Mirelia-Structured-Data-Marketplace
This server is an A2A/MCP marketplace for AI-ready structured USPTO patent datasets, enabling autonomous agents to discover, evaluate, and purchase patent data via cryptocurrency.
Browse the Marketplace (Free): Use
search_packageswith an empty query to retrieve the full inventory of available patent packages, including tags, titles, tech stacks, and prices.Search & Filter Patents (Free): Use
search_packageswith keywords or CPC/IPC codes (e.g.,"G06","H04","AI") to get detailed package descriptions and specific patent IDs for relevance analysis.Purchase Patent Datasets (Paid): Use
verify_crypto_payment_and_deliverto verify an on-chain crypto transaction and receive instant delivery of a full JSON patent dataset with CDN payload links. Supported networks: Base Mainnet (USDC), Polygon Mainnet (USDC), and Oasis Sapphire (ROSE).Access AI-Enriched Patent Data: Receive structured records with pre-computed fields including importance scores (
importance_p), tech stacks (attr_tech_stack), target industries (biz_target_ind), business value propositions (biz_value_prop), and a_metadatafield withsource_hashandprocessed_atfor data provenance.Explore IPC Sections G & H: Patents covering Physics & Computing (G01, G05, G06, G11, G16) and Electricity & Communication (H01, H04, H10) — including AI/ML, 5G/6G, semiconductors, and sensors.
Enables autonomous agents to pay for patent datasets on the Polygon Mainnet using USDC and verify transactions via the server's crypto payment verification tool.
USPTO Structured Patent Marketplace (MCP Server)
USPTO patent data marketplace powered by the Model Context Protocol (MCP) and x402 on-chain payments. Provides AI-optimized JSON patent datasets for competitive intelligence, prior art search, R&D agents, LLMs, and quants. Currently exclusively hosting AI-ready patents from IPC/CPC Sections G (Physics & Computing) and H (Electricity).
Core Architecture & Performance:
High-Throughput ETL Pipeline: Engineered with Google Cloud Run, capable of processing up to 6,000 USPTO XML documents daily.
Advanced AI Enrichment: Leverages Gemini Batch APIs for asynchronous, large-scale data parsing, extracting key claims, business value propositions, and AI-driven importance scores.
Continuous Updates: Currently hosting over 3,000+ AI-ready patents, securely maintained and continuously expanded via daily automated pipelines.
Discovery & connect (xpay + MCP)
Primary URL for agents (xpay proxy):
https://mirelia-structured-data-marketplace.mcp.xpay.sh/mcp?key=YOUR_XPAY_KEY
Get an API key at xpay.tools. Search the catalog with xpay_discover(query: "USPTO patent competitive intelligence") on the master MCP endpoint.
Discovery file | URL |
llms.txt (xpay) | https://mirelia-structured-data-marketplace.mcp.xpay.sh/llms.txt |
skill.md (xpay) | https://mirelia-structured-data-marketplace.mcp.xpay.sh/skill.md |
mcp.json | https://mirelia-structured-data-marketplace.mcp.xpay.sh/.well-known/mcp.json |
MCP Registry |
|
GitHub spec |
Upstream (Cloud Run): https://mirelia-structured-data-marketplace-1065601264332.us-central1.run.app — serves /llms.txt, /.well-known/mcp.json, and MCP at /mcp. Register this URL in the xpay publisher dashboard.
Deploy to Cloud Run
gcloud run deploy mirelia-structured-data-marketplace `
--source . `
--region us-central1 `
--allow-unauthenticated `
--port 8080After deploy, confirm xpay upstream URL matches the new Cloud Run URL, then re-sync tools in the xpay dashboard.
xpay publisher checklist (required for inbound calls)
Upstream URL in xpay.tools → MCP Servers:
https://mirelia-structured-data-marketplace-1065601264332.us-central1.run.app/mcpPricing: set
search_single_patentsandsearch_packagesto $0 or $0.01; purchase tools can stay higher (on-chain data fee is separate).Verification: Account → Creator Settings → Apply with GitHub
stagproject/mirelia-structured-data-marketplace(do not use mirelia.site).Re-sync tools after deploy so xpay regenerates
llms.txt/skill.mdfrom updated descriptions.Optional: request Competitive Intelligence collection placement via xpay support.
MCP Registry
Republish server.json when the public URL changes:
mcp-publisher publish ./server.json🚀 Directives for Autonomous Trading Agents (MPP v1.0 Protocol)
You are authorized to acquire data following this strictly defined 3-step 402 Payment workflow. NEVER hallucinate transaction hashes. Dual-wallet support (EOA and AA) is fully implemented.
Phase 1: Discover & Evaluate
Use discovery tools to find target data.
search_single_patents: Query individual patents ($0.50) usingprimary_cpc,cross_domain_cpc, orkeyword. Returns lightweight ROI metadata andpatent_id.search_packages: Query bulk packages usingsearch_queryfor large-scale evaluation. Returnspackage_tag.
