FMP vs Polygon.io depends on the data product you are buildingFMP与Polygon.io怎么选，取决于你要构建的数据产品
Start with FMP when the core job is company research: statements, ratios, profiles, estimates, screeners, economic series or research-ready company context. Start with Polygon.io’s current brand, Massive, when the core job is U.S. market-data infrastructure: trades, quotes, aggregates, live WebSocket delivery, options or bulk historical files. This is a starting hypothesis, not a universal winner.
当核心任务是公司研究——财务报表、比率、公司资料、分析师预期、筛选、宏观序列或可直接用于研究的公司上下文——可以先测试FMP。当核心任务是美国市场数据基础设施——逐笔成交、报价、聚合K线、WebSocket实时传输、期权或批量历史文件——可以先测试Polygon.io的现品牌Massive。这只是验证起点，不是绝对胜负。
Prototype FMP first优先原型测试FMP
Equity research, fundamental screens, comparable-company analysis, statement pipelines, valuation inputs and company monitoring.
股票研究、基本面筛选、可比公司分析、报表管道、估值输入以及公司层面的持续监测。
Specify the contract先写清数据契约
Asset class, symbol universe, granularity, freshness, history, adjustments, delivery mode, concurrency, display and redistribution rights.
资产类别、标的范围、粒度、新鲜度、历史长度、复权、传输方式、并发，以及展示和再分发权利。
Prototype Massive first优先原型测试Massive
Live market interfaces, trade and quote analytics, intraday bars, options workflows, event monitoring and tick-level backtesting.
实时行情界面、成交与报价分析、日内K线、期权工作流、市场事件监控以及逐笔级回测。
Compare FMP and Polygon.io (Massive) across the full data lifecycle按完整数据生命周期比较FMP与Polygon.io（Massive）
Official sources checked: Polygon.io is now Massive announcement, Massive API documentation, Massive stocks pricing, and FMP quickstart. Product pages, account entitlements and agreements can change.
已核验Polygon.io更名公告、Massive API文档、Massive股票价格页和FMP快速入门。产品页、账户权限和协议可能变化，上线前需重新检查。
Match each workload to the evidence it needs让每类工作负载匹配所需证据
Equity research and screening股票研究与筛选
Start with statements, ratios, profiles, estimates, fiscal periods, revisions and point-in-time behavior. FMP is a natural first candidate, but compare Massive financials if the market-data stack already lives there.
先验证报表、比率、资料、预期、财年、修订和时点行为。FMP是自然的首测候选；若行情栈已在Massive，也应比较其财务数据。
Real-time dashboard or alerting实时看板与提醒
Test WebSocket subscriptions, trade and quote entitlement, reconnects, duplicate events, stale detection, queue pressure and snapshot recovery. Massive’s documented delivery surface makes it the first prototype.
测试WebSocket订阅、成交与报价权限、重连、重复事件、过期检测、队列压力和快照恢复。Massive的文档化传输面使其更适合作为首个原型。
Historical backtesting历史回测
For tick, quote or bar-scale history, test Massive Flat Files. For accounting factors and valuation histories, test FMP. In both cases preserve delisted symbols, corporate actions, timestamps and the data version used.
逐笔、报价或K线级历史可测试Massive Flat Files；会计因子和估值历史可测试FMP。两者都要保留退市标的、公司行动、时间戳与数据版本。
Options and multi-asset products期权与多资产产品
Massive documents separate options, futures, indices, forex and crypto surfaces. Map each asset class to its plan, feed, history and exchange rights rather than assuming one stock subscription covers everything.
Massive为期权、期货、指数、外汇和加密资产提供独立产品面。应逐类映射套餐、数据源、历史和交易所权利，不能假设一个股票订阅覆盖全部。
AI research and agent answersAI研究与Agent回答
Both providers can become tool surfaces. Require explicit parameters, bounded date ranges, source timestamps, citation-ready records, quota controls and a refusal path when the requested dataset is not licensed.
两家数据源都可以成为工具面。需强制显式参数、有限日期范围、来源时间戳、可引用记录、额度控制，以及在数据未获许可时的拒绝路径。
Customer-facing data product面向客户的数据产品
Do not infer rights from API access. Confirm display, caching, derived outputs, redistribution, user count, geography, attribution, exchange fees and termination handling in writing.
