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simulate-monte-carlo

io.github.encodi/simulate-monte-carlo

Real Monte Carlo simulation of a compound event/conditional probability. Paid via x402.

MITno flags
85.3
/ 100 activity
rank #47 · -0.7

How this score was reached

Every point is accounted for below. The weights are published on the methodology page and come from the same code that computes them.

recency
33.2 / 35
Last pushed 48 days ago, decaying linearly between 30 days and 365 days.
responsiveness
20 / 20
No open issues on the tracker.
cadence
15 / 15
Registry entry updated 48 days ago, within the 90-day release window.
community
2.1 / 15
1 star and 1 contributor, log-scaled so large outliers do not dominate.
metadata
15 / 15
Publisher metadata has OSI-approved licence (MIT), a substantive description, a declared repository link.

Risk flags

Static observations from published metadata. Nothing is installed or executed, and these are deliberately kept out of the score above.

No flags raised for this server.

Score over time

6 readings, oldest first. Latest 85.3.

Registry record

Repository
https://github.com/encodi/simulate-monte-carlo
Version
1.0.0
Licence
MIT
GitHub
1 stars · 0 forks · 0 open issues · 1 contributors
Last push
Remote endpoints
streamable-http: https://simulate-monte-carlo.encodari.workers.dev/mcp
Registry updated
First indexed

Something wrong here? This index reads public registry and GitHub data; if a record is stale or misattributed, email contact@klars.ai.

simulate-monte-carlo — activity score 85/100 · MCP Trust Index