decodify.
Litepaper · v1 · Aug 2026

Crypto intelligence that tells you when, how and why, for humans and agents.

Decodify runs two engines (an automated quant stack and a community + AI curation pipeline) that capture every event hitting a project, validate it, and score its impact. The result: the cleanest record of what actually happens in crypto, and a comparable score built on top, readable by a person and a bot.

CoverageMulti-chain
Market dataReal-time
ScoringBaseline + Custom
Readable byHumans + agents
LaunchVirtuals
Overview

What is Decodify?

Decodify is a crypto-intelligence protocol that captures all types of events for the top crypto projects. It combines the best qualities of AI with the complexity of the human mind and social intelligence. It provides results in the form of actionable insights and customizable scores, serving them to humans through a UI and to agents through an API.

Most traders juggle five disconnected tools: CoinMarketCap for price, Nansen for on-chain, Kaito for social, TradingView for charts, and Twitter for catalysts. None of them talk to each other, none validate what they surface, and none capture the 2 a.m. partnership tweet before the market reacts. Decodify replaces that whole workflow with one accountable record, and one score you control.

Two things make it fundamentally different from every dashboard that came before it:

01

Community-curated intelligence

Pipelines collect the raw data; the community decides what it means. What is a token actually used for? Does it really belong to the “AI Agents” narrative? Did that partnership actually happen? Members declare → validate → assess, backed by stake and reputation, building an intelligence layer no algorithm can replicate and no farm can fake.

02

Scoring you control

Every user sets their own pillar and metric weights. The same token can read “undervalued” for a momentum trader and “fairly valued” for a fundamentals researcher. Two scores are always shown, a Baseline (market consensus) and your Custom score, and the gap between them is the insight.

The core thesis: individual signals are noise. A volume spike alone means nothing. But a volume spike plus a heating narrative plus smart-money accumulation plus an undervalued read versus peers is a meaningful setup. Decodify’s job is to capture and score all of it (nothing missed, everything weighed) and, ultimately, to detect that convergence and validate it against historical outcomes.

The problem

Crypto is drowning in price data and starving for meaning.

There is infinite data on what a price did, and almost none on why: verified, complete, and usable. The participants who understand why a token moved, and can recognise the setup forming again, hold a durable edge. Everyone else is working with four broken inputs:

  • The “why” is unstructured and untrustworthy. What moves a token (listings, unlocks, governance, whale flows) is scattered across explorers, forums, exchanges, dev repos and social. Un-timestamped, unverified, impossible to query.
  • Every tool sees one slice. Sentiment feeds scrape the volume of chatter, not validated cause. On-chain tools tell you a whale bought, never why. Nobody connects the dimensions into a whole.
  • Scores are black boxes. A “78/100” you can’t decompose is useless to a serious trader, and unusable to a machine that needs auditable reasoning.
  • And now, agents can’t be served at all. Thousands of autonomous trading agents are spinning up alongside human traders and funds. Both need structured, explainable, real-time intelligence they can act on, and nothing is built for a non-human consumer.
The gap isn’t more data. It’s validated, structured, explainable, machine-consumable meaning.
How it works

Two engines. One record. A score you can compare.

Decodify runs two engines side by side: an automated quant stack that measures what machines can, and a community + AI curation pipeline that captures and verifies what only humans know first.

Quant stack: what machines detect

Real-time price, volume and market structure · technical signals · macro regime · dev activity · narrative momentum and sector rotation: aggregated, normalised and scored continuously. Expanding to on-chain flows, whale movements and social mindshare as those pipelines come online.

Curation pipeline: what humans know first

Partnerships, listings and hacks · governance decisions and team changes · product launches and integrations · narrative framing · the context no API captures. Declared in near-real-time, fact-checked by AI, then validated and impact-scored by a stake-backed, reputation-gated community.

Together they produce something that hasn’t existed before, and it’s valuable at every level:

  1. Captured A complete, timestamped record of what’s happening to a project, across every dimension. The feed nobody else has.
  2. Validated Confirmed true and impact-scored by AI and a stake-backed, reputation-gated crowd. Structured intelligence that can’t be faked or farmed.
  3. Scored Every event rolls up into its pillar, every pillar into the project score. Nothing missed, everything weighed, and comparable across the whole market to spot what’s mispriced.
  4. Shaped Served to humans (UI) and agents (API), from raw events to abstracted scores, run at Baseline or reweighted to your own thesis.
Convergence is the endgame. Because the record is complete and every event is scored, Decodify can detect when independent signals line up and, on the roadmap, validate that convergence against what happened next.
The platform

One workspace, the whole workflow

The sidebar mirrors the research workflow: Explore what exists, get Intelligence on what’s happening now, contribute and earn in the Lab, and manage your stake, referrals and positions under Personal.

