Scholarship management tools: 5 platforms for guilds

Scholarship Management Tools: 5 Platforms for Gaming Guilds

It is the accounting layer that follows: assigning assets to scholars, recording performance across games, calculating revenue shares, and maintaining an auditable relationship between player activity and treasury distribution.

Manual spreadsheets can support a small scholarship cohort. They become structurally fragile once a guild operates across several games, wallets, regions, and contractual split models. A manager is no longer tracking only earnings; they are coordinating an asset inventory, player permissions, game-specific performance metrics, payout logic, and governance constraints. Therefore, p2e scholarship management tools should be evaluated as operational infrastructure rather than as simple dashboards.

The platforms below represent five different approaches to this problem. GuildFi’s ezHub focuses on GameFi tooling and scholar analytics. Salad Ventures’ GuildOS is designed as a full-stack operating system for coordinating multiple accounts. Play It Forward DAO’s P2E Board addresses multi-game monitoring at scale. Yield Guild Games uses a SubDAO model to distribute operational responsibility, while Avocado DAO combines custom portals with treasury and token-holder coordination.

Why scholarship operations require dedicated infrastructure

A scholarship program is an asset-allocation system with a revenue-distribution function.

The guild controls or manages game assets, usually NFTs or other in-game positions. Scholars use those assets under a defined operating arrangement. The guild then records activity and earnings, applies the relevant split, and distributes the proceeds between players, managers, the treasury, and sometimes token holders.

That workflow creates several separate data problems:

1. Asset assignment: which wallet or scholar account is using a specific NFT or game position?

2. Activity tracking: what did the scholar do, in which game, and over what period?

3. Performance analysis: is the account generating expected output, or does the manager need to intervene?

4. Revenue accounting: how are earnings converted into the applicable share for each participant?

5. Operational scaling: can the same process be repeated across hundreds or thousands of accounts without introducing inconsistent records?

The technical complexity increases because the underlying games do not share a common data model. One title may expose player performance through an API, another may provide limited on-chain information, and a third may require a separate dashboard or manual reconciliation. A guild tracker built around one game therefore cannot automatically become a general-purpose scholarship management platform.

A scholarship dashboard is useful only when it connects three layers: the asset, the player, and the distribution rule.

This is also why a platform’s feature list should not be read as a guarantee of complete automation. Tracking performance is different from verifying earnings. Recording a wallet relationship is different from enforcing an NFT rental agreement. Calculating a split is different from executing a secure, auditable payout. Those distinctions matter when guild infrastructure moves from a small community operation to a treasury-backed network.

GuildFi’s ezHub: a GameFi operations layer with scholar analytics

GuildFi launched ezHub as a GameFi toolkit with built-in scholarship management capabilities. Its operating model is centered on consolidating several functions that guild managers would otherwise handle through separate tools: scholar management, daily earnings tracking, PvP simulation, and player performance monitoring.

The most relevant feature for guild operations is the connection between player records and performance data. A manager does not only need to know whether a scholar is active; they need a mechanism for comparing output between accounts and identifying patterns that justify a change in allocation, training, or supervision.

The inclusion of daily earnings tracking provides a more granular accounting cycle than a periodic manual report. That granularity is operationally significant. Revenue-sharing systems are sensitive to reporting windows, especially where scholars participate in multiple game economies or where game rewards fluctuate according to player performance and protocol rules.

ezHub’s PvP simulation capability also indicates a layer beyond simple wallet administration. Simulation can support pre-allocation analysis by giving managers a way to assess player performance in a competitive context before making decisions about assets or team composition. The platform should not be treated as a substitute for game-specific validation, however. A simulation metric is useful only if the guild understands what the metric represents and how closely it maps to actual in-game output.

Where ezHub fits in a guild stack

ezHub is most relevant to organizations that need a consolidated GameFi interface rather than a purely financial ledger. Its value is strongest where the guild’s immediate challenge is scholar oversight:

• maintaining visibility into daily earnings;
• comparing player performance;
• coordinating scholarship accounts;
• adding game-specific analytics to operational decisions;
• reducing the number of disconnected interfaces used by managers.

