripts and examples.

When to Use Bundles

Scenario	Use Bundle?	Why
Swap on illiquid token	Yes	Prevents sandwich attacks
Multi-step arbitrage	Yes	Atomic execution prevents partial fills
Liquidation	Yes	Competitive — tip determines priority
Simple SOL transfer	No	Priority fees are cheaper and sufficient
Time-insensitive swap	Maybe	Bundles cost tips; priority fees may suffice
NFT mint / competitive action	Yes	Guarantees ordering within the slot

Core Concepts

Bundle Anatomy

A Jito bundle is a JSON-RPC request containing 1-5 base58-encoded signed transactions. The transactions execute sequentially and atomically within a single slot.

Bundle = [Tx1, Tx2, ..., TxN]  (N <= 5)

- All transactions must be signed
- Transactions execute in order: Tx1 → Tx2 → ... → TxN
- If ANY transaction fails, the ENTIRE bundle is dropped
- The tip instruction goes in the LAST transaction (last instruction)
- Bundle has ~2 slots (~800ms) to land before expiry

Tip Mechanism

Tips are SOL transfers to one of Jito's 8 tip accounts. The tip incentivizes validators to include your bundle.

# Tip is a standard SOL transfer instruction
tip_instruction = transfer(
    from_pubkey=your_wallet,
    to_pubkey=tip_account,      # One of 8 Jito tip accounts
    lamports=tip_amount          # Tip in lamports (1 SOL = 1e9 lamports)
)
# Add as the LAST instruction of the LAST transaction in the bundle

Tip accounts are fetched dynamically via getTipAccounts. Rotate through them to distribute load.

Block Engine Endpoints

Jito operates geographically distributed block engines. Choose the one closest to your infrastructure:

Region	Endpoint
New York	`https://mainnet.block-engine.jito.wtf`
Amsterdam	`https://amsterdam.block-engine.jito.wtf`
Frankfurt	`https://frankfurt.block-engine.jito.wtf`
Tokyo	`https://tokyo.block-engine.jito.wtf`

All endpoints accept JSON-RPC over HTTPS on port 443. The /api/v1/bundles path handles bundle operations.

API Methods

sendBundle

Submit a bundle of up to 5 transactions.

import httpx

BLOCK_ENGINE = "https://mainnet.block-engine.jito.wtf"

payload = {
    "jsonrpc": "2.0",
    "id": 1,
    "method": "sendBundle",
    "params": [
        [tx1_base58, tx2_base58],  # List of base58-encoded signed txs
    ]
}

resp = httpx.post(f"{BLOCK_ENGINE}/api/v1/bundles", json=payload)
data = resp.json()
bundle_id = data["result"]  # UUID string

getBundleStatuses

Check the landing status of submitted bundles (up to 5 bundle IDs per request).

payload = {
    "jsonrpc": "2.0",
    "id": 1,
    "method": "getBundleStatuses",
    "params": [[bundle_id]]
}
resp = httpx.post(f"{BLOCK_ENGINE}/api/v1/bundles", json=payload)
statuses = resp.json()["result"]["value"]
# Each status: {bundle_id, status, slot, transactions: [{signature, ...}]}
# status: "Invalid", "Pending", "Failed", "Landed"

getTipAccounts

Fetch the current list of Jito tip accounts.

payload = {
    "jsonrpc": "2.0",
    "id": 1,
    "method": "getTipAccounts",
    "params": []
}
resp = httpx.post(f"{BLOCK_ENGINE}/api/v1/bundles", json=payload)
tip_accounts = resp.json()["result"]  # List of 8 base58 pubkeys

getInflightBundleStatuses

Check status of bundles that haven't landed yet (in-flight).

payload = {
    "jsonrpc": "2.0",
    "id": 1,
    "method": "getInflightBundleStatuses",
    "params": [[bundle_id]]
}
resp = httpx.post(f"{BLOCK_ENGINE}/api/v1/bundles", json=payload)
# status: "Pending", "Failed", "Landed"

Bundle Construction Pattern

A typical bundle for a protected swap:

from solders.transaction import VersionedTransaction
from solders.message import MessageV0
from solders.instruction import Instruction
from solders.system_program import transfer, TransferParams
from solders.pubkey import Pubkey
import random

def build_protected_swap_bundle(
    swap_ix: Instruction,
    payer: Pubkey,
    tip_lamports: int,
    tip_accounts: list[str],
    recent_blockhash: str,
) -> list[VersionedTransaction]:
    """Build a 1-tx bundle: swap + tip in the same transaction.

    For simple swaps, a single-transaction bundle is sufficient.
    The tip instruction is appended as the last instruction.
    """
    # Pick a random tip account
    tip_account = Pubkey.from_string(random.choice(tip_accounts))

    # Tip instruction
    tip_ix = transfer(TransferParams(
        from_pubkey=payer,
        to_pubkey=tip_account,
        lamports=tip_lamports,
    ))

    # Build transaction with swap + tip
    msg = MessageV0.try_compile(
        payer=payer,
        instructions=[swap_ix, tip_ix],
        address_lookup_table_accounts=[],
        recent_blockhash=recent_blockhash,
    )
    tx = VersionedTransaction(msg, [keypair])
    return [tx]

Tip Sizing Guide

Scenario	Tip Range (lamports)	Tip Range (SOL)
Normal swap (low urgency)	1,000 - 10,000	0.000001 - 0.00001
Normal swap (standard)	10,000 - 50,000	0.00001 - 0.00005
Competitive action (arb, liquidation)	50,000 - 500,000	0.00005 - 0.0005
Highly competitive (NFT mint, MEV)	500,000 - 5,000,000	0.0005 - 0.005
Emergency (must land this slot)	5,000,000+	0.005+

Dynamic tip calculation based on recent tip levels:

def calculate_dynamic_tip(
    base_tip: int = 10_000,
    urgency_multiplier: float = 1.0,
    recent_tip_percentile_50: int = 15_000,
) -> int:
    """Calculate tip based on urgency and recent network tips.