Explore: what exists

Markets Live

A sortable table of every tracked token with live price, market cap, FDV, volume, multi-period changes, and both the Baseline and Custom valuation scores side by side.

Project page Live

The deepest view of any token: live chart, automatically detected price moves, the full valuation breakdown, narrative pulse, supply & unlocks, and the community activity feed. This is where research happens.

Economy Live

The macro backdrop: Fear & Greed, market-cap and dominance trends, altcoin-season index, derivatives and sentiment, the risk-appetite context before you dive into a token.

Intelligence: what’s happening now

Pulse Live

The live market state: regime, top movers, narrative lifecycle phases, valuation extremes, and signal convergence: the tokens lining up multiple active signals right now.

Compare Live

Side-by-side narrative comparison: pick a sector and rank every token in it by valuation, momentum and metrics.

Ask Live

A natural-language research assistant with access to the platform’s structured data: hypothesis-test in plain English, answered from real data.

Patterns Coming soon

Historical setup matching: find tokens that were once in a similar state and see what happened next, with outcome probabilities.

Lab: contribute and earn

The Lab runs a single pipeline, in order: Declare → Validate → Assess.

Declare Live

Submit what the machines can’t see: token utilities, products, narrative/category fit, and catalyst events, with proof links and an AI pre-check before it ever reaches the community.

Validate Live

A trust-gated community jury approves or rejects every AI-passed declaration: the quality gate a signal must clear before it can be assessed.

Assess Live

Score validated declarations on the subjective questions: how significant, how attractive, which direction? Build a public track record of accurate assessments.

Leaderboard Live

Curators ranked by accuracy, volume and reputation. The best contributors earn the most and gain credibility.

Personal: your stake & rewards

Staking Live

Stake $DECO to mint daily credits that power your Lab activity. Pre-TGE runs on a testnet faucet.

Referral Live

Invite contributors and earn a two-tier override on the points they generate.

Portfolio Coming soon

Track your positions and performance alongside the intelligence that drives them.

Valuation scoring

Two scores. Zero black boxes.

Each token is scored across a set of transparent pillars. Every pillar is decomposable: click “explore” and you see every metric, its raw value, and how it was computed. Financial and on-chain metrics are FDV-normalised, so the same raw number scores differently depending on a token’s valuation tier.

PillarWhat it measuresSourceStatus
Token UtilityWhat the token is actually used for, validated by peersCommunityLive
ProductsWhat the project actually ships, validated by peersCommunityLive
TechnicalRSI, MACD, Bollinger, volume trend from our own candlesAutomatedLive
EconomyMacro regime, derivatives positioning and sentimentAutomatedLive
GeneralNarrative strength, dev activity, team, token design, ecosystem fitAutomated + communityWiring up
FinancialFDV vs peers/market, fees, revenue, TVL/MCap, dilutionAutomatedWiring up
On-chainActive addresses, whale flows, exchange netflow, smart moneyAutomatedWiring up
SocialMindshare, sentiment, KOL coverage, community growthAutomatedWiring up

Some pillars score from live data today; others render the full framework while their data pipelines are wired up (see the roadmap). The “Live / Wiring up” status above reflects current state, in the app.

The pillars roll up into a composite score. A Baseline score uses neutral weights everyone shares; your Custom score uses the weights you set. The same data, your interpretation.

Pattern Recognition Coming soon: the endgame. Take a token’s current state, find historical tokens that were in similar states, and report the outcome: “this setup historically moved +45% with 72% probability within 14 days (n=124).” This turns Decodify from a research tool into a probabilistic intelligence system.
The Lab · Overview

The intelligence layer no algorithm can replicate

The Lab is where humans add what pipelines can’t. Every community declaration flows through one accountable pipeline before it can affect a token’s score:

  1. Declare A contributor submits a utility, product, category fit, or catalyst event, with a proof link.
  2. AI pre-check An automated gate screens it for coherence, plausible dates and validity. Clear spam/garbage is rejected on the spot; everything else proceeds.
  3. Validate A jury of trusted curators approves or rejects it. Approved → it moves to assessment; rejected → it’s dropped, and the declarer’s trust takes a hit.
  4. Assess The community scores the validated declaration: validity, impact and direction. Consensus stays hidden until enough votes land, then settles.
  5. Consensus The settled result flows into the token’s score, tags, narrative pulse and activity feed, and assessors who beat the crowd earn a retrospective reward.

