End Zero and Game: Web3 Incentive Engineering and Odyssey Behavioural In-depth Studies

Author: Web3 Study by Go2Mars

preamble — — &ldquo from odyssey; ”

Web3 Incentives are at a strange moment from “ flow illusion ” return “ value essence ” Over the past few years, the Odyssey model has been baptized from peak to bottleneck, and we have found that simple model retrenchments are no longer able to spread the world over the chain of information overload。

1.1Paradigm shift: Why did Odyssey, a majority of the projects, achieve little

although the odyssey model has created many myths of wealth, in 2026 developers found it difficult to simply imitate the head & ldquo; the & rdquo effect; this poor performance is essentially a deep fracture between the incentive logic and the user ecology。

• Incentived entropy triggers a serious homogenized internal scroll

When 90 per cent of the projects on the market are requiring users to repeat & ldquo; cross-chain, pledge, forward & rdquo; to obtain almost identical & ldquo; points & rdquo; the marginal benefits of user attention begin to decline sharply. This model imitation has led to incentives for entropy & mdash; — the scarcity of incentives is diluted by mass homogenization projects. In the case of the Linea "The Surge" and the ensuing crowd of L2 sparring battles, when users find it necessary to move liquidity between dozens of logically similar protocols, but only to exchange shrinking inflation credits, aesthetic fatigue becomes operational & ldquo; lie down & rdquo; and the incentive effect is depleted in the endless internal roll。

• &ldquao without gaming mechanisms; witch-like growth &rdquao; creating a lot of false prosperity

Many of the projecters learned only “ the &rdquao; the image of the mission, while ignoring the deep anti-witch game, resulting in most of the incentives being swept away by the automated scripts of professional studios (Farmers). The experience of zkSync Era is a typical warning: although there are more than 6 million active addresses on the books, when the data penetrates, the vast majority of them are mechanical interactions for wool. This “ the paper boom ” not only has the TGE stage triggered a huge community governance crisis, but, more fatally, 90% of the addresses were rapidly destroyed after the drop, and the projecters did not exchange for real ecological depositions, except for the high cost of taking clients。

• product logic and incentive interaction & ldquo; disconnect & rdquo; mechanization of participation

The spin-off effect is often the result of a deep coupling of product core functions with incentive mechanisms. If the Odyssey mission is turned into a &ldquao that has nothing to do with the value of the product; the chain is tough &rdquao (e.g. requiring privacy protocol users to tweet publicly), the user cannot create brand identity. As in the early DeFi project, which forced the binding of social tasks on platforms such as Galxe, they received tens of thousands of fans in a short period of time, this type of &ldquao; the mismatch between demand and &rdquao; and the fact that many of the jobs attracted were low net, while the real big fund users were driven away by a repulsive web2-style forced interaction. Once the mission is over, TVL (total lock volume) tends to fall off the cliff within 24 hours, without creating any emotional resonance or competitive barriers。

1.2Definition of win-win: economic benefits of agreed units (Unit Economic)

to break “ not ” the win-win logic must be from “ buy flow ” switch to “ build ecology ” we need to find a balance at the mathematical level:

1.2.1Unit marginal gains at the end of the protocol

THE PROJECT NEEDS TO REALIZE THAT THE ESSENCE OF ODYSSEY IS THE ACCURACY OF THE CLIENT COST

UnitMargin=LTVuser−CACincentive

Only when the long-term fees, liquidity vistas or governance contributions (i.e. LTV) generated by the user within the agreement are greater than the incentives (incentives) received by the user, Odyssey is no longer a simple & ldquo; & rdquo; but rather a sustainable capital expansion。

1.2.2Total User Use Capture

the user's quest for future odyssey is more rational. they are no longer satisfied with &ldquao; they may be attributed to zero &rdquao; they calculate the aggregate rate of return:

• Airdrop:A real realizable share of the currency。

• Utility:THE LONG-TERM BENEFITS OF THE AGREEMENT (E.G. A LIFE REDUCTION FOR HANDLING FEES, RWA SHARE OF PROCEEDS)。

• Reputation:credit assets on the chain. this is the core voucher for the top project to the future & ldquo; the white list & rdquo。

