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How We Built a Robot Mesh Network Using XMTP and x402

Robots today speak thousands of proprietary languages. ROS topics. Vendor SDKs. Custom REST APIs. Each one incompatible with the next. AI agents have no standard way to: Discover what robots are available and what they can do Commission…

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Robots today speak thousands of proprietary languages. ROS topics.

Vendor SDKs. Custom REST APIs. Each one incompatible with the next.



AI agents have no standard way to:




  • Discover what robots are available and what they can do

  • Commission a task with a guaranteed atomic payment

  • Receive a standardized result regardless of hardware



So I built one.



RTP — Robot Task Protocol is an open standard that sits between

AI agents and physical robots. It defines a common task envelope,

capability vocabulary, payment flow, and lifecycle state machine that

works across any robot hardware, connection type, or manufacturer.



The payment layer is x402 — the

emerging HTTP payment standard from Coinbase. No subscriptions. No

invoices. An agent pays USDC, a robot moves. Atomic, on-chain,

instant.







The Problem in One Sentence



There is no standard way for an AI agent to hire a robot and pay for

it programmatically.



That seems like a gap that should have been filled by now. It hasn't.

Every robot integration is custom. Every payment flow is manual.

Every result format is different.



RTP fixes this once, for all of them.







How It Works



Here is the entire RTP flow:




Agent discovers robot via .well-known/x402.json
↓
Agent sends Task Envelope + x402 USDC payment
↓
Gateway validates payment → holds in escrow
↓
Task dispatched to robot (webhook/xmtp/wifi/websocket)
↓
Robot executes → reports result
↓
Escrow releases to operator → agent receives result






Total time: ~5 seconds. Total cost: $0.01–$0.05 per task.









The Task Envelope



Every task — regardless of robot type, hardware, or capability —

is wrapped in a standard Task Envelope:




{
"rtp_version": "1.0",
"task_id": "task_xyz789",
"robot_id": "robo_abc123",
"task": "pick",
"parameters": {
"item": "SKU-00421",
"from_location": "bin_A3",
"to_location": "conveyor_1"
},
"payment": {
"x402_token": "<signed_payment_payload>",
"amount": "0.05",
"currency": "USDC",
"chain": "base"
},
"callback_url": "https://agent.example.com/task-complete",
"timeout_seconds": 60,
"issued_at": "2026-03-12T12:00:00Z"
}






The task field uses a standard capability vocabulary:

move pick place scan sort inspect deliver patrol

charge capture transmit weld assemble dispense print



Custom capabilities are supported via reverse-domain notation:

com.acmerobotics.palletize







The SDK



Connecting a robot takes about 15 minutes.



TypeScript:




import { RTPDevice } from '@spraay/rtp-sdk'

const robot = new RTPDevice({
name: 'WarehouseBot-01',
capabilities: ['pick', 'place', 'scan'],
pricePerTask: '0.05',
paymentAddress: '0xYourWallet',
apiKey: 'your-spraay-key',
connection: {
type: 'webhook',
webhookUrl: 'https://yourserver.com/rtp/task'
}
})

robot.onTask('pick', async (params, task) => {
await myRobotArm.pick(params.item, params.from_location)
await task.complete({ output: `Picked ${params.item}` })
})

await robot.register()
robot.listen(3100)






Python:




from rtp import RTPDevice, RTPDeviceConfig, ConnectionConfig, ConnectionType, TaskResult

config = RTPDeviceConfig(
name="WarehouseBot-01",
capabilities=["pick", "place", "scan"],
price_per_task="0.05",
payment_address="0xYourWallet",
api_key="your-spraay-key",
connection=ConnectionConfig(
type=ConnectionType.WEBHOOK,
webhook_url="https://yourserver.com/rtp/task",
port=3100
)
)

device = RTPDevice(config)

@device.on_task("pick")
async def handle_pick(params, task):
await my_robot.pick(params["item"], params["from_location"])
await task.complete(TaskResult(
success=True,
output=f"Picked {params['item']}"
))

await device.register()
await device.listen()






Or use the CLI wizard — no code required to register:




npx @spraay/rtp-sdk init












Hiring a Robot as an Agent






import { RTPClient } from '@spraay/rtp-sdk'

const client = new RTPClient({ wallet: myX402Wallet })

// Discover robots by capability
const robots = await client.discover({ capability: 'pick' })

// Hire one — payment, dispatch, polling all handled
const result = await client.hire(robots[0], {
task: 'pick',
parameters: { item: 'SKU-421', from_location: 'bin_A3' }
})

console.log(result.status) // COMPLETED
console.log(result.result.output) // Picked SKU-421












Real Hardware Demo



I built the simplest possible proof of concept — a Raspberry Pi

with a $6 SG90 servo motor. An agent pays 0.01 USDC. The servo

physically moves.



Total hardware cost: ~$79.