Every data point is accountable: who declared it, when, who validated and assessed it, and what the consensus was. Unlike Twitter alpha or Discord tips, there’s reputation and credits behind every claim, and a public accuracy record for every contributor. Each stage costs credits (capacity) and is gated/multiplied by trust (track record); both are explained below.

Nothing settles on raw headcount; it settles on trust. A step locks once the combined trust of the people who weighed in is high enough (and a minimum number of distinct curators and a short open window have passed, so no single person with several wallets can decide alone):

StepWhat it settlesHow it’s reachedResult
ValidateValidity: is it real, correctly framed, and dated right?Enough trusted curators have weighed in (+ a minimum of distinct voters and a short open window)Their trust-weighted approval clears the bar → Validated, otherwise Rejected
AssessConsensus: the subjective scores (significance, direction, …)Enough trusted assessors have weighed in (same distinct-voter + window guard)The trust-weighted average of their scores → a published 0–100 consensus

Each voice is weighted by trust, with a cap so no single heavyweight can dominate the outcome, so results reflect the proven community, not whoever shows up loudest or holds the most.

Declare

Declaring is how the human layer enters the protocol, the facts pipelines can’t infer: what a token is used for, what the project actually ships, which narrative it belongs to, and the catalysts that just happened. It’s the raw intelligence everything else is built on.

A declaration doesn’t count on submission; it has to earn its place by clearing an automated quality check and then the community. Because every claim is judged downstream, the incentive is to be accurate, well-sourced and early, and a contributor’s standing is staked on it, so there’s real accountability behind every data point, unlike anonymous Twitter alpha.

Validate Live

Validation is the community’s quality gate: the step that keeps the dataset trustworthy. Before any declaration can influence a token, a jury of proven curators judges whether it’s real and correctly framed; only what passes moves on to assessment, and what fails is filtered out before it can mislead anyone or earn rewards.

Verdicts are weighted by curator track record and protected against any single large voice dominating, so the gate reflects genuine consensus, not whoever shows up loudest. Gatekeeping is itself a paid, skill-rewarded role: curators who judge accurately gain standing and rewards, which is what makes the quality bar self-sustaining.

Assess

Assessment is where a validated claim becomes a scored signal. Reality is already settled at the Validate step, so assessment is purely subjective: the community grades how significant, how attractive, and (for events) which direction and how lasting, and those judgments roll up into the token’s score, tags and narrative pulse. This is open to everyone: it’s the most accessible way to contribute and the primary way newcomers build standing.

Judgment is the scarce skill the protocol pays for. To stop herding, individual opinions stay private until a signal settles into a consensus, and your retrospective reward is set by how close your scores land to that consensus: the closer you are, the more you earn, falling off sharply with distance. Being right alongside the community is what builds both your rewards and your trust.

The Lab · Trust

Trust: the single gate and multiplier

Trust is your reliability as a curator: a single score that grows as you’re proven right. It does two jobs: it unlocks what you can do, and it multiplies what you earn. Everyone starts low and earns their way up, so standing reflects results, not how early you arrived or how much you hold.

ActivityTrust required
AssessAny verified wallet
Declaretrust ≥ 0.2
Validate (jury)trust ≥ 0.5

Trust moves slowly, by track record: you gain it from accurate assessments, well-judged validations, and declarations that hold up, and lose it from sloppy or wrong calls. Proven curators carry far more weight than newcomers, so the people who’ve consistently been right shape outcomes the most, and it can’t be bought, only earned.

The Lab · Credits

Credits: capacity to act

Credits are the throughput you spend on Lab actions, separate from trust. They’re minted daily and reset every day at 00:00 UTC with no rollover, so capacity can’t be hoarded. Verification (Twitter + Telegram) is required to mint any credits: the Sybil gate on participation.

  • Free daily grant for verified wallets, so you can try the Lab before staking.
  • Staking mints more: every 100 $DECO staked = 1 extra credit/day (linear, uncapped).
  • Costs: declaring (spent at the Validate step, pass or fail), validating, and assessing each consume credits per action.

That’s all staking does: mint capacity. Whether you can do an activity, and how much you earn from it, is governed by trust, not stake.

The Lab · Leaderboard

Reputation, in the open

The leaderboard ranks curators by points and trust, with a live view of each contributor’s declarations, validations and assessments and their per-event reward attribution. Standing is earned through accurate, well-validated work over time; it can’t be bought. Your declaration history shows each event’s lifecycle stage: Validation → Assessment → Finalized (or Rejected).

Rewards & economy

How contributors earn

Every action awards a permanent instant floor the moment you act; the protocol then adds retrospective bonuses once a signal settles: bonuses only ever add, never subtract. Every reward is scaled by your trust. The figures below read live from the protocol’s economy settings (pre-TGE governed by the team; post-TGE by stakers).

