Ranked & Reviewed
Best Incentive & Grant Program Operators
Incentive and grant program operators are the firms a blockchain network or DAO brings in to design an incentive program, administer its grants, distribute rewards to users, or evaluate independently whether the spending worked. This ranking scores each one on six published criteria at equal weight, using only what the operator itself discloses.
No money changes hands. This is a non-commercial project: no advertising, no sponsored placements, and no affiliate or referral links. Links to the services below earn us nothing. Every overall score is the plain average of the criteria shown on the page, so you can check the arithmetic yourself — see our rating methodology and how the site is funded.
By Dan Reyes · Last checked Sep 22, 2026
Best Incentive & Grant Program Operators, ranked by score
Castle Labs is a research and advisory firm working for crypto protocols. Posting as Castle Capital, it assessed Arbitrum DAO's incentive programs with DefiLlama Research as the DAO's research member, and it publishes retention analyses of incentive programs backed by public Dune dashboards.
Pros
- Names each Arbitrum program with its period and ARB amount, and covers programs on zkSync, Sonic, Optimism and Avalanche
- Uses a stated four-part evaluation framework and defines its retention measure
- Publishes a public Dune dashboard for its retention case study
Cons
- Its conflict disclosure is a general statement, with no client list set against it
- Lists Arbitrum ecosystem projects among clients of its paid research while evaluating programs they take part in
- Sybil and farming risk is covered only in passing
Gitcoin runs the Gitcoin Grants public-goods funding rounds for the Ethereum ecosystem. It first used quadratic funding in 2019 and now runs several mechanisms side by side, including retroactive funding and private voting. Its site also serves as a directory of funding mechanisms, platforms and case studies; it closed its Grants Stack product on 31 May 2025.
Pros
- Names rounds and domains with dates, networks and matching amounts, such as GG24 Developer Tooling on Arbitrum, 14 to 28 October 2025
- Describes a specific sybil defence: Passport score thresholds, no matching for donations under $1, and cluster-based matching
- Historical grants data can be downloaded as CSV or Parquet without a login
Cons
- No conflict-of-interest policy; a 2024 retrospective recommended one, but none has been published since
- Retrospectives report money and participation, not what grantees achieved
- The open data portal is an archive of the closed Grants Stack, with no equivalent for GG24
Metrom is a liquidity-incentive platform that protocols use to run KPI-based, range-based and points campaigns for liquidity providers on DEXs and lending markets across chains including Base, Arbitrum, Scroll, Sonic and Aptos. It computes rewards off-chain and publishes them on-chain every hour for providers to claim.
Pros
- Names programs with network, dates and amounts, such as Orcadium on Swellchain: 2,000,000 wSWELL, 15 August to 15 September 2025
- Its Lens case study compares a flat-emission leg with a KPI-based leg against stated TVL targets, including the budget left unspent
- Every campaign's chain, dates and reward amounts can be read without an account
Cons
- No sybil or anti-farming mechanism is described beyond address allow and block lists
- The effectiveness report is self-published, not independent
- Names no legal entity and discloses no ties to campaign sponsors
Merkl is on-chain infrastructure for distributing rewards and tokens, used by protocols and chains to run incentive campaigns with eligibility rules. Rewards from all campaigns roll into one Merkle root per chain, updated roughly every eight hours, and anyone can dispute an update during a short window. Merkl states it has distributed more than $1.8 billion across 60-plus chains.
Pros
- Documents its distribution mechanism: one Merkle root per chain, a public reward file per update, and a dispute window with a forfeitable bond
- Case studies describe concrete anti-farming rules, such as World ID verification with per-user caps on World Chain
- Live campaigns, APRs and daily rewards are public without a login
Cons
- Case-study outcome figures have no method, and one page says results are not solely attributable to the program
- Some named campaigns give no amount
- No disclosure of ties to campaign creators or reward recipients
Questbook is a grants-management platform for DAOs and foundations: applications, milestones and payouts run through it, with payouts made on-chain from multisigs. It proposed and operated Arbitrum DAO's Delegated Domain Allocation program, in which elected domain allocators award grants, and from the third season served as the program's platform provider only.
