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ntriq-agentshop

ntriq-agentshop

by daehwan-k
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

ntriq AgentShop — AI Data Services via x402 Micropayments

AI-powered data intelligence endpoints with pay-per-use pricing via x402 micropayments (USDC on Base). No API keys, no subscriptions, no rate limits. AI agents pay only for what they use. 100% local inference — zero external API calls.

Services (11 types × 2 pricing tiers = 22 endpoints)

Vision Services (Image Input)

Service

Endpoint

Single

Batch (max 500)

Alt Text

/alt-text

$0.01

/alt-text-batch $3.00

Document Intel

/document-intel

$0.05

/document-intel-batch $15.00

Invoice Extract

/invoice-extract

$0.03

/invoice-extract-batch $9.00

Screenshot Data

/screenshot-data

$0.02

/screenshot-data-batch $6.00

Blueprint

/blueprint

$0.05

/blueprint-batch $15.00

Text / NLP Services

Service

Endpoint

Single

Batch (max 500)

PII Detect

/pii-detect

$0.02

/pii-detect-batch $6.00

Sentiment

/sentiment

$0.01

/sentiment-batch $3.00

Content Generate

/content-generate

$0.02

/content-generate-batch $6.00

Compliance Check

/compliance-check

$0.03

/compliance-check-batch $9.00

Code Review

/code-review

$0.05

/code-review-batch $15.00

Phish Radar

/phish-radar

$0.03

/phish-radar-batch $9.00

How It Works

AI Agent
  │
  ▼  POST /alt-text
x402.ntriq.co.kr
  │
  ├─ 402 Payment Required ($0.01 USDC, Base mainnet)
  │
  ▼  Agent signs EIP-3009 (gasless) → retries with payment
  │
  ├─ Facilitator verifies payment
  │
  ▼  200 OK + JSON result
  │
Mac Mini (local Qwen2.5-VL / Qwen2.5:7b)
  └─ 100% local inference, zero external API calls

Payment protocol: x402 — USDC on Base, EIP-3009 gasless authorization

Service Details

Alt Text — /alt-text ($0.01) · /alt-text-batch ($3.00)

Generate WCAG-compliant alt text (≤125 chars) and detailed accessibility descriptions.

POST /alt-text
{ "image_url": "https://example.com/product.jpg" }

# Response
{ "alt_text": "Red leather handbag with gold clasp", "description": "..." }

Batch: { "images": ["url1", "url2", ...], "context": "e-commerce catalog" }

Document Intelligence — /document-intel ($0.05) · batch ($15.00)

OCR, classification, table extraction, and summarization from document images.

POST /document-intel
{ "image_url": "...", "analysis_type": "extract|summarize|classify|table" }

Invoice Extract — /invoice-extract ($0.03) · batch ($9.00)

Extract structured fields from invoices and receipts: vendor, amounts, line items, dates.

POST /invoice-extract
{ "image_url": "..." }

# Response
{ "invoice": { "vendor_name": "...", "total": 1250.00, "line_items": [...] } }

Screenshot Data — /screenshot-data ($0.02) · batch ($6.00)

Extract text, UI elements, layout, and data tables from screenshots.

POST /screenshot-data
{ "image_url": "...", "extract_type": "full|text|data|layout" }

Blueprint — /blueprint ($0.05) · batch ($15.00)

Analyze architectural blueprints and floor plans. Extract rooms, dimensions, materials.

POST /blueprint
{ "image_url": "...", "analysis_type": "full|rooms|dimensions|materials" }

# Response
{ "rooms": [{"name": "Living Room", "area": "24 m²"}], "total_area": "85 m²" }

PII Detect — /pii-detect ($0.02) · batch ($6.00)

Detect and optionally mask PII: emails, phones, SSNs, names, addresses, credit cards.

POST /pii-detect
{ "text": "Contact John at john@email.com", "mask": true }

# Response
{ "pii_found": [...], "risk_level": "high", "masked_text": "Contact [NAME] at [EMAIL]" }

Sentiment — /sentiment ($0.01) · batch ($3.00)

Analyze sentiment, emotions, and intent with confidence scores.

POST /sentiment
{ "text": "This product is amazing!" }

# Response
{ "sentiment": "positive", "confidence": 0.95, "intent": "praise" }

Content Generate — /content-generate ($0.02) · batch ($6.00)

Generate blog posts, emails, social media, product descriptions, reports, and ad copy.

