> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openkol.net/llms.txt
> Use this file to discover all available pages before exploring further.

# Reliability

> How OpenKol stays consistent and trustworthy.

OpenKol is a verification layer. If it isn’t consistent, it isn’t useful.

Reliability comes from three things:

1. deterministic scoring,
2. predictable data handling, and
3. transparent behavior when inputs are missing.

***

## Deterministic scoring

Scores are computed from normalized inputs using pure functions.

* same post + same timestamp + same market data ⇒ same result
* score components are capped/clamped so one metric can’t dominate everything
* the scoring system is documented so users can understand what drove the result

Start here: [Scoring overview](/docs/scoring-overview)

***

## Operational reliability

OpenKol is designed for real-world usage:

* caching around expensive lookups (posts, candles, analysis snapshots)
* persistence of analysis snapshots so permalinks remain stable
* health checks and guardrails to avoid partial or misleading results

***

## User trust

Trust is earned by being explicit:

* OpenKol uses **public data** (social metadata + market data)
* results are reproducible and shareable
* limitations and edge cases are acknowledged rather than hidden

See also: [Why trust OpenKol](/docs/why-trust)