The architectural limitation is implicit in the broader GameFi environment: analytics depend on the quality and availability of the data exposed by each game. No dashboard can manufacture reliable performance data where a title offers incomplete APIs, inconsistent event indexing, or opaque reward logic.

For advanced users, the key question is not whether ezHub has a dashboard. It is whether the dashboard’s data can be reconciled with wallet activity, game-state events, and the guild’s internal distribution ledger. If those systems remain disconnected, the platform improves visibility without fully solving accounting integrity.

GuildOS: treating scholarship management as an operating system

Salad Ventures raised $13.5 million to develop GuildOS, a full-stack operating system intended to help managers coordinate and track multiple scholar accounts across different blockchain games. That positioning is materially broader than a single-game tracker.

A full-stack approach implies that the primary problem is not one missing metric. It is the orchestration of an entire operating workflow: account coordination, scholar monitoring, game-level activity, and administrative control. In a multi-game guild, these functions are often separated across spreadsheets, wallet tools, messaging platforms, and game-specific dashboards. The resulting failure mode is not necessarily visible immediately. Records drift, account ownership becomes ambiguous, and managers apply different assumptions to different cohorts.

GuildOS was introduced alongside Salad Aca, placing the platform in the context of a broader scholarship-management strategy. The significant point is the attempt to formalize the relationship between the management layer and the scholar layer. As the number of accounts grows, the guild needs repeatable procedures for onboarding, tracking, and distributing revenue.

The multi-game problem

Multi-game operations create a normalization problem.

A guild may manage different asset types, reward currencies, player roles, and activity definitions at the same time. One game may measure output through battles, another through resource generation, and another through marketplace activity. A common operating system must either reduce these metrics to a shared internal model or preserve game-specific fields while providing a unified management view.

Those approaches have different consequences:

GuildOS is designed around the need to coordinate multiple accounts across multiple games, but that should not be interpreted as proof that every integration has identical data depth. The relevant engineering question is how the platform handles incomplete or heterogeneous inputs. A unified interface is valuable, but a unified interface with unmarked data gaps can create false precision.

What GuildOS changes for managers

The principal benefit of an operating-system model is procedural consistency. A guild can define a repeatable process for account assignment, performance tracking, and revenue administration instead of allowing each manager to create a local workflow.

That matters in three areas:

• Cohort management: scholars can be organized across games and regions using a consistent administrative model.
• Reporting: managers can compare activity and earnings through a common operational layer.
• Scaling: the guild can add accounts without multiplying the number of independent spreadsheets and manual status checks.

The platform does not remove the need for treasury controls, wallet security, or contract-level review. It also does not eliminate game-specific economic risk. A monitoring system can identify declining performance, but it cannot prevent a game from changing reward emissions, disabling an asset utility, or introducing a new smart contract dependency.

P2E Board: multi-game performance monitoring by Play It Forward DAO

Play It Forward DAO developed P2E Board to help guild managers track scholar performance across multiple games, including Axie Infinity and Pegaxy. The platform was connected to an effort to scale scholarship operations, and Play It Forward DAO raised $6 million in a private round for that broader infrastructure strategy.

P2E Board addresses a practical management requirement: a guild needs to observe scholar activity in more than one title without forcing managers to assemble the reporting layer manually. Its purpose is not simply to display account balances. It is to create a performance-monitoring surface for cohorts whose activity is distributed across different game environments.

That distinction is important because scholarship profitability is not equivalent to wallet balance. A wallet may hold rewards, but the manager still needs to understand how those rewards were generated, whether the account remains productive, and whether the associated asset is being used according to the guild’s operating rules.