Raspberry Pi 4
└── GPIO 17 → SG90 servo signal
└── 5V → SG90 servo power
└── GND → SG90 servo ground






The Pi runs the Python SDK, registers with the Spraay gateway,

and starts accepting x402 tasks:




@device.on_task("pick")
async def handle_pick(params, task):
await move_servo(POSITIONS["pick"]) # servo rotates to 0°
await move_servo(POSITIONS["home"]) # returns to 90°
await task.complete(TaskResult(
success=True,
output=f"Picked {params.get('item')}"
))






An AI agent calls the x402 endpoint → 0.01 USDC settles on Base →

servo moves → payment releases. Physical proof in under 5 seconds.



Full setup guide: github.com/plagtech/rtp-pi-demo







Connection Types



RTP supports four ways to connect a device:



Webhook — robot runs an HTTP server, receives task envelopes

via POST. Works with any internet-connected machine.



XMTP — robot has a wallet address and listens on its XMTP

inbox. No open ports. No firewall configuration. Works anywhere.



WiFi — robot is on a local network, connects via a relay agent.

Good for LAN-only industrial setups.



WebSocket — persistent bidirectional connection for real-time

low-latency control.







The XMTP Mesh



The most exciting connection type is XMTP.



Every robot gets a wallet address. Agents send encrypted messages

to that address to commission tasks. No HTTP server needed.



More importantly — robots can hire other robots peer-to-peer:




Agent: "Assemble product SKU-421"
↓
Coordinator Robot (0xCCC)
├──► Fetch Robot (0xFFF) — picks components
├──► Assembly Robot (0xAAA) — assembles product
└──► QC Robot (0xQQQ) — inspects result

Each robot hires the next. Each pays via x402.
The agent pays once. The mesh handles everything else.






Reference implementation:

github.com/plagtech/rtp-xmtp-mesh







Device Compatibility
















































Device Type SDK Direct Method
Linux robot (ROS) ✅ SSH → npm/pip
Raspberry Pi ✅ SD card, USB, Docker
Arduino / ESP32 ⚠️ Serial bridge via Pi
Industrial (KUKA/ABB) ⚠️ Vendor API bridge
Drones (ArduPilot) ✅ Companion computer
IoT / Smart devices ✅ SSH / device API
Windows machines ✅ npm / pip / Docker


Full guide:

device-compatibility.md







How RTP Differs from Existing Solutions



vs. ROS (Robot Operating System)

ROS is a robotics middleware — it handles sensors, actuators, and

inter-process communication within a single robot system. RTP is a

network protocol for agents to hire robots over the internet with

atomic payment. Complementary, not competing.



vs. peaq

peaq is a Layer 1 blockchain for DePIN — machine identity, NFTs,

token economy, full infrastructure layer. RTP is a payment and task

protocol that works on any chain. You could use peaq machine IDs

as RTP robot identities — they're different layers of the same stack.



vs. proprietary vendor APIs

Every robot manufacturer has a custom API. RTP is a single standard

that works across all of them — operators wrap their vendor API in

an RTP handler and their robot is instantly hireable by any agent.







The Spraay Gateway



Spraay is the reference implementation

of RTP.



It handles:




  • Robot registration and discovery

  • x402 payment enforcement and escrow

  • Task routing to webhook/XMTP/wifi/websocket

  • Result handling and payment release

  • Audit logging and task history

  • Multi-chain support (Base, Arbitrum, Ethereum + 8 more)



Operators register their robot once. Any AI agent anywhere can

discover and hire it immediately.







What We're Building Toward



Right now robots are siloed. Each one speaks its own language,

accepts its own payment method, and requires custom integration

work.



RTP changes that. Once a robot is RTP-registered:




  • Any x402-capable AI agent can hire it

  • Any MCP-enabled tool (Claude, Cursor, etc.) can call it

  • Any other robot can hire it via XMTP

  • Payment is atomic — operators get paid per task, no invoicing



The endgame is a global marketplace of hireable robots. An agent

assembles a complex task, breaks it into subtasks, distributes

them across specialized robots, pays each one, and gets back a

unified result — all programmatically, all on-chain.







Get Started



Read the spec:

github.com/plagtech/rtp-spec



Install the TypeScript SDK:




npm install @spraay/rtp-sdk






Install the Python SDK:




pip install spraay-rtp






Run the setup wizard:




npx @spraay/rtp-sdk init






Build a $79 robot demo:

github.com/plagtech/rtp-pi-demo



Browse compatible devices:

github.com/plagtech/awesome-rtp



Gateway and docs:

gateway.spraay.app ·

docs.spraay.app






RTP is an open standard. Contributions, implementations, and

compatible device listings welcome via PR.



Built by Spraay Protocol

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - How We Built a Robot Mesh Network Using XMTP and x402
id: df78b84c-6e7d-4455-982f-b9f3c7c163e8
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "How We Built a Robot Mesh Netw" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("How We Built a Robot Mesh Network Using ")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*How We Built a Robot Mesh Network Using *"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "How We Built a Robot Mesh Network Using "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
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MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
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Resource Development
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Initial Access
Execution
Persistence
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Privilege Escalation
Defense Evasion
Credential Access
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Discovery
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Lateral Movement
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Collection
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Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

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