1.3Core assumption: Incentives are not just tokens, but a combination of credit, privileges and rights of return

In the deep incentive design, we completely overturn &ldquao; ERC-20 tokens as the only driver &rdqua; old assumptions. An Odyssey that produces a ripple effect must have the following three-dimensional values:

• Credit

The contribution of the user is permanently consolidated through the binding of the soul into a token (SBT) or chain identification system. Credit is not only a medal, but also an efficiency multiplier: high credit users can unlock & ldquo; loan free & rdquo; or & ldquo; task weights added to & rdquo; and give real contributors the advantage of transcending scripts。

• Privileges/Utility

incentives will be embedded in the right of use of the product. for example, the winner of odyssey can obtain the agreed governance of &ldquao; the veto gold &rdquao; or other new projects in the ecology &ldquao; the head mine priority &rdquao; the privileges allow users to move from “ passover ” become protocol “ long-term holder &rdquo。

• Right to Proceed (Revenue Rights/RWA)

As compliance progressed, the most attractive Aldersen in 2026 began to introduce the bottom red logic. Incentives are no longer just inflationary air, but anchor the real revenues of the agreement (e.g. interest on RWA national debt, Dex fee splits). The injection of this real income (real Yield) is the bottom card of the project that emerges from the bubble and achieves a real crack。

2.user spectra: from “ shaggy ” to “ linked citizen ”

In future chain ecology, traditional “ user ” definition has collapsed. With the spread of the whole chain abstraction and the AI Agents, the soul behind the address (or algorithms) became highly polarized. Understanding this spectrum is a prerequisite for designing win-win incentives。

2.1.User stratification model: deep image based on motivation and contribution

WE DIVIDE THE PARTICIPANTS IN ODYSSEY INTO THREE REPRESENTATIVE GREEK ALPHABETS, WHICH ARE NOT BASED SOLELY ON ASSET SIZE (TVL), BUT ON BEHAVIOURAL ENTROPY AND AGREEMENT LOYALTY。

2.1.1Player Layer

Gamma - arbitrager (AI bounty hunter)

• Role definition:THE PURSUIT OF A HIGHLY EFFICIENT AI BOUNTY HUNTER。

• Psychokinetic:extremely rational. they had no interest in the project itself, the only coordinates being “ no risk rate ” and “ definitive return &rdquo。

• Behaviour:Typical script-driven interaction with extremely low delays. They're out there like migratory birds in the gas plume, where behavioural paths are highly standardized and homogenized。

Beta - Explorer (hard core player)

• Role definition:Deep participation in ecological hard core players。

• Psychokinetic:Resonance drive. They value the deep experience of their products, community identity and long-term interests in the future。

• Behaviour:ACTIVE PARTICIPATION IN IN-DEPTH IN-SERVICE MEASUREMENTS AND PRIDE IN OBTAINING THE SCARCE MEDAL (SBT). THEY PRODUCE HIGH-QUALITY FEEDBACK IN THE COMMUNITY, AND THEIR INTERACTIVE TRAJECTORIES HAVE A CLEAR PERSONAL COLOUR AND SUBJECTIVE PREFERENCE。

Alpha - Builders (ecological pillar)

• Role definition:The bottom line of the agreement supports the community of interests。

• Psychokinetic:Sovereignty driven. Their objectives are long-term governance of the agreement, the sharing of red power, and the construction of an unbreakable safe moat。

• Behaviour:long-term lock-up, submission of core code proposals or operation validation nodes in the form of large funds. as stated: &ldquao; they do not produce noise, they only produce credit. ”

2.1.2Behavioural characteristics and quantitative models

• Gamma's law of survival:Cold cost estimates

For Gamma players, Odyssey is a finely calculated game. They do not care about project visions, but only about capital efficiency in unit time。

• Alpha's moat effect:Power game

Alpha players are not proud to be tweeting and their Odyssey is reflected in sovereign contributions. They are &ldquao of the agreement; &rdquao of the sea; and sedimentation and maintenance of the technical nodes of its large assets, which directly determine the upper market value and risk resistance of the agreement。