POST /content-generate
{ "prompt": "benefits of standing desks", "style": "blog|email|social|product|report|ad", "tone": "professional", "max_words": 500 }

Compliance Check — /compliance-check ($0.03) · batch ($9.00)

Analyze text for GDPR, HIPAA, SOX, or general compliance violations. Returns risk level and remediation recommendations.

POST /compliance-check
{ "text": "We store passwords in plain text.", "framework": "GDPR", "jurisdiction": "EU" }

# Response
{ "compliant": false, "risk_level": "critical", "issues": [...] }

Code Review — /code-review ($0.05) · batch ($15.00)

AI-powered code review for security vulnerabilities, performance, and quality. Any language.

POST /code-review
{ "code": "SELECT * FROM users WHERE id='" + id + "'", "language": "sql", "focus": "security" }

# Response
{ "overall_score": 2, "issues": [{"severity": "critical", "description": "SQL injection"}] }

Phish Radar — /phish-radar ($0.03) · batch ($9.00)

Detect phishing URLs and domains. Identifies typosquatting, homoglyph attacks, brand impersonation.

POST /phish-radar
{ "url": "https://paypa1.com/login" }

# Response
{ "is_suspicious": true, "risk_score": 92, "risk_level": "critical", "legitimate_brand": "PayPal" }

Quick Start

Service Catalog

curl https://x402.ntriq.co.kr/services

Health Check

curl https://x402.ntriq.co.kr/health

Test (expects 402 response)

curl -X POST https://x402.ntriq.co.kr/sentiment \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello world"}'
# → 402 Payment Required

Architecture

Mac Mini (Apple Silicon)
├── x402 Server (Node.js + tsx)         :4021
├── qwen-vision-api (Python)            :8100  ← Qwen2.5-VL:7b
├── Ollama                              :11434 ← Qwen2.5:7b, Gemma4
└── Cloudflare Tunnel → x402.ntriq.co.kr

Payment: USDC on Base mainnet via x402 protocol
Wallet: 0x124AaFfF8Ef45F2cA953807aF09Aacec2D9F8307
Facilitator: https://facilitator.openx402.ai

ClawHub Skills

Install via ClawHub to enable these services in your AI agent:

clawhub install ntriq-x402-alt-text
clawhub install ntriq-x402-sentiment
clawhub install ntriq-x402-code-review
# ... and more

Built by ntriq — 100% local inference, 100% margin

Available Tools

6 tools
alt_textA

Generate accessible alt text descriptions for images. Cost: $0.01 USDC per call.

Inputs: image_url, image_base64, style.

document_intelligenceA

Analyze document images — extract text, summarize, classify, or extract tables. Accepts image URL or base64. Cost: $0.05 USDC per call (x402, Base mainnet).

Inputs: image_url, image_base64, analysis_type, language.

invoice_extractA

Extract structured fields from invoice or receipt images. Returns vendor, line items, totals, dates, and more as JSON. Cost: $0.03 USDC per call.

Inputs: image_url, image_base64, language.

pii_detectA

Detect and redact Personally Identifiable Information (PII) in text. Returns detected PII types and redacted text. Cost: $0.02 USDC per call.

Inputs: text (required), redact.

screenshot_dataB

Extract structured data from screenshots of dashboards, tables, forms, or UIs. Cost: $0.02 USDC per call.

Inputs: image_url, image_base64, extraction_hint.

sentiment_analysisA

Analyze sentiment of text — returns score, label, and key phrases. Cost: $0.01 USDC per call.

Inputs: text (required), language.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: alt_text for image descriptions, document_intelligence for document analysis, invoice_extract for invoice processing, pii_detect for PII handling, screenshot_data for screenshot extraction, and sentiment_analysis for text sentiment. The descriptions make it easy to differentiate between them.

    Naming Consistency4/5

    The tools use a consistent snake_case naming convention throughout, which is good. However, there is a minor deviation in naming style: most tools use descriptive compound names (e.g., sentiment_analysis, invoice_extract), but 'alt_text' is simpler and less descriptive compared to others, slightly breaking the pattern.

    Tool Count5/5

    With 6 tools, this server is well-scoped for its apparent domain of document and image processing. Each tool serves a specific, useful function, and the count is neither too sparse nor overwhelming, fitting typical expectations for such a specialized server.

    Completeness4/5

    The toolset covers key areas in document and image analysis, including text extraction, sentiment analysis, PII detection, and structured data extraction from various sources. A minor gap is the lack of tools for editing or modifying documents/images, but the provided tools offer comprehensive analysis capabilities for the inferred domain.

    Resources

    Related MCP Connectors