ATOM Pricing Intelligence

Cross-vendor price comparison for a specific model or model family.

Shows the same model (or family) priced across different vendors, sorted cheapest first. Essential for cost optimization and vendor selection.

Examples:

• "Compare Llama 3.1 70B pricing across vendors" → model_name="Llama 3.1 70B"
• "Cheapest GPT-4 family output pricing" → model_family="GPT-4", direction="Output"
• "Claude pricing comparison" → model_family="Claude"

AIPI (ATOM Inference Price Index) — chained matched-model price benchmarks for AI inference.

Returns benchmark prices across index families (Text, Image, Audio, Video, Multimodal, Composite) with input, cached, and output pricing per period.

These are market-wide benchmarks, not individual vendor prices. Use them to understand where the market is and how it's moving.

Fully public — available to all tiers.

Examples:

• "What's the current benchmark for text inference?" → index_category="Text"
• "Show me all AIPI indexes" → (no params)
• "AIPI-TXT-GLB history" → index_code="AIPI-TXT-GLB"

ATOM Inference Price Index (AIPI) market-level KPIs.

Returns 6 key performance indicators derived from 1,600+ SKUs:

• Output Premium: how much more output tokens cost vs input
• Caching Savings: average discount for cached input pricing
• Open Source Advantage: price difference between open-source and proprietary
• Context Cost Curve: price multiplier for larger context windows
• Caching Availability: % of models offering cached pricing
• Size Spread: price ratio between largest and smallest models

These KPIs are available to all tiers — they demonstrate ATOM's market intelligence.

Aggregate AI inference market intelligence.

Returns total vendor/model/SKU counts, price distribution (median, mean, quartiles, min/max), and modality breakdown. Optionally filter by modality.

Examples:

• "AI inference market overview" → (no params)
• "Text model pricing statistics" → modality="Text"
• "Image generation market stats" → modality="Image"

Deep dive on a single AI model: technical specs + pricing across all vendors.

Returns model_registry data (context window, parameters, open-source status, training cutoff, model family) plus all SKU pricing across every vendor that offers this model.

Examples:

• "Tell me everything about GPT-4o" → model_name="GPT-4o"
• "Claude Sonnet 4.5 specs and pricing" → model_name="Claude Sonnet 4.5"

Full catalog for a specific vendor: all models, modalities, and pricing.

Returns vendor metadata (country, region, pricing page URL) plus every model and SKU they offer.

Examples:

• "What does Together AI sell?" → vendor="Together AI"
• "OpenAI's text model pricing" → vendor="OpenAI", modality="Text"
• "Amazon Bedrock catalog" → vendor="Amazon Bedrock"

List all 41 AI inference vendors tracked by ATOM.

Returns vendor name, country, region, and pricing page URL. Optionally filter by region or country.

Examples:

• "List all vendors" → (no params)
• "European AI vendors" → region="Europe"
• "Chinese AI vendors" → country="China"

Search and filter AI inference models across 40+ vendors and 1,600+ SKUs.

Query by modality (Text, Image, Audio, Video, Multimodal), vendor, creator, model family, open-source status, price range, context window, and parameter count.

Returns matching models with pricing. Free tier shows count + price range; paid tier shows full details.

Examples:

• "Find open-source text models under $1/M tokens" → open_source=true, modality="Text", max_price=0.001
• "What multimodal models does Google offer?" → vendor="Google", modality="Multimodal"
• "Models with 128K+ context window" → min_context_window=128000