Demand: AI teams需求侧：AI 团队
Bring a model need, budget, task spec, quality bar, and rights model. Humanbased turns that demand into a campaign the market can execute. 带来模型需求、预算、任务规格、质量标准与权利模型。Humanbased 把这些需求转化为市场可以执行的数据活动。
Not a catalog. A marketplace OS.不是目录，是 marketplace OS。
AI data is not inventory. It is production.AI 数据不是库存，而是一套生产系统。
Humanbased is the marketplace OS for a category where supply often does not exist until demand arrives. Campaign Builder runs the data factory; Data Lineage turns accepted work into owned, attributed, distributable supply. Humanbased 是一个面向 AI 数据的 marketplace OS：这个品类里的供给，往往要在需求出现之后才被生产出来。Campaign Builder 运行数据工厂；Data Lineage 把被采纳的工作转化为可拥有、可署名、可分发的供给。
- Demand需求 Demand creates the brief需求先定义生产 brief
- Production生产 Campaign Builder governs the factoryCampaign Builder 治理工厂流程
- Lineage谱系 Data Lineage records attributionData Lineage 记录署名与所有权
- Distribution分发 Value moves with the asset价值随资产一起流转
Demand-side engine
Campaign Builder turns requests into data factories.
This is the factory floor of the marketplace. It defines objectives, task formats, contributor pools, agent assistance, review paths, quality gates, budgets, and acceptance rules so specialized AI data can be produced rather than merely sourced. 这是 marketplace 的数据工厂界面。它定义目标、任务形式、贡献者池、agent 协助、审核路径、质量门槛、预算与验收规则，让专业 AI 数据被生产出来，而不是被简单“采购”。
Airbnb has homes. Amazon has SKUs. AI data needs a factory first.Airbnb 有房源，Amazon 有 SKU。AI 数据首先需要工厂。
Traditional marketplaces begin with existing inventory. AI data marketplaces begin earlier: a model team knows what it needs, but the supply may not exist yet. 传统 marketplace 从已经存在的库存开始。AI 数据 marketplace 要更早开始：模型团队知道自己需要什么，但对应的供给可能还不存在。
That supply has to be commissioned, generated, reviewed, attributed, packaged, licensed, and sometimes reused. Humanbased is built for that full loop: production first, marketplace second, lineage always attached. 这种供给需要被委托、生成、审核、署名、打包、授权，并且经常会被复用。Humanbased 面向的是完整闭环：先生产，再形成市场，并且始终保留数据谱系。
The platform creates the asset between demand and supply.平台在需求与供给之间，创造可流通的数据资产。
Supply: contributors and experts供给侧：贡献者与专家
Complete accepted work, get paid primarily in stable-coin
payouts via
USDC
, build a portable contribution record, keep attribution, and
stay connected to future value when accepted work becomes a
reusable asset.
完成被采纳的工作，主要通过
USDC
稳定币结算获得报酬，积累可携带的贡献记录，保留署名，并在被采纳的工作成为可复用资产时继续连接未来价值。
Operator supply: teams and organizations运营型供给：团队与组织
Operate specialized supply groups with assignment, review, ownership, attribution, and payout rules that match each campaign. 运营专业化供给团队，并为每个数据活动配置匹配的任务分派、审核、所有权、署名与报酬规则。
Agent supply: automation buildersAgent 供给：自动化开发者
Plug pre-labeling, evaluation, QA, routing, auto-valuation, and campaign automation into the same production marketplace. 把预标注、评测、质检、任务路由、自动估值与数据活动自动化，接入同一套生产型 marketplace。
The operating loop that turns demand into distributable supply.把需求转化为可分发供给的操作闭环。
- Specify demand创建数据活动 Define the model objective, task format, contributor profile, acceptance criteria, budget, and rights model. 定义目标、任务形式、验收标准、贡献者画像、预算与权利模型。
- Run the factory治理生产流程 Use Campaign Builder to route work through people, experts, teams, organizations, agents, review paths, and quality gates. 通过 Campaign Builder，把工作分发给个人、专家、团队、组织与 agent，并配置审核路径与质量门槛。
- Accept work采纳贡献 Combine human review, expert judgment, agent checks, benchmarks, and provenance logs before the work becomes part of the asset. 在采纳工作前，结合人工审核、专家判断、agent 检查、基准测试与来源日志。
- Record ownership绑定数据谱系 Use Data Lineage to connect accepted work to attribution, provenance, ownership, and royalty eligibility. 通过 Data Lineage，把被采纳的工作连接到署名、来源溯源、所有权与版税资格。
- Distribute value分发价值 Support upfront payment, service fees, access fees, ownership transfer, marketplace cuts, and future royalty distribution. 支持预付款、服务费、访问费、所有权转移、市场分成与未来的版税分配。
Supply-side foundation
Data Lineage turns production into ownable supply.
This is what makes the marketplace work after production. Once
work is accepted, Data Lineage records who contributed, what was
accepted, which rights attach, and who can participate when the
asset is distributed or reused. Humanbased can anchor ownership
onchain through
Base
and
Ethereum
so attribution, access, payouts, and royalty eligibility travel
with the data.
这是生产完成后 marketplace 得以运转的基础。工作一经采纳，Data Lineage 记录谁贡献了什么、哪些成果被采纳、哪些权利随之绑定，以及资产被分发或复用时谁可以参与价值分配。Humanbased 可以通过
Base
与
Ethereum
将所有权锚定到链上，让署名、访问、报酬与版税资格随数据一起流转。
- Ownership records for accepted assets被采纳资产的所有权记录
- Attribution that survives assembly and reuse在组装与复用中持续存在的署名
- Distribution logic for payouts and royalties面向报酬与版税的分发逻辑
Specialized AI data starts as work, then becomes supply.专业化 AI 数据先是工作，然后才成为供给。
World modeling世界模型
Physical interaction traces, embodied task demonstrations, environment annotations, failure cases, and simulation feedback can move through the same production and lineage loop. 物理交互轨迹、具身任务演示、环境标注、失败案例与仿真反馈，都可以进入同一套生产与谱系闭环。
Expertise knowledge专家知识
Legal, coding, medical, financial, and scientific judgment often begins as expert review, annotation, reasoning, or validation work before becoming reusable model data. 法律、代码、医疗、金融与科学判断，通常先表现为专家审核、标注、推理或验证工作，然后才沉淀为可复用的模型数据。
Image and video图像与视频
Consented media, scene descriptions, temporal consistency checks, safety review, preference ratings, and multimodal QA can retain provenance and rights context. 获得同意的媒体、场景描述、时序一致性检查、安全审核、偏好评分与多模态质检，可以保留来源溯源与权利上下文。
Voice语音
Licensed speech, consented recordings, accent coverage, dialogue review, pronunciation QA, and voice preference judgments can be produced with attribution attached. 已授权语音、获得同意的录音、口音覆盖、对话审核、发音质检与语音偏好判断，都可以在保留署名的前提下被生产出来。
Campaign Builder creates the market. Data Lineage lets it scale.Campaign Builder 创造市场，Data Lineage 让市场规模化。
This is the positioning: Humanbased is not a labor marketplace, not a dataset catalog, and not a one-off services layer. It is the OS that lets AI data demand create new supply, then lets that supply circulate with ownership and attribution intact. 这就是定位：Humanbased 不是劳动力 marketplace，不是数据集目录，也不是一次性服务层。它是一套 OS，让 AI 数据需求创造新的供给，并让这些供给在保留所有权与署名的前提下持续流通。