ATOM Pricing Intelligence

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                "annotations": {
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                "description": "Search and filter AI inference models across 40+ vendors and 1,600+ SKUs.\n\nQuery by modality (Text, Image, Audio, Video, Multimodal), vendor, creator, model family, open-source status, price range, context window, and parameter count.\n\nReturns matching models with pricing. Free tier shows count + price range; paid tier shows full details.\n\nExamples:\n  - \"Find open-source text models under $1/M tokens\" \u2192 open_source=true, modality=\"Text\", max_price=0.001\n  - \"What multimodal models does Google offer?\" \u2192 vendor=\"Google\", modality=\"Multimodal\"\n  - \"Models with 128K+ context window\" \u2192 min_context_window=128000",
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                    "creator": {
                      "description": "Filter by model creator/developer",
                      "type": "string"
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                    "direction": {
                      "description": "Filter by pricing direction",
                      "enum": [
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                      "description": "Maximum normalized price (USD per unit)",
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                      "description": "Minimum context window in tokens",
                      "type": "integer"
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                    "min_parameter_count": {
                      "description": "Minimum parameter count, e.g. '7B', '70B'",
                      "type": "string"
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                    "modality": {
                      "description": "Filter by modality: Text, Image, Audio, Video, Voice, Multimodal, Embedding",
                      "type": "string"
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                    "model_family": {
                      "description": "Filter by model family, e.g. 'GPT-4o', 'Claude 3.5'",
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                    "offset": {
                      "default": 0,
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                    "open_source": {
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                "description": "Deep dive on a single AI model: technical specs + pricing across all vendors.\n\nReturns model_registry data (context window, parameters, open-source status, training cutoff, model family) plus all SKU pricing across every vendor that offers this model.\n\nExamples:\n  - \"Tell me everything about GPT-4o\" \u2192 model_name=\"GPT-4o\"\n  - \"Claude Sonnet 4.5 specs and pricing\" \u2192 model_name=\"Claude Sonnet 4.5\"",
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                      "description": "Your ATOM API key for full access. Omit for free tier (redacted data).",
                      "type": "string"
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                    "model_name": {
                      "description": "Model name to look up, e.g. 'GPT-4o', 'Claude Sonnet 4.5', 'Llama 3.1 70B'",
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                "name": "get_model_detail",
                "title": "Get Model Details"
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              {
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                  "idempotentHint": true,
                  "openWorldHint": false,
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                "description": "Cross-vendor price comparison for a specific model or model family.\n\nShows the same model (or family) priced across different vendors, sorted cheapest first. Essential for cost optimization and vendor selection.\n\nExamples:\n  - \"Compare Llama 3.1 70B pricing across vendors\" \u2192 model_name=\"Llama 3.1 70B\"\n  - \"Cheapest GPT-4 family output pricing\" \u2192 model_family=\"GPT-4\", direction=\"Output\"\n  - \"Claude pricing comparison\" \u2192 model_family=\"Claude\"",
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                    "direction": {
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                      "description": "Filter by modality: Text, Image, Audio, etc.",
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                      "description": "Model family to compare, e.g. 'GPT-4o', 'Claude 3.5'",
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                    "model_name": {
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                "description": "Full catalog for a specific vendor: all models, modalities, and pricing.\n\nReturns vendor metadata (country, region, pricing page URL) plus every model and SKU they offer.\n\nExamples:\n  - \"What does Together AI sell?\" \u2192 vendor=\"Together AI\"\n  - \"OpenAI's text model pricing\" \u2192 vendor=\"OpenAI\", modality=\"Text\"\n  - \"Amazon Bedrock catalog\" \u2192 vendor=\"Amazon Bedrock\"",
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                    "direction": {