Performance data versus revenue data

A multi-game tracker typically operates across at least two conceptual layers:

1. Performance layer: activity, output, progression, or competitive results associated with the scholar.

2. Financial layer: earnings, asset value, reward conversion, and the applicable revenue split.

The two layers are related but not interchangeable. A scholar can show strong game performance while operating in a declining reward environment. Conversely, a temporary reward spike can make an account appear financially productive without indicating durable player quality.

P2E Board’s relevance is therefore strongest in the performance layer. It helps the manager build a more structured view of scholar output across titles. The guild still requires a separate policy for:

• how performance is weighted;
• how different games are compared;
• how earnings are calculated;
• how losses or inactive periods are handled;
• how disputes are reviewed;
• how data is reconciled with on-chain transactions.

A technically mature guild should document these rules before it treats any tracker as an automated decision engine. Otherwise, the platform may centralize data while leaving the most consequential policy decisions implicit.

Multi-game visibility is not the same as cross-game comparability. The first is an interface problem; the second is a governance problem.

Yield Guild Games: from scholarship administration to SubDAO coordination

Yield Guild Games established its scholarship model in 2020 and became one of the early organizations associated with lending NFT assets to players. By March 2022, YGG had managed more than 20,000 active scholars. That scale exposed the limits of a single centralized management workflow.

YGG later evolved its scholarship framework into a SubDAO structure. The model included more than 42 regional and game-focused sub-guilds, with a 70/30 revenue split between the SubDAOs and the primary DAO. In September 2024, YGG published a Guild Protocol Concept Paper describing a further transition in its guild infrastructure.

The significance of this model is architectural. Instead of treating scholarship management as one central queue, YGG distributes operational responsibility among specialized units. A regional or game-focused SubDAO can manage local players, assets, and relationships while remaining connected to a higher-level treasury and governance structure.

Why the SubDAO model matters

A SubDAO can localize decisions that do not scale efficiently at the primary DAO level:

• scholar recruitment and support;
• game-specific asset allocation;
• regional operating procedures;
• local performance assessment;
• community coordination;
• deployment of treasury resources within a defined mandate.

The primary DAO, conversely, can concentrate on capital allocation, protocol-level governance, strategic partnerships, and the rules governing the relationship between the central organization and its SubDAOs.

The 70/30 split is an example of an explicit distribution rule, but it should not be generalized to all scholarship programs. Revenue-sharing percentages vary according to the game, the manager agreement, the guild’s treasury policy, and the responsibilities assigned to each participant. The value of the YGG structure lies less in the specific ratio than in the attempt to encode organizational boundaries into a repeatable economic model.

A SubDAO architecture also introduces new technical and governance requirements. The central DAO needs visibility into asset custody, performance reporting, and treasury flows without necessarily controlling every local decision. That requires standardized reporting schemas, wallet attribution, role permissions, and a dispute-resolution process. Without those controls, decentralization can become fragmented administration rather than modular governance.

Guild Protocol as an infrastructure direction

The Guild Protocol concept represents a move from a single organization’s scholarship operations toward a reusable guild framework. The strategic implication is that guild functionality can be represented as protocol primitives: player coordination, asset access, reputation, rewards, and governance.

That direction has a direct effect on scholarship management tools. A dashboard is an application. A protocol is a coordination layer that can support multiple applications, operators, and guild units. The latter is harder to design because it must define permissions and economic settlement across organizational boundaries.

The critical implementation questions include:

• Who controls the asset while it is allocated to a scholar?
• Which events establish that a scholar has earned a distribution?
• How are disputes represented on-chain or in governance records?
• Can a SubDAO operate independently without breaking central treasury accounting?
• Which data is authoritative when game APIs and blockchain records diverge?

These are not interface details. They determine whether a guild network can scale without losing auditability.

Avocado DAO: custom portals and treasury-linked profit sharing

Avocado DAO uses custom scholarship management portals to monitor scholar performance and automate profit sharing among scholars, the guild treasury, and token holders. This model extends the basic scholarship workflow by adding an additional beneficiary class beyond the player and the organization.

