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OpenKol is built for one outcome: reproducible verification. If a score can’t be explained or repeated, it’s not useful.

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Public inputs only

OpenKol uses:
  • Public post metadata (author, timestamp, engagement)
  • On-chain market data (price/liquidity context)
No private “signals”. No hidden backfills. No manual overrides.

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Timestamp anchoring (no rewriting history)

Every analysis is anchored to the call timestamp. That prevents the most common “proof” tricks:
  • sliding the entry window
  • cherry-picking the candle
  • claiming a different timing after the move already happened

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Deterministic scoring

Scoring is a defined set of transformations:
  • normalize inputs
  • compute social + chart signals
  • blend into an overall score and medal
Same inputs should produce the same output.

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Transparent methodology

OpenKol documents:
  • what goes into Social, Chart, and Overall
  • how components are weighted
  • what liquidity and drawdowns mean for outcomes
This makes results explainable instead of vibe-based. Start here:

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Shareable evidence

Every analysis produces:
  • a permalink anyone can open
  • a shareable OG card preview for social platforms
So verification is public — not “trust me.”

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Operational integrity

OpenKol is designed to stay consistent as usage grows:
  • caching for performance
  • normalized inputs for repeatability
  • health checks for upstream reliability

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Limitations (being honest)

OpenKol scores what can be measured from public metadata and market data around a timestamp. Edge cases exist:
  • unclear ticker intent
  • thin liquidity markets where price is easily manipulated
  • abnormal market-wide volatility windows
OpenKol helps you verify and compare — it doesn’t replace judgment.

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