SmartMLChain - LLRM-SQL Pricing

📏 Understanding 100 Tokens
For Free and Pro tiers, we limit queries to 100 tokens. Here's what 100 tokens looks like:

📝 Text Example (100 tokens)

This paragraph contains exactly 100 tokens when processed by standard tokenizers:

"Exploring the vast, shimmering reaches of the deep ocean reveals a world unlike any other on our planet. Beneath the crushing pressure and eternal darkness, bioluminescent creatures drift like silent ghosts through the frigid water. These resilient organisms have adapted to extreme conditions that would instantly destroy most life forms."

🔍 Agentic LLRM-SQL Query (100 tokens)

Complex multi-source analysis with external APIs, AI models, and PDF generation:

WITH economic_data AS (
    SELECT gdp, inflation 
    FROM worldbank_api 
    WHERE country="USA" AND year=2024
),
analysis AS (
    SELECT insights 
    FROM llama3("Analyze economic trends: " + economic_data.gdp) AS T
)
SELECT SAVE_AS_PDF(analysis.insights, "economic_report.pdf") 
FROM analysis;

This query: Fetches World Bank data → Analyzes with Llama3 AI → Generates PDF report

Flexible Cost Structure: The Agentic LLRM_SQL system offers various AI models ranging from free/inexpensive to premium high-cost options. Users have complete freedom to choose any AI model and complexity level in their queries, including expensive models, complex nesting, and multiple external API calls.

Our open strategy allows unlimited complexity as long as users are prepared to pay for associated costs beyond monthly limits. All execution costs are transparently displayed after each query completion.

User Tiers Overview:

Free: 5 queries/month with free AI models and 1-level nesting only
Pro ($29.99/month): 100 simple queries included. Basic users can use "EXECUTE QUERY" command within limits. Experienced users can exceed limits using advanced CLAP commands ("FIND AGENT", "FIND AGENT DEFINITION", "EXECUTE AGENT", "GET LINK") with additional per-query charges for complex operations
Enterprise: Custom negotiated plans covering multiple users, various AI models, all CLAP commands including "CREATE AGENT" for custom agent development, enterprise marketing integration, and automatic payment for costs beyond monthly limits

All users should review documentation about features, usage, and costs associated with CLAP commands before registration.

🆓 Free Tier

$0/month

Perfect for evaluation and testing structured agentic workflows

5 queries per month
1-level nesting (simple workflows)
1 input / 1 output document
2 external APIs max per query
Basic AI models only
100 tokens per query
No vision capabilities
Community support

Available Models (Cheaper AI):

nova_micro

gemma_4b

llama3_8b

Example Free Tier Queries:

SELECT response FROM nova_micro("Simple analysis") AS T;

SELECT data FROM basic_search WHERE query="news";

Example Pro Tier Queries:

WITH analysis AS (SELECT data FROM ft WHERE query="fintech") SELECT insights FROM claude_haiku(analysis.data) AS T;

SELECT vision_analysis FROM nova_pro_vision("chart.jpg") AS T;

SELECT comparison FROM multi_model_compare( gpt4("analyze trends"), claude3("analyze trends") ) AS T;

🏢 Enterprise Tier

Contact Sales

Custom enterprise solutions with dedicated resources and unlimited capabilities

Negotiated number of queries
Negotiated nesting levels
Negotiated document processing
Negotiated external API access
All AI models + custom training
Negotiated token limits
Dedicated AWS resources
99.9% SLA guarantee
Phone + Email support
White-label options

Available Models (Premium AI):

claude-3-5-sonnet

gpt-4-turbo

amazon.nova-premier

custom-fine-tuned

video-analysis

all-bedrock-models

Example Enterprise Queries:

WITH complex_analysis AS ( SELECT data FROM multiple_sources WHERE compliance_level = "enterprise" ) SELECT comprehensive_report FROM claude-3-5-sonnet( complex_analysis.data + custom_context ) AS T;

SELECT video_insights FROM amazon.nova-reel( "training_videos/*.mp4" ) AS T;

SELECT custom_analysis FROM fine_tuned_model( enterprise_data, custom_parameters ) AS T;

📊 Detailed Pricing

Feature-Level

Comprehensive pricing information for each Agentic LLRM-SQL feature by user tier

What You'll Find:

Cost Breakdowns

Tier Comparisons

Usage Examples

Optimization Tips

Detailed Information Includes:

• Per-operation costs by user tier

• AWS infrastructure cost breakdowns

• Real-world usage examples with pricing

• Cost optimization strategies

🚀 LLRM-SQL Unique Capabilities

Unlike traditional AI chat systems, LLRM-SQL provides structured agentic workflows with explicit reasoning trajectories

🔗 Structured Agentic Queries

SQL-like syntax with explicit reasoning workflows, safety guarantees, and integrity enforcement that traditional AI systems lack.

🌐 Multi-Source Reasoning

Simultaneous analysis across hundreds of external sources with coordinated data retrieval and cross-validation.

🗄️ Relational Model Integrity

ACID properties and relational integrity in AI workflows - bringing database reliability to AI reasoning.

📄 Document Processing Pipelines

Multi-document input/output workflows with structured processing chains and format conversions.

👁️ Vision-Multimodal Integration

Vision AI seamlessly integrated with structured query workflows for comprehensive multimodal analysis.

🔌 External API Orchestration

Coordinated access to thousands of internet sources with intelligent rate limiting and error handling.

See Agentic LLRM-SQL in Action

Experience the power of structured agentic workflows with real query examples

Natural Language to Structured Query

Transform plain English into complex multi-model analysis

SELECT T."response" FROM claude-3-5-sonnet-20241022( "Find all customers who purchased more than $1000 worth of products in the last quarter" ) AS T;

Generated Analysis: Comprehensive customer analysis with purchase patterns, seasonal trends, and predictive insights

Multi-Model Comparison

Compare results across different AI models simultaneously

WITH analysis AS ( SELECT response FROM llama3("Analyze market trends") UNION ALL SELECT response FROM claude3("Analyze market trends") ) SELECT * FROM analysis;

Result: Side-by-side analysis from multiple models with confidence scores and consensus insights

Document Intelligence Pipeline

Extract insights from documents with structured processing

WITH extracted AS ( SELECT text FROM document_extract("contract.pdf") ) SELECT summary FROM llama3("Summarize: " + extracted.text) AS T;

Extracted: Contract terms, pricing structure, renewal dates, and compliance requirements

Vision + Text Analysis

Combine visual and textual analysis in structured workflows

SELECT description FROM llama3_vision( "Analyze this chart", [image.image_path] ) AS T;

Analysis: Chart interpretation, data trends, key insights, and actionable recommendations

Real-time Data Integration

Combine live data sources with AI analysis

WITH news AS ( SELECT data FROM wsj WHERE query="AI market analysis" ) SELECT analysis FROM claude3(news.data) AS T;

Output: Live market analysis with trend predictions and investment insights

Enterprise Content Generation

Generate enterprise-grade content with custom workflows

SELECT T."response" FROM amazon.nova-premier-v1:0( "Generate compliance report for financial audit" ) AS T;

Generated: Professional compliance report with regulatory requirements and audit trail

🎯 LLRM-SQL Pricing