Total supply
1,000,000,000
$DECO
Community allocation
1%
to contributors
Vesting
90d
linear, post-TGE
Reward epoch
7d
rolling, post-TGE
MechanicEffect
Declare: instant floor (AI-pass)10 × trust-at-declaration
Declare: validated bonus (on community-validate)+ bonus × trust · catalysts get an extra early-call bonus
Validate: instant floorfloor × trust (per vote)
Validate: accuracy retro (at verdict)closer to the verdict → more · every validator earns
Assess: instant floor2 × trust
Assess: accuracy retro (at consensus)closer to consensus → more (per question)
Reward multiplier (everything)× your trust (0–1)
Referral override: tier 1 / tier 215% / 5% (cap 30%)

Retrospective rewards scale with how close your call lands to the community consensus: the closer, the more, falling off sharply with distance. Declarer rewards use your trust at the moment you declared, not when the event later concludes.

Rewards & economy

The reward pools

Rewards are funded from two recurring pools, each quoted as a percentage of supply per four weeks:

Points pool
0.4%
/ 4 weeks, activity rewards, split pro-rata by points
Baseline pool
0.1%
/ 4 weeks, passive staking yield (mainnet)

By default every activity competes for the whole points pool in proportion to the points it earned. The pool can optionally be split so each activity funds its own rewards: a governance option, off by default.

Rewards & economy

Epochs & settlement

Points accrue in rolling 7-day epochs. Points in the open epoch are this-epoch (at-risk); when the epoch settles they become claimable (banked). Unstaking during an epoch forfeits that epoch’s at-risk points (the anti-unstake deterrent) while claimable points and baseline yield are always kept.

Pre-TGE (now): testnet $DECO from a faucet, one cumulative epoch, and points accrue as your airdrop share, no token distribution yet. At TGE the snapshot freezes and the airdrop vests linearly. Post-TGE: real $DECO, rolling 7-day epochs, each distributing the points pool pro-rata to contributors.
Rewards & economy

Referrals

Invite contributors and earn a two-tier override on the points they generate: 15% from your direct recruits and 5% from their recruits, drawn from the pools (not taken from the recruit). Each referrer’s total override is capped at 30% of their own epoch points, so referrals reward active contributors, not passive recruiters.

$DECO token

$DECO: the coordination layer

$DECO aligns the people who produce intelligence with the people who consume it. Its core utilities:

Stake to participate

Staking $DECO mints daily credits: the throughput you spend on Lab activity. More stake, more credits. Staking is the Sybil-resistant gate on contribution capacity; trust (earned through good work) gates what you can do and multiplies what you earn.

Earn for being right

Accurate, early, well-validated contributions earn points, and points convert to rewards. Curate-to-earn: your attention and judgment are compensated.

Govern Post-TGE

Staked $DECO will carry governance weight over the parameters that shape the protocol: scoring thresholds, reward pools and economy settings.

🔑

Unlock access

Staking and subscriptions unlock real-time intelligence, the AI assistant, pattern queries and higher API quotas (see Access tiers).

Reputation is earned, not bought. Trust and curator standing come from activity and accuracy over time; staking sets your capacity to contribute, but only good work builds your trust.
$DECO token

Staking

Staking 100 $DECO mints one credit per day (linear, uncapped). That’s the one thing staking does: set your daily capacity to contribute. It does not buy trust, rank, or rewards; those come only from accurate work. Pre-TGE, staking runs on a testnet faucet so you can build a track record before the token exists; post-TGE it stakes real $DECO and also accrues the baseline pool’s passive yield.

$DECO token

Airdrop & TGE

The community allocation (1% of supply) goes to contributors. Pre-TGE, every point you earn accrues as your share of that allocation: your points ÷ all points × 1% of supply. At TGE the snapshot freezes and the airdrop vests linearly over 90 days. Build trust and points now; the snapshot rewards the track record you’ve already established.

Launch

$DECO launches on Virtuals

$DECO launches via the Virtuals Protocol launchpad: the home of tokenised, autonomous agents and the ecosystem best aligned with Decodify’s mission. Virtuals gives $DECO a fair, liquid launch and native rails to the agent economy.

It also positions Decodify as intelligence infrastructure for agents: the same structured, decomposable, machine-readable intelligence humans read on the dashboard is exactly what autonomous trading and research agents need. Planned ACP (Agent Commerce Protocol) integration lets agents consume Decodify’s signals programmatically: Decodify becomes a data provider to the on-chain agent economy, not just a human dashboard.