2.1.3identity collapse and &ldquao; consensus alchemy &rdquao;

identity is not lifelong, but a continuous spectrum of dynamic evolution. in excellent odyssey designs, user identity happens & ldquo; quantum leap & rdquo:

• from &ldquao; arbitrage &rdquao; to &ldquao; exploration &rdquao; leap:A Gamma player, originally intended for wool, may, in the course of deep interaction, be moved by the extreme product experience of the protocol or by the rigid technical logic. When he discovers that long-term earnings are higher than the profit of instant sale, he produces “ identity collapse ” — — from “ walk ” change to “ deep hold &rdquo。

• project “ consensus catch ”: this leap is essentially a user-to-user &ldquao; alchemy &rdquao; low-quality projects can only attract and retain arbitrage, which eventually collapses with incentives to dry up; and high-quality projects with an incentive to get &ldquao; bounty hunter &rdquao; sedimentation &ldquao; forestkeeper &rdquao。

Core Insight:Incentives are no longer rigid division but rather a process of screening, filtering and transformation. It recognizes the existence of Gamma, but its ultimate mission is to use incentive leverage to induce users to achieve a cross-tiered evolution from a pro-bono to a value partner。

2.2 Behavioural heat attempts analysis: non-linear characteristics of the mainstream Layer 2 mission path

By 2024, Odyssey's mission path was linear (first step: focus on Twitter; second step: cross-chain; third step: Swap). In the future, however, based on “ the Center of Intent (Intent-centric) ” the design allows user behavior to strive for significant nonlinear, web-based features。

2.2.1 path fork from “ mission driver ” to “ intention driver &rdquo

With the latest data mining of mainstream L2 in Arbitrum, Optimism and Base, we found:

• Uncertainty of path:The same Odyssey mission, user A may be achieved by “ borrowing -> pledge -> foundry ” done while user B may be achieved by “ full chain polymer - > automatic policy pool ” one key。

• Cross-chain thermal anchor:Conduct is no longer limited to a single chain. User behaviour in Layer 2 is often accompanied by instant feedback on the Layer 3 dedicated application chain. For example, 10 minutes after the L2 interaction, the heat seeks to show that the user will quickly trigger the automatic distribution of proceeds script on the associated AI chain。

2.2.2Uneven distribution of behavioral entropy (Behavioral Entropy)

monitoring data show that high-quality users (beta and alpha class) are motivated to have higher & ldquo; complex entropy & rdquo。

• \gam$$$- philanthropist's hot shot:A high degree of mechanical regularity. The interactive points are concentrated in the minimum closed circle required by the mission, with short and repetitive paths。

• The citizens in the chain are trying to:It's a long story. In addition to performing the scheduled Odyssey mission, they explore the protocol ' s secondary pages, the documentation on the reading chain or other dApps in the ecology。

Insight: the most successful odyssey project, the hottest attempt is not a straight line, but a gravity field. it attracts users to automatically stay in the ecology to produce “ unplanned ” interaction。

the user is no longer satisfied with being considered a “ wallet address ” in odyssey 3.0, the end end of the behavioural spectrum is “ chain citizenship ” such citizenship means not only the distribution of rewards but also an endorsement of identity in a multi-chain civilization。

3.mechanism design: ensure &ldquao; win-win &rdquao; mathematical model balanced with game

In the history of the evolution of Web3, early Odyssey was often caught up in &ldquao; Ponzi impasse &rdquao; and ill: the projecter traded future inflation expectations for current false prosperity. To jump out of this circle, the core is to achieve an incentive compatibility. This means that we need to ensure, through rigorous mathematical models, that users are pursuing the path of maximizing their own benefits, fully consistent with the path of agreement to achieve long-term healthy development。

3.1 Incentives to compatible equations (The IC Constrant): Reconstructive games of nature and profit

The marginal cost of a witch attack (Sybil Attack) is almost zero in traditional air drop patterns. In order to protect the interests of real contributors from dilution, next year ' s Odyssey design introduces an IC-based binding equation。

