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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

Stars

2 stars

Watchers

0 watching

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Packages

Used by

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

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2 stars

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

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51 Commits

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OpenGradient x402 Inference Facilitator

A fork of the x402 facilitator service customized for the OpenGradient network, with added support for LLM TEE (Trusted Execution Environment) inference settlement. This service handles payment verification and settlement for x402 payments, plus on-chain settlement of LLM inference input/output hashes for verifiable AI.

Overview

The facilitator provides three main endpoints:

  • /verify: Verifies x402 payment payloads
  • /settle: Settles x402 payments and records LLM inference hashes on-chain
  • /supported: Returns the payment kinds supported by the facilitator

LLM TEE Settlement

In addition to standard x402 payment settlement, this service supports settling LLM inference results from TEE environments. When an LLM inference is performed in a TEE, the input and output hashes are recorded on-chain via the Settlement contract, providing cryptographic proof of the inference.

Settlement types:

  • settle: Records input/output hash pair on-chain
  • settle-metadata: Records hashes with additional model info
  • settle-batch: Batches multiple settlements into a Merkle tree root (with tree data uploaded to Walrus)

Prerequisites

  • Node.js v20+ (install via nvm)
  • pnpm v10 (install via pnpm.io/installation)
  • A valid Ethereum private key (for OpenGradient devnet) and/or Solana private key
  • OpenGradient devnet tokens for transaction fees

Setup

  1. Install and build all packages:
pnpm install
pnpm build
  1. Create a .env file with the following variables:
# Required (at least one)EVM_PRIVATE_KEY=0xYourPrivateKeySVM_PRIVATE_KEY=base58EncodedSolanaPrivateKey# Required for LLM TEE settlementX402_SETTLEMENT_CONTRACT=0xYourSettlementContractAddress# OptionalPORT=3000SVM_RPC_URL=https://custom-solana-rpc.com# Optional: Enable async queue processingREDIS_HOST=localhostREDIS_PORT=6379# Optional: Batch settlement configSETTLEMENT_BATCH_SIZE=20SETTLEMENT_BATCH_TIMEOUT=60000WALRUS_PUBLISHER_URL=http://localhost:9002/v1/blobs# Optional: Push aggregate inference usage to the same Supabase RPC/table as chat APIUSAGE_SUPABASE_URL=https://your-project.supabase.coUSAGE_SUPABASE_SERVICE_ROLE_KEY=your-service-role-keyUSAGE_SUPABASE_RPC=record_ohttp_usage# Set to false to disable the Supabase sink while keeping Redis usage rollupsUSAGE_SUPABASE_ENABLED=true# Optional: Individual settlement queue/signingDATA_SETTLEMENT_INDIVIDUAL_QUEUE_NAME=x402-settle-data-individual-queue-v1DATA_INDIVIDUAL_WORKER_EVM_PRIVATE_KEY=0xDedicatedIndividualSettlementKeyDATA_INDIVIDUAL_SETTLEMENT_NONCE_KEY=x402:data-settlement:individual:nonceWALRUS_NETWORK=testnetSUI_RPC_URL=https://fullnode.testnet.sui.io:443
  1. Start the server:
pnpm dev

The server will start on http://localhost:3000

API Endpoints

GET /supported

Returns information about the payment kinds that the facilitator supports.

Sample Response

{"kinds": [{"x402Version": 1,"scheme": "exact","network": "og-devnet"},{"x402Version": 1,"scheme": "exact","network": "solana-devnet","extra": {"feePayer": "SolanaAddress"}}]}

GET /verify

Returns information about the verify endpoint.

POST /verify

Verifies an x402 payment payload.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

GET /settle

Returns information about the settle endpoint.

POST /settle

Settles an x402 payment by signing and broadcasting the transaction. For LLM TEE inference settlement, include additional headers.

Request body:

{
paymentPayload: PaymentPayload;
paymentRequirements: PaymentRequirements;}

Optional headers for LLM TEE settlement:

  • x-input-hash: Hash of the LLM inference input
  • x-output-hash: Hash of the LLM inference output
  • x-settlement-type: Settlement type (settle, settle-metadata, or settle-batch)

Architecture

Async Queue Processing

When Redis is configured, settlement requests are queued and processed asynchronously by a worker. This enables:

  • Non-blocking API responses
  • Batch settlement of multiple inference results into a single Merkle tree
  • Automatic upload of batch data to Walrus for data availability

Settlement Contract

The SettlementRelay contract (contracts/settlement.sol) emits events for:

  • Settlement(inputHash, outputHash) - Single inference settlement
  • SettlementWithMetadata(inputHash, outputHash, modelInfo, inputData, outputData) - Settlement with model metadata
  • BatchSettlement(merkleRoot, batchSize) - Batched settlements via Merkle root

Supported Networks

  • EVM: og-devnet (OpenGradient devnet, chain ID: 10744)
  • SVM: solana-devnet

Resources

About

x402 LLM Inference Facilitator Service for the OpenGradient Network

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages