Model Price Radar
PYPI · MODEL-PRICE-RADAR-MCP
LLM prices on OpenRouter now and since 2023: history, drops, cheapest model for a job. No API keys.
Available components
Last scanned (7 hours ago)
Scores higher than 67% of PyPI servers
Category AI and Machine Learning
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 → Why this is hard to score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 31 dependencies flagged as unhealthy. 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 34 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability84
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 662 tokens (~132/item across 5 items; 5 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage97
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 90% of tool parameters carry a description.Partial
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
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 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 31 Oct 26 +1
- Stability: 0.97 → pass security
- 29 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 24 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Oct 26 +16
- Malware scan: unverified → pass ▲ security
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 5 Nov 2026 · Analysed pypi/model-price-radar-mcp@0.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 31 packages
| Packages resolved | 31 |
|---|---|
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
compare_providers ~90
Same model, different providers: price, context, max output, quantization and recent uptime for every provider that serves it on OpenRouter, cheapest first.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Model id or name, e.g. 'meta-llama/llama-3.3-70b-instruct'. |
| response_format | string | – | 'markdown' (default) or 'json'. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
estimate_cost ~113
Cost of a workload on several models at today's prices, cheapest first.
| Name | Type | Req | Description |
|---|---|---|---|
| calls | integer | – | Number of calls, e.g. per day or per month. |
| input_tokens | integer | yes | Input tokens per call. |
| models | array | yes | Model ids or names, e.g. ['openai/gpt-4o-mini', 'claude haiku']. |
| output_tokens | integer | yes | Output tokens per call. |
| response_format | string | – | 'markdown' (default) or 'json'. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
find_models ~172
Search OpenRouter's live catalog by name, capabilities, price ceilings and context size. 'cheapest' ranks by blended price (3 input : 1 output tokens).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| max_input_price | – | – | Max $ per 1M input tokens. |
| max_output_price | – | – | Max $ per 1M output tokens. |
| min_context | – | – | Minimum context window in tokens, e.g. 128000. |
| needs | array | – | Required capabilities, e.g. ['tools', 'vision']. |
| query | – | – | Words in the model id or name, e.g. 'claude', 'llama 70b', 'qwen coder'. |
| response_format | string | – | 'markdown' (default) or 'json'. |
| sort | string | – | Ranking. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
model_price_history ~98
Monthly price history of one model since it appeared on OpenRouter (archived copies since 2023) plus today's price. Shows every price change with its % and the overall change.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Model id or name, e.g. 'openai/gpt-4o' or 'llama 3.1 70b'. |
| response_format | string | – | 'markdown' (default) or 'json'. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
price_changes ~89
What changed in LLM pricing since a month: biggest price drops and increases, newly free models, and how many models were added or removed.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| response_format | string | – | 'markdown' (default) or 'json'. |
| since | string | – | Compare against the archived month closest to this, 'YYYY-MM' (default: 3 months ago). |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the Model Price Radar MCP server?
Model Price Radar runs locally as a PyPI package, launched with uvx model-price-radar-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · model-price-radar-mcp
claude mcp add alialtunar-model-price-radar-mcp -- uvx model-price-radar-mcp
What is the Model Price Radar MCP server?
Model Price Radar is an MCP server listed in the public MCP registry as io.github.alialtunar/model-price-radar-mcp. LLM prices on OpenRouter now and since 2023: history, drops, cheapest model for a job. No API keys. This page covers its PyPI package (model-price-radar-mcp).
Is the Model Price Radar MCP server safe to use?
Model Price Radar scores 71 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Model Price Radar MCP server expose?
Model Price Radar exposes 5 tools: find_models, estimate_cost, model_price_history, price_changes, compare_providers. Their descriptions and schemas cost roughly 562 tokens of context every time the server is loaded.
Is the Model Price Radar MCP server still maintained?
Model Price Radar is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Model Price Radar MCP server under?
Model Price Radar declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.