Core Game Model

R(c) provides a comprehensive incentive for honest users to interact in real terms, and C(c) generates hard costs (including Gas, slide points, time spent on funds, etc.). At the same time, the E[R(s) is the expected benefit of an automated script simulation for the witch attacker and C(s) is the cost of the attack (including servers, IP pools, anti-detection algorithms and post-cleaned sinking costs)。

A win-win Nash balance must satisfy:

2.0Times of intervention and evolution:

1. Extremely elevated C(s) (attack resistance):Instead of relying on simple blacklists, the defenses of the coming years have introduced AI behavioral entropy tests. The system analyses the interactive spatial and temporal distribution, the associated entropy of the financial link and the operating “ the human nature ” For suspected accounts, the system is dynamically implemented “ Gas fees are punitive factors ” and they are forced to pay higher transaction costs during non-mainstream hours, thus directly destroying the unit profitability of the script。

2. Depth optimization R(c) (benefit structure):Incentive pool by “ pure governance token ” shift to “ mixed equity package ” This includes: the right to cash flow: the share of direct distribution agreement charges (Real Yield). Privileged assets: Permanent fee relief (Gas Rebate) or interest on cross-agreement borrowing. Leverage of governance: Give governance weights to long-held users to add to &ldquao; real participation &rdquao; not only generate wealth but also power。

3.2Dynamic difficulty reconciliation mechanism (Dynamic Difficology Adjustification, DDA)

FUTURE ODYSSEY IS NO LONGER A STATIC LIST OF TASKS. USING THE BITCOIN ADJUSTMENT ALGORITHM, ADVANCED AGREEMENTS BEGIN TO IMPLEMENT DYNAMIC DIFFICULTY ADJUSTMENTS (DDA)。

Operational logic:

The system automatically senses “ heat overload &rdquo when the number of Internet-wide interactive addresses and total locking warehouse (TVL) surges at short notice as Odyssey enters the eruption period. At this point, the score capture algorithm automatically triggers an increase in difficulty:

• Incremental financial thresholds:The interactive amounts or liquidity locks required to obtain the same credits are periodically increased。

• Increased complexity of missions:From simple “ one key Swap” to “ multi-agreement combination policy ” e.g. loaned in A, pledged in B, provided hedge in C)。

Win-win logic:

• For the protocol: DDA is like a safety valve that prevents a sudden influx of speculative flows from breaking down the mobility pool, avoiding cause & ldquo; rewards depletion & rdquo; resulting cliff crash。

• it protects early, stable builders. &ldquo, the wool party &rdquao, has been naturally filtered because of the difficulty of the task, which has led to a more accurate flow of incentive shares to real users with high netting values。

3.3Prof of Value, PoV

In Odyssey 3.0, &ldquao; address &rdquao; thoroughly judged as a vanity Metrics. The projecter began a complete shift to the PoV model, with the core being the measurement of contribution density。

Contribution density formula:

WE DEFINE CONTRIBUTION DENSITY D AS:

D=sum; Liquidity× Time)+γ × Government_ActivityTotal_Reward

• Liquidity (capital viscosity):measurement of user funds in the ecology “ sedimentation time ” not “ entry is on &rdquo。

• gamma (community contribution factor):it's a reconciliation variable. the addition of gamma can be 2x or even higher for users who are active in the governance of voting, writing technical documents or producing real positive radiation on social networks。

• Total Renewals:As a denominator, it is designed to balance inflation and ensure the value of unit incentives。

Win-win depth resolution:

Through the PoV model, the projecter is no longer given a list of cold wallet addresses, but a true ecological participant profile. Users find that due to the presence of the gamma cause, they also have very high returns. Such mechanisms achieve a harmonious resonance between capital efficiency and human creativity, ensuring that Odyssey is no longer a &ldquao; a &rdquao game; but a real process of value-sharing。

4. TECHNICAL PILLAR: BEHAVIORAL PERCEPTION-BASED ZK INCENTIVE BOTTOM PROTOCOLS

In future paradigm shifts, Odyssey is no longer a front-end &ldquao; mission wall &rdquao; but a bottom-up protocol that automatically captures, analyses and converts user behaviour. Through ZK technology and chain abstraction, the agreement creates a closed circle from behavioural awareness to precision incentives。

