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ATOM Pricing Intelligence

The Global Price Benchmark for AI Inference. 1,600+ SKUs, 40+ vendors, 14 price indexes.

First seen 2 Oct 2026. Evidence as of 3 Oct 2026.

11
Tools
From an anonymous probe
1
Source listings
Each with its own history
0
Recorded changes
Since first seen

Tools

ToolDescriptionBehaviour
compare_pricesThe same model, or a whole family, priced across every vendor that sells it: cheapest and dearest offer, vendor count and spread ratio for each direction, plus each offer with its channel. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters). Examples: - "Cheapest place to run Llama 3.3 70B" -> model_name="Llama 3.3 70B" - "Qwen family output prices" -> model_family="Qwen", direction="Output"Read-only
get_index_benchmarksThe Attic Standard price indexes for AI inference: every published index at the week the site shows. Six families: Modality (text, multimodal, image, video, audio, voice, embeddings), Channel (model developers, cloud marketplaces, inference platforms, neoclouds), Tier (flagship, core, compact), License (open weights, restricted weights, proprietary), Origin (United States, China) and Use case (reasoning, coding). For each index and direction (input, cached input, output) it returns the benchmark level (May 2026 = 100) with week, month and vs-base changes, the spot price (median, p25, p75 in dollars) and coverage counts. Free: fully public, the same figures atticstandard.com publishes. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters). Examples: - "Where is text inference priced this week?" -> index_code="TXT" - "Compare the four channels" -> index_category="Channel" - "Open-weight versus proprietary" -> index_category="License"Read-only
get_index_constituentsWhat sits inside an index basket this week. Free tier: the composition (SKUs, models and vendors, split by channel, origin, tier and license). Attic Standard MCP PRO: the model-by-model basket with the vendors selling each model. Examples: - "What is in the flagship index?" -> index_code="FLG" - "How much of the China index is sold through neoclouds?" -> index_code="CHN"Read-only
get_kpisThe nine market KPIs Attic Standard publishes each week. - Price structure: output premium, caching discount, caching availability - Price dynamics: repricing activity, repricing depth, post-launch drift - Competition: multi-vendor spread, first-party premium, marketplace premium Each KPI returns its value, interquartile range, population, week, month and vs-base changes, and its published definition. Free: fully public, the same figures atticstandard.com publishes.Read-only
get_market_statsCoverage of the tracked market (active vendors by channel, countries, models, priced SKUs, published indexes) and price distributions split by modality, unit and direction. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters).Read-only
get_model_detailOne model in depth: specs (creator, origin, tier, license, context window, output limit, training cutoff, modalities), the Attic Standard indexes it belongs to, and its price at every vendor. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices.Read-only
get_model_intelligenceSix capability and coverage measures drawn from the metadata behind every tracked model: reasoning tier share, long-context saturation, frontier context ceiling, output ceiling spread, training cutoff lag and vendor modality breadth. Read alongside the market KPIs, they explain why models are priced the way they are. Free: fully public, the same figures atticstandard.com publishes.Read-only
get_price_historyWeekly history. With index_code: the index series (benchmark level, May 2026 = 100, and spot price) for up to 260 weeks; free. With model_name: every vendor's price for that model week by week, showing when each SKU was repriced; Attic Standard MCP PRO. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters). Examples: - "How has the neocloud index moved since May?" -> index_code="NCL" - "Has anyone cut the price of DeepSeek V3 this quarter?" -> model_name="DeepSeek V3", weeks=13Read-only
get_vendor_catalogEverything one vendor sells: channel, country, pricing page, model and SKU counts, and the full price list. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters).Read-only
list_vendorsEvery vendor in the Attic Standard fleet with its channel (model developer, cloud marketplace, inference platform or neocloud), country, region and pricing page. Filter by channel, region or country.Read-only
search_modelsSearch every priced SKU by modality, vendor, channel, creator, family, tier, license, origin, reasoning, open weights, direction, maximum price and minimum context window. Cheapest first. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters). Examples: - "Open-weight text models under $0.0005 per 1,000 output tokens" -> open_source="true", modality="Text", direction="Output", max_price=0.0005 - "Chinese reasoning models on neoclouds" -> origin="China", reasoning="true", channel="Neocloud"Read-only

Change history

No changes since the first observation. The first snapshot is the baseline.

Source listings
SourceListingFirst seenLast seenVersions
Official MCP Registryio.github.A7OM-AI/atom-mcp-server2 Oct 20263 Oct 20261