Pros
- Arbitrum results are disclosed season by season, approved and disbursed
- Concrete anti-abuse controls: milestone payouts, a second allocator's approval above $25,000, KYC of every team member and social-account verification
- Payouts are on-chain and the program dashboard is public
Cons
- No conflict-of-interest policy, although a delegate questioned Questbook being paid both to manage the program and to host it
- The only effectiveness review looked at a handful of top grantees, with a thin method
- Its own site publishes no program reports; the evidence lives on the Arbitrum forum
Thrive Protocol runs grant programs for blockchain ecosystems, with payouts tied to milestones that its reviewers check, and a separate program site for each ecosystem, including Hedera, Base and zkVerify. It ran Arbitrum DAO's ThankARB grants framework after acquiring Plurality Labs, and Thrive Polygon Season 1. Its main site now leads with a verification product for private-market investors.
Pros
- Its Polygon Season 1 impact report gives amounts, milestone completion and the reviewer scoring method
- Describes its abuse controls: reviewer consensus before any payout and a user-overlap check across grantees
- States ARB distributed per Arbitrum milestone
Cons
- The main website has moved to an investor product, which leaves the grants business less clearly documented
- The ThankARB dashboard it linked no longer resolves, and current program pages give budgets rather than amounts paid
- No conflict-of-interest policy or disclosure of ties to grantees
Blockworks Advisory is the protocol advisory arm of Blockworks Research, listing economic design, DAO operations and grant-program administration among its services. As a research member of Arbitrum's Research and Development Collective it published statistical retrospectives of Arbitrum's STIP and LTIPP incentive programs; that work appears under the Blockworks Research name.
Pros
- States program size and results per dollar spent: 30.65 million ARB allocated to LTIPP, about 22.87 million distributed
- States its methods: Mann-Whitney U tests and market-share normalisation for LTIPP, synthetic control for its STIP studies
- Reports are free to read without an account
Cons
- No conflict-of-interest disclosure in the reports or on the advisory page
- Covers farming and sybil risk only by quoting grantees, with no detection method of its own
- Publishes no dataset or dashboard for the programs it evaluated
OpenBlock Labs is a blockchain data and modelling firm offering incentive design, protocol analytics and sybil detection. For Arbitrum DAO it monitored the Short-Term Incentive Program (STIP) under a DAO procurement, and published efficacy and sybil analyses of STIP and of the Long-Term Incentives Pilot Program (LTIPP).
Pros
- Publishes its sybil-detection method: funding-source thresholds followed by Louvain clustering on an asset-transfer graph
- Its STIP efficacy report states its metrics and normalises growth by the value of ARB claimed, comparing incentivised protocols with others
- Covered the whole 50 million ARB STIP across 30 protocols, and later LTIPP
Cons
- No disclosure of ties to incentive recipients, although it also sells incentive services to protocols
- The public STIP dashboards it linked on the governance forum now return 404
- Its public research list has had no new report since 2024
Galxe is a web3 growth platform that projects use to run quest campaigns, token distributions and airdrops, with identity and reputation checks built in. It reports that 7,700-plus partner projects and 36 million users used it in 2025. It also runs its own layer-1 network, Gravity, which sits outside this ranking.
Pros
- Documents its anti-sybil tooling: Sumsub-based identity checks with a non-transferable Passport credential, and Humanity Score thresholds campaigns can require
- Names many campaigns across networks, including Ripple's 400,000 XRP Earndrop on XRPL
- Publishes a Dune dashboard of platform-wide metrics that opens without a login
Cons
- Reward amounts are stated for only a few programs; most case studies report participants rather than volume
- Case-study outcome figures come with no stated method
- No disclosure of ties to client projects, although it runs its own chain and token
Turtle describes itself as a distribution protocol for DeFi yield that connects liquidity providers with protocols looking for capital. Protocols commit a budget of token emissions to Liquidity Campaigns, and rewards go to participating wallets in proportion to the liquidity each contributed. Its Streams product lets partners set up reward streams that users claim with Merkle proofs.
Pros
- Publishes a campaign case study with outcome figures: Avalanche Awakening, 50,000 AVAX in incentives, $84.5M peak TVL and $40M still in place at day 90
- Publishes a token transparency filing, quarterly financial reports and its legal entity
- States that a Due Diligence Council, separate from the commercial team, reviews each vault before listing
Cons
- Reward amounts are stated for only one campaign; other named deals give liquidity figures or a name only
- No campaign dashboard or data export without an API key
- Paid by the protocols whose campaigns it runs, with no list of those relationships
Karma builds grant-management software, including the Grantee Accountability Protocol (GAP), in which grantees post milestones and progress updates on-chain as Ethereum Attestation Service attestations. Programs use its platform for applications, review, payouts and impact tracking; it names Optimism Grants Season 8 and Polygon's funding programs among its deployments.