4.1behavioural awareness engine: from “ passive punch card ” to “ full chain behaviour tracking ”

The core function of the agreement is to be a chain-wide data reptile and indexer. It no longer relies on the user to manually submit a taskshot, but automatically records the user ' s depth interaction in the DApp via the bottom gateway。

• All-dimensional behavioural modelling:Agreements can capture in real time the depth of mobility of users in the chain, the frequency of transactions, the level of governance participation, and even the length of stay at the front end of the product (proven under the zero-knowledge chain)。

• Dynamic weight analysis:The protocol will model these acts in a multidimensional manner, analysing the user as “ long-term holder (HODL) ”, “ high-frequency mobile provider ” or “ deep governance participant ” This analysis, based on real interaction, allows the Odyssey model from “ mechanical tasks Rdquo; evolution into “ Order of Conduct &rdquo。

4.2ZK-Proof driven privacy analysis and filtering

Upon obtaining behavioural data, the protocol achieves precision screening through ZK-Proof (zero proof of knowledge) technology without disclosing user wallet details and privacy data (PII)。

• ZK-CredentialsUsers do not need “ face ” or expose asset details. Through this bottom-up protocol, the user can present to the projecter the resulting “ the high net value user certificate ” or the “ the senior DeFi player certificate &rdquo。

• The screening effect and the anti-witch:The agreement allows the project party to set “ the advanced access threshold ” For example, the ZK-STARKs validate the user ' s non-duplicative interaction over the past 180 days, generating “ the only true human certificate ” This locks up the space of automated scripts from the bottom to ensure that incentives only flow to the real entities that have been identified by agreement as “ high-quality behaviour &rdquo。

4.3Intended full chain abstraction (Intent-centric & Action)

The agreement not only documents behaviour, but also streamlines the path to participation through the Intent Engine, which provides incentives for interaction。

• Automatic interaction driven by intent:Users need only express &ldquao; I want to participate in the mobility incentive of the agreement &rdquao; this intent is that the bottom-up agreement automatically coordinates cross-chain asset transfers, Gas fee balances and contractual calls。

• Immediate conversion and win-win:this & ldquo; interactive, auto-incentive & rdquo; model, so that the user is no longer beset by cumbersome steps on the chain; and what the projecter captures through the bottom-up agreement is the user ' s most real core intent, not only raising the rate of transformation, but also making the odyssey model truly return to product value itself。

5.future evolution — — from “ marketing activity ” to “ normalization incentive agreement ”

The future of Odyssey will be a complete farewell to “ time-limited ” and characteristic, evolving into a permanent growth module at the protocol code level。

5.1 Embedded incentives (GaaS: Growth-as-a-Service)

Odyssey will no longer be a web page, but a dynamic incentive logic embedded in smart contracts。

• Evolution:to the extent that the user and the agreement produce positive value (e.g., by reducing the slide points and providing long-term liquidity), the contract automatically recognizes and distributes incentives in real time. odyssey became the protocol &ldquao; autopilot mode &rdquao。

5.2Cross-agreement “ Credit & rdquo; (Interoperable Industries)

FUTURE ODYSSEY POINTS WILL HAVE PORTABILITY. YOUR PERFORMANCE IN A LOAN AGREEMENT ODYSSEY WILL BE CONVERTED TO THE INITIAL LEVEL OF B SOCIAL AGREEMENT BY ZK。

• Final form:An ecologically universal “ chain contribution ” to replace fractionation. This cross-arrangement will lead to the creation of a web3 ecology from “ stock interactivity ” to “ incremental co-construction ” and the ultimate trajectories to achieve true global union。

6.The Executive Playbook

odyssey is no longer a &ldquao; a &rdquao; money-scrambling game, but an extremely sophisticated ecological flow and capital fixation project. for the project participants, the core of the implementation effort is the balance of “ the flash of traffic ” and “ and system resistance ” here are 10 of the rules that ensure win-win situations。