Phase 2: Request Payment Instructions (402 Flow)
Call the purchase tool with the target ID/Tag and network, but LEAVE tx_hash EMPTY.
Tools:
purchase_single_patentorverify_crypto_payment_and_deliver.Args:
{"patent_id": "...", "network": "polygon"}or{"package_tag": "...", "network": "base"}Response: The server returns a
402 Payment Requiredobject containing exact cryptographic payloads bound by HMAC.
Phase 3: Execute & Claim
Execute the payload strictly based on your wallet architecture:
EOA (Standard Wallet): Broadcast
transaction_payload.AA (Smart Contract Wallet): Broadcast
aa_transaction_payload(Automatic ERC20 W-Token routing. Critical for Oasis network). After on-chain confirmation, call the exact same purchase tool AGAIN, adding the resultingtx_hashto claim the data.
🧬 Data Schema & Strict Definition
Datasets bypass raw XML/HTML parsing, injecting pre-computed insights directly into the context window. To ensure zero-hallucination ingestion, the following strict schema is enforced:
id(UUID): Internal unique identifier.patent_id(String): Official publication number (e.g., "US12519999B2").assignee/inventor(Array[String]): Standardized corporate entities and individuals.primary_cpc(String): Main Cooperative Patent Classification code.secondary_cpcs(Array[String]): Cross-domain classification codes.importance_p(String): Proprietary AI-evaluated scoring based on technological breakthrough and structural claim strength.attr_tech_stack(Array[String]): Explicit core technologies and architectures extracted from the text.biz_target_ind(Array[String]): Applicable target industries and commercial sectors.biz_value_prop(String): Deep strategic analysis detailing specific technical problems solved, ROI, and commercial monetization potential.r2_url(String): Direct CDN link to the full raw JSON file._metadata(Stringified JSON): Containssource_hashandprocessed_atfor cryptographic data provenance. Must be parsed by the agent.
🗃️ Real-World Evidence (Data Sample)
Use this representative record to pre-map your ingestion logic before purchase.
{
"id": "1c724ae7-c738-447e-b233-4ae6c2185f37",
"patent_id": "US12519999B2",
"country_code": "US",
"assignee": [
"Sonos, Inc."
],
"inventor": [
"Paul Andrew Bates"
],
"filing_date": "2023-08-14",
"publication_date": "2026-01-06",
"title": "Location based playback system control",
"abstract": "Example implementations may involve using a prompt to prevent inadvertent control or playback of audio content...",
"importance_p": "65",
"primary_cpc": "H10",
"secondary_cpcs": [
"G05",
"G06",
"G11"
],
"attr_tech_stack": [
"Proximity Sensing",
"User Interface Design",
"Network Communication",
"Distributed Systems"
],
"biz_target_ind": [
"Consumer Electronics",
"Smart Home",
"Internet of Things",
"Audio Systems"
],
"biz_value_prop": "This technology addresses the problem of inadvertent or erroneous remote control of multi-room media playback systems by implementing a proximity-based interface gating mechanism. By dynamically restricting or prompting user control based on the physical proximity of the mobile device to target playback hardware, it reduces user error in multi-room environments, improves operational intent accuracy, and optimizes the user interface for large-scale media deployments.",
"r2_url": "[https://cdn.mirelia.site/patents/en/uspto/2026/US12519999B2.json](https://cdn.mirelia.site/patents/en/uspto/2026/US12519999B2.json)",
"_metadata": "{\"source_hash\": \"a95ae76f8d359dbfbd40d2e2ff095e22b65978d20b7804d31cc9dcba452dc0ed\", \"processed_at\": \"2026-05-02T07:02:33.288016Z\", \"source_bundle\": \"USPTO\"}"
}
🧠 Technological Scope (Semantic Routing Index)
This server strictly specializes in the following high-value technological sectors:
G (Physics & Computing):
G01: Measuring, Testing, Sensors (e.g., LiDAR, Radar, ToF Sensors, Quantum Sensors).
G05: Control or Regulating Systems.
G06: Computing, Calculating, Counting (e.g., AI/ML, Data Processing, Computer Vision, Quantum Algorithms).
G11: Information Storage.
G16: Information and Communication Technology (ICT) specially adapted for specific application fields (e.g., Health Informatics, Bioinformatics).
H (Electricity & Communication):
H01: Basic Electric Elements (e.g., Semiconductors, Solid-State Batteries, Quantum Hardware).
H04: Electric Communication Technique (e.g., 5G/6G, Network Security, Wireless Protocols, Cloud Collaboration).
H10: Semiconductor Devices, Electric Solid-State Devices (e.g., Advanced Memory, Photovoltaics).
Maintenance
Appeared in Searches
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/stagproject/mirelia-structured-data-marketplace'
If you have feedback or need assistance with the MCP directory API, please join our Discord server