The architecture is consequently more complex. A standard manager-scholar split can be represented as a direct distribution rule. Once token holders participate, the system must define how their entitlement is calculated, which treasury assets are eligible, and how the relationship between operational performance and token-based participation is maintained.

The portal’s role is to connect performance monitoring with distribution logic. That connection is useful only if the underlying data is sufficiently reliable and the rules are explicit. Automated profit sharing can reduce administrative friction, but automation also makes errors systematic. A misclassified account, incorrect reward input, or flawed allocation rule can propagate across the entire distribution cycle.

The three-party distribution model

Avocado’s structure can be understood as three interacting layers:

• Scholar layer: the player performs the in-game activity and receives an agreed share.
• Guild layer: the organization supplies assets, manages operations, and retains a treasury allocation.
• Token-holder layer: eligible holders participate in a distribution mechanism connected to the guild’s economics.

Each layer has a different risk profile. Scholars are exposed to game access and payout conditions. The guild is exposed to asset custody, operational costs, and reward volatility. Token holders are exposed to the quality of the treasury strategy and the design of the distribution mechanism.

A portal that joins these layers must separate the data model for performance from the accounting model for entitlement. That separation allows the guild to audit whether the output was measured correctly before it evaluates whether the distribution was calculated correctly.

This is where custom infrastructure can be stronger than a generic tracker: the portal can reflect the DAO’s specific governance and treasury rules. The trade-off is maintenance. Custom software requires its own integrations, permissions model, security review, and upgrade path as games and chains change.

Comparing the five approaches

These platforms should not be treated as interchangeable products. They solve different portions of the guild infrastructure problem.

The correct selection depends on the guild’s bottleneck. If the problem is basic scholar visibility, a monitoring-focused platform may be sufficient. If the organization operates across many games, account coordination and data normalization become more important. If the guild has a distributed treasury or token-holder economy, governance and settlement are no longer secondary features.

What advanced guild operators should evaluate

The commercial appeal of scholarship management platforms often rests on the promise of automation. The technical evaluation should be stricter. A guild needs to establish whether the platform is merely aggregating information or whether it supports reliable operational settlement.

The following dimensions are more useful than a generic feature checklist.

Data provenance

Can the manager identify where each performance and earnings field originates? Data may come from a game API, an indexed blockchain event, an RPC node, or manual input. Those sources have different reliability and latency characteristics.

A platform that does not expose provenance can still be useful for operations, but it should not be treated as an authoritative accounting system without independent reconciliation.

Wallet and account attribution

Scholar tracking depends on a stable relationship between the player, the game account, and the wallet or asset assigned to that player. If those relationships are recorded inconsistently, the guild cannot reliably calculate individual performance or revenue share.

This is particularly relevant when assets move between cohorts, managers, or SubDAOs. The system needs an allocation history, not only a current ownership field.

Split-rule flexibility

Guilds do not operate under one universal percentage. Rules vary by game, cohort, region, manager responsibility, and asset type. A platform should support explicit, versioned distribution policies rather than embedding a single fixed split.

The YGG 70/30 model demonstrates why this matters: it is a defined organizational arrangement, not a market-wide standard.

Integration resilience

GameFi integrations are exposed to API changes, chain congestion, contract upgrades, and changes in game reward logic. A platform should make failures visible. Silent gaps are more dangerous than visible downtime because they can produce incomplete reports that appear valid.

The use of RPC nodes and indexers is not itself a guarantee of accuracy. The guild must understand how the platform handles reorganizations, delayed events, duplicate transactions, and cross-chain identity.

Security boundaries

Scholarship infrastructure touches valuable assets and distribution flows. Operational convenience should not require unnecessary custody concentration. Guilds should distinguish between:

• viewing permissions;
• account-management permissions;
• asset-transfer permissions;
• payout authorization;
• governance execution.

A dashboard that can monitor an NFT does not need the same authority as a treasury contract that can transfer it. Separating those permissions reduces the blast radius of an application compromise.

