ATOM Pricing Intelligence
NPM · ATOM-MCP-SERVER · 2 COMPONENTS · SCANNED AUG 3
The Global Price Benchmark for AI Inference. 1,600+ SKUs, 40+ vendors, 14 price indexes.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 96), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 96), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 149 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability67
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1738 tokens (~217/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · atom-mcp-server
claude mcp add a7om-ai-atom-mcp-server -- npx -y atom-mcp-server
codex mcp add a7om-ai-atom-mcp-server -- npx -y atom-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"a7om-ai-atom-mcp-server": {
"type": "local",
"command": [
"npx",
"-y",
"atom-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add a7om-ai-atom-mcp-server --command npx --arg -y --arg atom-mcp-server
mcp_servers:
a7om-ai-atom-mcp-server:
command: "npx"
args: ["-y", "atom-mcp-server"] {
"mcpServers": {
"a7om-ai-atom-mcp-server": {
"command": "npx",
"args": [
"-y",
"atom-mcp-server"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Aug 26 +62
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: unverified → 0.23 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- Licence: MIT functional
- 1 Aug 26 −29
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- 31 Jul 26 −26
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 28 Jul 26 +53
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Maintenance: unverified → pass ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- License: unverified → pass ▲ functional
- First check of Schema quality: fail functional
- First check of Schema quality: excellent functional
- First check of Schema quality: fail functional
- First check of Tool coverage: 100 functional
- Licence: MIT functional
- 27 Jul 26 25
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
compare_prices Compare Prices Across Vendors ~248
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"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
| direction | string | — | Filter by pricing direction |
| limit | integer | — | Maximum results (default 50) |
| modality | string | — | Filter by modality: Text, Image, Audio, etc. |
| model_family | string | — | Model family to compare, e.g. 'GPT-4o', 'Claude 3.5' |
| model_name | string | — | Model name to compare prices for, e.g. 'GPT-4o', 'Llama 3.1 70B' |
No output schema declared.
No examples provided.
get_index_benchmarks Get AIPI Index Benchmarks ~273
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"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
| index_category | string | — | Filter by index category, e.g. 'Text', 'Image', 'Audio', 'Video', 'Multimodal', 'Composite' |
| index_code | string | — | Filter by specific AIPI index code, e.g. 'AIPI-TXT-GLB', 'AIPI-IMG-GLB'. Omit to see all indexes. |
| limit | integer | — | Maximum results to return (default 25) |
No output schema declared.
No examples provided.
get_kpis Get Market KPIs ~159
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.
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
No output schema declared.
No examples provided.
get_market_stats Get Market Statistics ~139
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"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
| modality | string | — | Optionally focus on a specific modality: Text, Image, Audio, Video, etc. |
No output schema declared.
No examples provided.
get_model_detail Get Model Details ~176
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"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
| model_name | string | yes | Model name to look up, e.g. 'GPT-4o', 'Claude Sonnet 4.5', 'Llama 3.1 70B' |
No output schema declared.
No examples provided.
get_vendor_catalog Get Vendor Catalog ~201
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"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
| direction | string | — | Optionally filter by pricing direction |
| limit | integer | — | Maximum results (default 50) |
| modality | string | — | Optionally filter by modality: Text, Image, Audio, Video, Voice, Multimodal |
| vendor | string | yes | Vendor name, e.g. 'OpenAI', 'Together AI', 'Amazon Bedrock' |
No output schema declared.
No examples provided.
list_vendors List All Vendors ~157
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"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
| country | string | — | Optionally filter by country, e.g. 'United States', 'China', 'France' |
| region | string | — | Optionally filter by region: 'North America', 'Europe', 'Asia', etc. |
No output schema declared.
No examples provided.
search_models Search AI Models ~385
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
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | — | Your ATOM API key for full access. Omit for free tier (redacted data). |
| creator | string | — | Filter by model creator/developer |
| direction | string | — | Filter by pricing direction |
| limit | integer | — | Maximum results to return (default 20) |
| max_price | number | — | Maximum normalized price (USD per unit) |
| min_context_window | integer | — | Minimum context window in tokens |
| min_parameter_count | string | — | Minimum parameter count, e.g. '7B', '70B' |
| modality | string | — | Filter by modality: Text, Image, Audio, Video, Voice, Multimodal, Embedding |
| model_family | string | — | Filter by model family, e.g. 'GPT-4o', 'Claude 3.5' |
| offset | integer | — | Offset for pagination |
| open_source | string | — | Filter by open-source status: 'true' or 'false' |
| vendor | string | — | Filter by vendor name, e.g. 'OpenAI', 'Anthropic' |
No output schema declared.
No examples provided.