Getting started

Using Decodify

  1. Explore the market. Open Markets, sort by score, and click any token to open its Project page. Everything is free to view.
  2. Make the score yours. On any token, open “Create your score,” set your pillar weights, and watch the Custom score diverge from the Baseline: that gap is your thesis, quantified.
  3. Read the now. Check Pulse for regime, convergence and valuation extremes; ask the AI assistant a question in plain English.
  4. Contribute in the Lab. Connect a wallet, declare a catalyst or assess pending signals, and start building a public accuracy record.
  5. Stake to scale. Stake $DECO to mint credits, build trust through good work, and turn accurate, early intelligence into rewards.
Get started · Guide

Using the Lab, step by step

The conceptual model is in The Lab; this is the practical walkthrough: exactly what happens when you contribute.

  1. Connect & verify. Connect a wallet and verify (Twitter + Telegram). Verification is the anti-Sybil gate: it’s what lets your wallet mint credits (a small free daily grant to start; stake $DECO to mint more). Credits reset daily and don’t roll over.
  2. Declare. Pick a token and submit a utility, product, category, or catalyst with a clear description and a source link. Press Validate: this runs the AI pre-check and spends one declare credit whether it passes or fails (the credit pays for the check). On a pass, confirm with Declare; you earn an instant floor (× your trust) and the declaration enters community validation. Incomplete or wrong info is rejected: no reward, and it never reaches assessment.
  3. Validate others (trust ≥ 0.5). On the Validate tab, approve or reject pending declarations. Each vote spends a credit and pays an instant floor; if you’re on the winning side you also earn a retrospective reward and trust. You can’t validate your own.
  4. Assess (open to all). On the Assess tab, score validated declarations: validity, impact, direction. Each assessment spends a small credit and pays an instant floor; the larger reward lands later, at settlement, if you beat the crowd. You can’t assess your own.
  5. Build trust & climb. Accurate work raises your trust over time, which unlocks Declare (≥ 0.2) then Validate (≥ 0.5) and multiplies every reward. Track each of your declarations through its lifecycle (Validation → Assessment → Finalized) on your history and the leaderboard.
Costs & rewards are live. The exact credit costs, point bases and trust thresholds are set in the protocol’s economy settings and shown in-app on each Lab page: this guide describes the flow, not fixed numbers.
Access

Access tiers Planned

This is the planned post-TGE access model. Today the whole platform is open to explore. Token-gating and the tiers below activate toward TGE as the gated capabilities ship.

CapabilityExplorer (free)Analyst ($DECO staker)Pro (subscription)
Markets & Project pagesFullFullFull
Valuation scores & pillar exploreViewFull breakdownFull + API
Pulse (live intelligence)DelayedReal-timeReal-time + alerts
Pattern RecognitionViewFull + custom queriesFull
Ask (AI assistant)NoneDaily quotaUnlimited
Lab (declare + assess + earn)ViewFull + earnFull + earn
API accessLightStandardHigh volume

Tier definitions evolve toward TGE; capabilities marked elsewhere as “coming soon” unlock as they ship.

Roadmap

Where Decodify is going

● Live today

  • Multi-chain coverage, real-time market data
  • Move detection & volume intelligence
  • Valuation: Baseline + Custom scoring framework
  • Community Lab: declare → validate → assess
  • Reputation, leaderboard & testnet economy
  • Pulse, Ask, Compare, Economy

○ Future vision

  • Convergence ML on labelled history
  • Agent & API access via ACP (Virtuals)
  • Alerts (Telegram / Discord)
  • Autonomous execution: paper, then live, fully transparent
FAQ

Frequently asked

Is the valuation score financial advice?
No. The score is a transparent, decomposable research signal: it tells you how a token reads across multiple transparent dimensions under a given set of weights. You set the weights; you make the decisions.
Do I need to stake to use Decodify?
No. Exploring markets, project pages and customising your own scores is free. Staking $DECO is for contributing in the Lab at scale and unlocking real-time and pro features.
How is community input kept honest?
Every declaration is tied to a wallet with a public accuracy record. Signals require peer validation before they count, rewards are weighted toward accuracy and timing, and Sybil resistance plus a social-verification gate keep low-effort farming out.
What happens to my testnet points at TGE?
Pre-TGE points accrue as your share of the community allocation. At TGE the snapshot is taken and the airdrop vests linearly over the configured vesting period.
Why launch on Virtuals?
Virtuals is the leading home for tokenised autonomous agents. It gives $DECO a fair, liquid launch and native rails to the agent economy: exactly the audience for Decodify’s machine-readable intelligence.