Governance integration

For DAO-based guilds, the management layer must connect to governance without turning every operational action into a vote. Routine assignments and performance reviews usually require delegated authority. Treasury policy changes, contract upgrades, and major asset allocations may require community approval.

The design challenge is to specify which actions are delegated, which are permissionless, and which require governance execution. Without that separation, the DAO either becomes operationally slow or grants excessive authority to a small manager group.

The limits of automation in scholarship programs

Automation improves repeatability, but it does not eliminate the underlying risks of Web3 gaming economies.

A tool can track a scholar’s activity while the game’s reward schedule changes. It can automate a revenue split while the relevant token loses liquidity. It can record an asset assignment while the underlying smart contract contains a vulnerability or changes its permissions. It can identify performance differences without explaining whether those differences result from player skill, asset quality, matchmaking, game updates, or temporary incentives.

The most reliable architecture therefore uses automation for mechanical work and reserves policy decisions for documented human or governance processes.

A practical division looks like this:

1. Automate ingestion: collect game and blockchain data through defined integrations.

2. Normalize carefully: preserve game-specific fields instead of collapsing every metric into one opaque score.

3. Reconcile independently: compare platform reports with wallet transactions and treasury records.

4. Version distribution rules: record when a split changes and which cohort it applies to.

5. Escalate exceptions: route missing data, disputed performance, or unusual transactions to manual review.

6. Restrict execution rights: keep monitoring permissions separate from asset-transfer and payout authority.

This design is less attractive than the claim of fully autonomous guild operations, but it is more compatible with auditability and long-term maintenance.

Choosing infrastructure by guild maturity

Early-stage guilds often need visibility before they need protocol-level decentralization. A consolidated dashboard such as ezHub may address immediate scholar tracking and earnings-monitoring requirements. A multi-game organization may benefit more from GuildOS or P2E Board, depending on whether its dominant problem is broad account coordination or performance comparison.

Larger organizations face a different constraint. Once a guild has regional operators, specialized game teams, or token-holder participation, the question becomes organizational architecture. YGG’s SubDAO model addresses this through distributed units and a central governance relationship. Avocado DAO’s custom portals address it through a portal connected to performance monitoring and multi-party profit sharing.

There is no universal progression path, but the technical sequence is usually consistent:

• first establish reliable identity and asset attribution;
• then standardize performance reporting;
• then formalize revenue calculations;
• finally introduce delegated governance and automated settlement.

Reversing that order creates avoidable risk. A DAO cannot govern an economic process that it cannot measure, and a treasury cannot automate distributions that it cannot attribute.

Scale does not begin with more scholars. It begins when the guild can reproduce the same accounting decision across every account, game, and operating unit.

The infrastructure implication for GameFi guilds

The next generation of gaming guilds will be defined less by the number of NFTs they control than by the quality of their coordination layer.

Scholarship programs were initially organized around asset access: a guild owned an NFT, a player used it, and the resulting rewards were divided. That model was sufficient while cohorts were small and game economies were relatively simple. It becomes inadequate when the organization manages thousands of accounts, multiple chains, regional units, and token-linked treasury policies.

The five platforms examined here reflect the main architectural responses:

• centralized GameFi tooling;
• full-stack account orchestration;
• multi-game performance monitoring;
• SubDAO-based operational delegation;
• custom portals for treasury-linked distribution.

Each approach solves a different failure mode. None eliminates market volatility, smart contract risk, or the need for governance discipline. The practical advantage comes from making the value flow visible and repeatable: which asset was allocated, which player generated the activity, which rules applied, and where the resulting value moved.

For developers and guild operators, that is the durable standard. Scholarship management tools should not merely reduce spreadsheet work. They should establish a verifiable coordination layer between players, assets, game data, and treasury policy. As GameFi networks become more interoperable, that layer will determine whether guilds can scale as resilient economic systems or remain collections of manually reconciled accounts.