statlyte — live LLM pricing
NPM · STATLYTE · SCANNED AUG 17
Live LLM pricing, context windows and model ids, read from each vendor's own page every 3 hours.
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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
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 8 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability74
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 301 tokens (~60/item across 5 items; 5 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
- Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage87
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 60% of tool parameters carry a description.Partial
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 · statlyte
claude mcp add richardwilkinson9-statlyte -- npx -y statlyte
codex mcp add richardwilkinson9-statlyte -- npx -y statlyte
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"richardwilkinson9-statlyte": {
"type": "local",
"command": [
"npx",
"-y",
"statlyte"
],
"enabled": true
}
}
} openclaw mcp add richardwilkinson9-statlyte --command npx --arg -y --arg statlyte
mcp_servers:
richardwilkinson9-statlyte:
command: "npx"
args: ["-y", "statlyte"] {
"mcpServers": {
"richardwilkinson9-statlyte": {
"command": "npx",
"args": [
"-y",
"statlyte"
]
}
}
} 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.
- 17 Aug 26 0
- Package version: 0.1.0 → 0.1.1 functional
- 16 Aug 26 +4
- Stability: unverified → 0.27 ▲ functional
- 12 Aug 26 0
- Package version: 0.1.0 → 0.1.1 functional
- 11 Aug 26 +4
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 8 Aug 26 +25
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Tool coverage: 60 functional
- First check of Schema quality: fail functional
- First check of Schema quality: fair functional
- First check of Schema quality: pass functional
- Package version: 0.1.0 → 0.1.1 functional
- 7 Aug 26 39
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 17 Aug 2026 · Analysed npm/statlyte@0.1.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
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.
cheapest_for_workload ~71
Rank every generally-available model by what a monthly token volume would cost. Use to answer "what is the cheapest model for this workload".
| Name | Type | Req | Description |
|---|---|---|---|
| inputPerMonth | number | – | input tokens per month |
| limit | number | – | – |
| outputPerMonth | number | – | output tokens per month |
No output schema declared.
No examples provided.
estimate_cost ~58
Cost in USD of a call or workload against one model, given raw token counts.
| Name | Type | Req | Description |
|---|---|---|---|
| cacheRead | number | – | – |
| input | number | – | input tokens |
| model | string | yes | – |
| output | number | – | output tokens |
No output schema declared.
No examples provided.
get_model_pricing ~56
Current published pricing and specs for one model. Accepts a statlyte id (anthropic/claude-opus-5) or a vendor API id (gpt-5-mini).
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | – |
No output schema declared.
No examples provided.
list_models ~83
List LLM models with current published pricing (USD per million tokens, or nonTokenPrice for audio/image models billed per minute/character/etc), context windows and API identifiers. Optionally filter by provider.
| Name | Type | Req | Description |
|---|---|---|---|
| includeRetired | boolean | – | Include deprecated and retired models |
| provider | string | – | e.g. anthropic, openai, google, mistral |
No output schema declared.
No examples provided.
scheduled_price_changes ~33
Price changes vendors have announced for a future date, with the old and new figures. Check before committing to a model.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.