6.1Core KPI paradigm shift: from “ vanity ” shift to “ hard core ”

This post is part of our special coverage Syria Protests 2011. In the future, where intentional engines can simulate millions of addresses at low cost, these indicators are highly deceptive。

• INDICATOR A:Sticking TVL. The formula is:

RetentionRatio = TVLT+90TVLPeak

If the proportion is less than 20 per cent, there are serious deficiencies in the design of incentive mechanisms。

• INDICATOR B:Net CONTRIBUTION Score. That is, the sum of the protocol fees generated by a single address compared to the incentive costs it receives。

• INDICATOR C:Governance active entropy. Measuring the true depth of participation of Odyssey users in Snapshot or chain proposals rather than simply brushing tickets。

6.2modular task design: build ladder & ldquo; funnel ”

the most successful odyssey uses “ the 3rd &rdquao; and the architecture, designed to transform big traffic into core citizens。

Base layer (L1) & mdash; — Breaking ice and touchdown

• Target audience:New User / Pan Web3 Player

• Core tasks:Complete base interaction (e.g., one key Swap, social sharing)

• Incentive structure:AWARD OF THE ORDER OF NON-PERFORMANCE (SBT), ACCUMULATION OF FUTURE AIR DROP POINTS

• Retain logic:Extremely low threshold. Creates a first contact through SBT to allow users to leave &ldquo in the ecology; digital footprint &rdquo。

Growth Layer (L2) & mdash; — Liquid Engine

• Target audience:ACTIVE DEALER/ LIQUIDITY PROVIDER (LP)

• Core tasks:Depth liquidity provision, combination position management, cross-chain pledge

• Incentive structure:Incentives, real-time handling fee discount cards

• Retain logic:Rate of return (APY) game. & ldquo; opportunity cost &rdquo。

Ecological Layer (L3) & mdash; — Core Sovereign

• Target audience:Core contributor / developer / governance representative

• Core tasks:Write technical files, submit code patches, initiate effective governance proposals

• Incentive structure:GOVERNANCE WEIGHTED FACTOR, RWA SHARE OF PROCEEDS, ECO-WHITE LIST

• Retain logic:grant “ citizenship ” it is not just the distribution of benefits, but the binding of long-term benefits, making the contributor the ecological master。

6.3Execute Check-list

1. Value closed loop:Does the source of the incentive include the agreement ' s own income

2. Anti-witch depth:Are there accesses to ZK-ID or real person identification systems (e. g. World ID / Gitcoin Passport)

3. Capital glue:Does the task require funds to stay in the agreement for more than 14 days

4. Technical redundancy:Can a contract bear 100 times the daily call

5. Emotional value:is the profile of the mission socialized rather than simple “ digital &rdquo

& mdash; — from “ game ” to “ value symbiotic ”

the odyssey model is essentially a revolution about screening efficiency. when we introduce &ldquo in the text; incentivizing compatible equations & rdquo; with “ behavioral entropy analysis & rdquo; the aim is not only to defend witches from attacks, but also to establish a set of precise value measures in a decentralised anonymous network。

Under this new paradigm, projectors and users are no longer rival zero-sum players. Through the Dynamic Difficulty Reconciliation (DDA) and Value Evidence (PoV) model, we have succeeded in turning simple funds into quantifiable contribution density. This shift has led to a vital by-product, — — and on-chain credit。

credit is not created in a vacuum; it is the &ldquo that the user deposited in countless high americium interactions, long-term lockouts and governance engagements; the digital divide ” in the future ecology, the incentive mechanism will no longer be a mere tool for the distribution of tokens, but rather a melting pot of credit. it allows each real payment to be remembered by code, allowing &ldquao; credibility &rdquao; and becoming a more scarce pass than funding。

Ultimately, the end of Odyssey is not the end of an air drop, but the starting point of the contractual relationship between agreement and citizenship. And when we used math and technology to break the bubble of flow, this layer of solid credit is exactly the fundamental guarantee of Web3 from &ldquao; speculative wasteland &rdquao; moving towards &ldquao; value civilization & rdquao。