Pros
- Grantee milestones and updates are stored as on-chain attestations and shown on public community pages
- Names deployments with stated budgets, such as Optimism Grants Season 8 (6.29 million OP)
- Added identity and business checks before payouts in February 2026
Cons
- States program budgets, never amounts actually distributed
- Its Celo case study reports outcomes with no method
- Its own project appears among grantees in a community it serves, with no conflict-of-interest disclosure
Layer3 runs a quest platform that chains and protocols use to set up on-chain tasks, which it calls activations, and to pay rewards to the users who complete them. Each completion is recorded on-chain as a CUBE, an ERC-721 credential. Its homepage cites more than 3 million users across 40-plus chains.
Pros
- Names chain programs it ran in 2024 for Arbitrum, Optimism, Base and Linea, with token amounts for the Arbitrum and Optimism allocations
- Publishes a client case study with retention figures (Ondo: 14,769 users, 33.4% retention)
- Reward credentials are recorded on-chain and the CUBE contracts are published on GitHub
Cons
- Reward amounts are missing for the Linea, Base and Polygon programs
- Anti-sybil measures are described only as targeting filters, not as a detection mechanism
- No first-party dashboard and no disclosure of ties to the chains that fund its rewards
Boost is an on-chain incentive protocol. Teams fund a budget and the protocol pays users when it verifies an on-chain action, or rewards them for holding a position over time, on Base, Optimism, Arbitrum and other EVM chains. It takes a 10% protocol fee on one-time action rewards.
Pros
- Documents concrete eligibility controls: address allowlists, minimum-balance and new-capital-only filters, and World ID
- An unauthenticated API returns campaign configurations, budgets and totals distributed
- Protocol code is published under GPL-3.0 and actively maintained
Cons
- Names no client programs and publishes no case studies
- No effectiveness report of any kind
- Names no legal entity and discloses no ties to campaign funders
At a glance
| Service | Role | Score | Best for |
|---|---|---|---|
| Castle Labs | Program evaluation | 7.5 | Program assessments and retention analysis |
| Gitcoin | Grants administration | 6.7 | Public-goods funding rounds |
| Metrom | Reward distribution | 6.7 | KPI-linked liquidity campaigns with open data |
| Merkl | Reward distribution | 6.3 | On-chain incentive distribution at scale |
| Questbook | Grants administration | 6.3 | Milestone-based DAO grant programs |
| Thrive Protocol | Grants administration | 6.3 | Milestone-based ecosystem grants |
| Blockworks Advisory | Program evaluation | 5.8 | Statistical program retrospectives |
| OpenBlock Labs | Program evaluation | 5.8 | Incentive efficacy and sybil analysis |
| Galxe | Reward distribution | 5.5 | Quest campaigns and airdrops with identity checks |
| Turtle | Reward distribution | 4.2 | Liquidity campaigns through a vetted LP network |
| Karma | Grants administration | 3.8 | On-chain grantee accountability |
| Layer3 | Reward distribution | 3.8 | Quest campaigns with on-chain rewards |
| Boost | Reward distribution | 1.7 | Self-serve on-chain reward campaigns |
What does an incentive program operator do?
When a chain or a DAO decides to spend part of its treasury to attract users, liquidity or builders, somebody has to decide the rules, move the money and check the result. Operators are the firms that take on those jobs. Some design the program: who is eligible, what behaviour is rewarded, how long it runs. Some administer grants, reviewing applications and paying out against milestones. Some handle distribution, calculating each address's share and delivering it on-chain. Others are brought in afterwards to measure whether the money bought anything that lasted.
How is a grant program different from a liquidity incentive?
A grant pays a team to build something, usually in tranches tied to milestones, and is judged on whether the work was delivered. A liquidity or usage incentive pays users directly, as tokens streamed to people who deposit, trade or borrow, and is judged on whether that activity stays once the payments stop. The two need different controls: a grant program needs review and follow-up on delivery, while a user incentive needs defences against addresses that exist only to collect rewards.
How can you tell whether an incentive program worked?
The honest test is what remains after the incentives end. A useful evaluation compares activity before, during and after the program, looks at the cost of each unit of retained liquidity or each retained user rather than the peak, and says how it separated the program's effect from market conditions. A report that only quotes the highest deposits reached while rewards were flowing measures the spend, not the outcome.