                      "description": "Optionally filter by pricing direction",
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                    "modality": {
                      "description": "Optionally filter by modality: Text, Image, Audio, Video, Voice, Multimodal",
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                    "vendor": {
                      "description": "Vendor name, e.g. 'OpenAI', 'Together AI', 'Amazon Bedrock'",
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                "name": "get_vendor_catalog",
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              {
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                "description": "Aggregate AI inference market intelligence.\n\nReturns total vendor/model/SKU counts, price distribution (median, mean, quartiles, min/max), and modality breakdown. Optionally filter by modality.\n\nExamples:\n  - \"AI inference market overview\" \u2192 (no params)\n  - \"Text model pricing statistics\" \u2192 modality=\"Text\"\n  - \"Image generation market stats\" \u2192 modality=\"Image\"",
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                      "description": "Your ATOM API key for full access. Omit for free tier (redacted data).",
                      "type": "string"
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                    "modality": {
                      "description": "Optionally focus on a specific modality: Text, Image, Audio, Video, etc.",
                      "type": "string"
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                "name": "get_market_stats",
                "title": "Get Market Statistics"
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                  "idempotentHint": true,
                  "openWorldHint": false,
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                "description": "AIPI (ATOM Inference Price Index) \u2014 chained matched-model price benchmarks for AI inference.\n\nReturns 14 benchmark indexes across four categories:\n- Modality (6): Text, Multimodal, Image, Audio, Video, Voice \u2014 what does this type of inference cost?\n- Channel (4): Model Developers, Cloud Marketplaces, Inference Platforms, Neoclouds \u2014 where should you buy?\n- Tier (3): Frontier, Budget, Reasoning \u2014 what's the premium for capability?\n- Special (1): Open-Source \u2014 how much cheaper is open-weight inference?\n\nEach index includes input, cached input, and output pricing per period.\n\nThese are market-wide benchmarks, not individual vendor prices. Use them to understand where the market is and how it's moving.\n\nFully public \u2014 available to all tiers.\n\nExamples:\n  - \"What's the current benchmark for text inference?\" \u2192 index_category=\"Modality\"\n  - \"Show me all AIPI indexes\" \u2192 (no params)\n  - \"Neocloud pricing benchmark\" \u2192 index_code=\"AIPI NCL GLB\"\n  - \"Channel pricing comparison\" \u2192 index_category=\"Channel\"\n  - \"Open-source vs market pricing\" \u2192 index_code=\"AIPI OSS GLB\"",
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                    "index_category": {
                      "description": "Filter by index category: 'Modality', 'Channel', 'Tier', 'Special'",
                      "type": "string"
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                    "index_code": {
                      "description": "Filter by specific AIPI index code, e.g. 'AIPI TXT GLB', 'AIPI DEV GLB', 'AIPI OSS GLB'. Omit to see all indexes.",
                      "type": "string"
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                    "limit": {
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                "name": "get_index_benchmarks",
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                "description": "ATOM Inference Price Index (AIPI) market-level KPIs.\n\nReturns 6 key performance indicators derived from live pricing data:\n- Output Premium: how much more output tokens cost vs input\n- Caching Savings: average discount for cached input pricing\n- Open Source Advantage: price difference between open-source and proprietary\n- Context Cost Curve: price multiplier for larger context windows\n- Caching Availability: % of models offering cached pricing\n- Size Spread: price ratio between largest and smallest models\n\nThese KPIs are available to all tiers \u2014 they demonstrate ATOM's market intelligence.",
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                "description": "List all AI inference vendors tracked by ATOM.\n\nReturns vendor name, country, region, and pricing page URL. Vendors span four channel types: Model Developers, Cloud Marketplaces, Inference Platforms, and Neoclouds. Optionally filter by region or country.\n\nExamples:\n  - \"List all vendors\" \u2192 (no params)\n  - \"European AI vendors\" \u2192 region=\"Europe\"\n  - \"Chinese AI vendors\" \u2192 country=\"China\"",
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                      "description": "Optionally filter by region: 'North America', 'Europe', 'Asia', etc.",
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                "name": "list_vendors",
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