    Args:
        base_tip: Minimum tip in lamports.
        urgency_multiplier: 1.0 = normal, 2.0 = urgent, 5.0 = critical.
        recent_tip_percentile_50: Median tip from recent bundles.

    Returns:
        Tip amount in lamports.
    """
    dynamic_tip = max(base_tip, int(recent_tip_percentile_50 * urgency_multiplier))
    # Cap at 0.01 SOL to prevent accidents
    return min(dynamic_tip, 10_000_000)

Common Errors and Fixes

Error	Cause	Fix
`Bundle dropped (slot expired)`	Bundle didn't land within 2 slots	Retry with fresh blockhash; consider higher tip
`Transaction simulation failed`	A tx in the bundle would fail on-chain	Simulate each tx individually to find the failing one
`Bundle already processed`	Duplicate bundle ID	Expected on retry; check status instead
`Rate limited`	Too many requests to block engine	Back off; rotate between block engine endpoints
`Invalid transaction`	Malformed or unsigned transaction	Verify all txs are signed and base58-encoded
`Blockhash not found`	Stale blockhash	Use `getLatestBlockhash` with `finalized` commitment

Landing Rate Optimization

Strategies to maximize bundle landing probability:

Multi-region submission: Send the same bundle to multiple block engines simultaneously. The first to reach the current leader wins.
Fresh blockhash: Use getLatestBlockhash with confirmed commitment immediately before building. Stale blockhashes are the #1 cause of dropped bundles.
Retry with backoff: If a bundle doesn't land within 2-3 seconds, rebuild with a fresh blockhash and resubmit. Do NOT resubmit with the same blockhash.
Adequate tipping: Under-tipped bundles are deprioritized. Monitor the network's tip distribution and tip at or above the 50th percentile for your urgency level.
Minimal bundle size: Fewer transactions = less simulation time = higher landing rate. Use single-transaction bundles when possible.

async def submit_with_retry(
    bundle_txs: list[str],
    endpoints: list[str],
    max_retries: int = 3,
) -> str | None:
    """Submit bundle to multiple endpoints with retry logic.

    Returns bundle_id if submitted, None if all retries exhausted.
    """
    for attempt in range(max_retries):
        # Submit to all endpoints in parallel
        async with httpx.AsyncClient() as client:
            tasks = [
                client.post(
                    f"{ep}/api/v1/bundles",
                    json={
                        "jsonrpc": "2.0", "id": 1,
                        "method": "sendBundle",
                        "params": [bundle_txs],
                    },
                    timeout=5.0,
                )
                for ep in endpoints
            ]
            # Process first successful response
            for resp in asyncio.as_completed(tasks):
                result = (await resp).json()
                if "result" in result:
                    return result["result"]

        # Wait before retry with fresh blockhash
        await asyncio.sleep(0.5 * (attempt + 1))
    return None

Safety Checklist (Execution)

Before submitting any bundle with real funds:

Simulated all transactions individually via simulateTransaction
Verified tip amount is reasonable (not accidentally SOL instead of lamports)
Confirmed blockhash is fresh (< 60 seconds old)
Verified all transactions are properly signed
Checked wallet balance covers all transaction costs + tip
Tested with devnet or --demo mode first
Set maximum tip cap to prevent accidental overpayment

Files

References

references/bundle_api.md — Complete JSON-RPC API reference with request/response schemas and error codes
references/tip_strategies.md — Tip calculation strategies, dynamic tipping, cost optimization
references/best_practices.md — Bundle construction patterns, landing rate optimization, common pitfalls

Scripts

scripts/build_bundle.py — Bundle construction with tip instruction; --demo mode builds but does not submit
scripts/check_bundle_status.py — Bundle status checking and tip account fetching; --demo mode uses mock responses

FAQ

What does the jito-bundles skill do?

Jito bundle submission for MEV protection on Solana — bundle building, tip strategies, block engine endpoints, and landing rate optimization

How do I install jito-bundles?

Run npx skills add https://github.com/agiprolabs/claude-trading-skills --skill jito-bundles in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/jito-bundles/ (personal) or .claude/skills/jito-bundles/ (project).

Which AI agents can use jito-bundles?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is jito-bundles safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains jito-bundles?

It is published by agiprolabs in agiprolabs/claude-trading-skills. It has 436 recorded installs.

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jito-bundles

Install

Install

Describe the task

Review the result

SKILL.md

Jito Bundle Submission for Solana

When to Use Bundles

Core Concepts

Bundle Anatomy

Tip Mechanism

Block Engine Endpoints

API Methods

sendBundle

getBundleStatuses

getTipAccounts

getInflightBundleStatuses

Bundle Construction Pattern

Tip Sizing Guide

Common Errors and Fixes

Landing Rate Optimization

Safety Checklist (Execution)

Files

References

Scripts

FAQ

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