What is sybil farming, and how do operators defend against it?
Sybil farming is one participant splitting activity across many addresses to collect rewards meant for many people. Defences include minimum holding periods, rewards that scale with time rather than with a single deposit, clustering of addresses funded from the same source, identity or reputation checks, and clawback of rewards found to be farmed. Describing the mechanism publicly is what lets a program's funder check that it exists.
What to check before relying on an operator
- Does it name past programs, with the network and dates, so they can be looked up?
- Does it state how much it distributed, program by program?
- Has it published results with metrics, including the programs that did not work?
- Can the program data be inspected without an account?
- Does it disclose any stake in, or relationship with, the teams that receive the money?
Key terms
Allocator: the person or committee deciding which applicants receive grant funding. Retroactive funding: rewards paid for impact already delivered, rather than for promised work. Merkle distribution: publishing one hash that commits to every recipient's amount, so each address can claim and prove its share on-chain. Retention: the share of incentivised activity still present after rewards stop.
How we score this category
These are the firms that design incentive programs for chains and DAOs, administer their grants, distribute the rewards, or evaluate whether the money worked. Each is scored only on what it publishes about its own programs, read from its own pages or the governance forum where the program was run. Every criterion uses a fixed scale of marks, and where an operator publishes nothing on a criterion it scores 0 — silence is recorded as a fact, never filled in with an assumption.
Every service in this ranking is scored 0–10 against the same 6 criteria, each carrying equal weight (17% apiece). The overall score is their plain average, rounded to one decimal place, and each review prints the individual numbers and the arithmetic so you can reproduce the result yourself.
What each criterion covers
- Named programs17% of the score
- How many programs the operator names individually, each with the network and the period it ran. 0 for none, 5 for one or two, 8 for three or four, 10 for five or more. For an evaluator, the programs it assessed count.
- Disclosed volume17% of the score
- Whether the amount distributed is stated for the programs it names. 0 if no amount is published, 5 if only partly — an aggregate total, or figures for some programs — and 10 if the amount is stated for every named program.
- Impact report17% of the score
- Whether a public report on the effectiveness of its programs exists. 0 for none, 5 for a report without metrics, 10 for a report that gives metrics and states how they were measured.
- Abuse protection17% of the score
- Whether measures against sybil attacks and farming are described. 0 if not addressed, 5 if they are mentioned, 10 if the mechanism is actually described.
- Open data17% of the score
- Whether program data can be inspected without an account. 0 for none, 5 if dashboards or exports are partly open, 10 if the data is fully open without a login.
- Independence17% of the score
- Whether the operator discloses ties to the recipients of the funds it handles. 0 for no disclosure, 5 for a general statement, 10 for a written policy plus a list of the relationships.
What does not affect a score
Nothing commercial, because there is nothing commercial to affect it. This is a non-commercial project: no advertising, no sponsored placements, and no affiliate or referral links anywhere on the site. Links to the services above earn us nothing, so no provider can buy a score, a rank, or an entry in this list. Where two services finish level, they are listed alphabetically rather than ordered silently.
The process across all categories, including how often we re-check, is set out in our ratings methodology.
Frequently asked questions
Which organisations are included in this ranking?
Organisations that do at least one of four jobs for a chain or a DAO: design an incentive program, administer grants, distribute rewards technically, or evaluate a program's effectiveness independently. Recipients of incentives, chain foundations and venture investors are left out, even where they run programs of their own.
Why does an operator score 0 on some criteria?
Because nothing on that criterion is published where we could read it. Silence is scored as 0 and the review says "not published" next to the date we looked. It records what is public, not what a firm may do privately; if an operator publishes the missing information, the mark changes.
Can a large operator and a small one be compared fairly?
The rubric scores disclosure, not size. A small operator that names three programs, states what each distributed and publishes the data scores above a large one that publishes none of it. Read the role column too: an evaluator and a distribution protocol do different jobs.
Did any operator pay to be listed or reviewed?
No. Coin Currents Daily is non-commercial: no advertising, no sponsored placements and no affiliate or referral links. No operator was asked for, or offered, anything in connection with this ranking.
How current are the scores?
Every mark carries the date its source page was read, and the page shows when the ranking was last checked. Operators change their sites and programs without notice, so trust those dates rather than an assumed update cycle, and tell us if a source has changed.
Rankings are editorial. Nothing here is financial advice. Editorial policy · How we score · How we're funded.