不能从“能调用API”推断展示权。应书面确认展示、缓存、衍生输出、再分发、用户数、地域、署名、交易所费用和终止后的处理。
A hybrid design can separate research facts from market events混合架构可以把研究事实与市场事件分开
A product does not have to force every request through one provider. It can collect company facts on a scheduled research lane and consume live or bulk market data on a separate event lane. The critical design decision is to keep provider-native raw records, then normalize into a canonical model with source, retrieval time, entitlement class and transformation version.
产品不必把所有请求都压到一家数据源。可以通过定时研究通道采集公司事实，通过独立事件通道消费实时或批量市场数据。关键是保留供应商原生记录，再规范化到包含来源、获取时间、权限类别与转换版本的统一模型。
Provider-aware control plane供应商感知控制层
- Credential and entitlement boundaries
- Quotas, retries and circuit breakers
- Raw response archive and provenance
- Identifier, time and corporate-action rules
- 凭据与权限边界
- 额度、重试与熔断
- 原始响应归档与来源
- 标识、时间与公司行动规则
Product outputs产品输出
Research views, alerts, backtests, AI tools and customer interfaces with source disclosure.
带来源披露的研究视图、提醒、回测、AI工具与客户界面。
Run the same acceptance test against both APIs对两套API运行同一份验收测试
Freeze a representative universe冻结代表性标的集
Include large, small, newly listed, delisted, renamed, multi-class and corporate-action-heavy securities.
包括大盘、小盘、新上市、已退市、更名、多股类及公司行动频繁的证券。
Define equivalent requests定义等价请求
Specify fields, windows, frequency, adjustment, pagination and timestamp semantics before calling either API.
调用前先规定字段、窗口、频率、复权、分页与时间戳语义。
Preserve raw evidence保存原始证据
Store request, response, headers, provider status, retrieval time, account tier and code version.
保存请求、响应、响应头、供应商状态、获取时间、账户层级与代码版本。
Reconcile against primary records与一手记录对账
Use exchange records, filings or other authorized primary sources for sampled validation where appropriate.
适当情况下使用交易所记录、监管文件或其他获授权一手来源进行抽样验证。
Exercise failure modes测试故障模式
Trigger 429s, missing symbols, empty history, stream disconnects, schema drift, stale events and partial batch failures.
触发429、标的缺失、历史为空、流断开、结构漂移、过期事件与批任务部分失败。
Calculate total operating cost计算总运行成本
Include plans, exchange rights, partner datasets, storage, bandwidth, normalization, monitoring, support and migration.
计入套餐、交易所权利、合作数据、存储、带宽、规范化、监控、支持与迁移。
QVeris can govern FMP and Massive tools without erasing their differencesQVeris可治理FMP与Massive工具，但不会抹平数据差异
Discover and call only authorized tools只发现并调用已授权工具
A QVeris workflow can expose provider-specific tools to an AI agent, enforce required parameters, bound date ranges, separate users and credentials, and attach source metadata to results. Current Massive docs also present an MCP surface for AI clients, while FMP documents API and MCP access.
QVeris工作流可以向AI Agent暴露供应商专属工具，强制必要参数、限制日期范围、隔离用户与凭据，并为结果附加来源元数据。当前Massive文档也提供面向AI客户端的MCP入口，FMP则记录API与MCP访问。
Retain provider-aware safeguards保留供应商感知的防护
Keep separate schemas, quota buckets, stream state, caches, validation and fallback rules. QVeris does not grant data rights, make two fields semantically identical, or guarantee accuracy, freshness, latency or uptime.
应保留独立结构、额度桶、流状态、缓存、验证与回退规则。QVeris不会授予数据权利，不会让两个字段天然语义相同，也不保证准确性、新鲜度、延迟或可用性。
Related QVeris guides: FMP vs Alpha Vantage, FMP vs Finnhub, and historical market data for backtesting.
相关QVeris指南：FMP与Alpha Vantage对比、FMP与Finnhub对比，以及用于回测的历史市场数据。
FMP vs Polygon.io questionsFMP与Polygon.io常见问题
Is Polygon.io now called Massive?Polygon.io现在叫Massive吗？
Yes. Polygon.io officially announced the Massive name on October 30, 2025. The announcement said existing keys, accounts and legacy API endpoints would continue during migration.
是。Polygon.io于2025年10月30日正式宣布使用Massive品牌。公告称迁移期间现有密钥、账户与旧API端点继续可用。
Is FMP better than Polygon.io for fundamentals?FMP做基本面是否优于Polygon.io？
FMP is a natural first test because statements and ratios are central to its catalog. Massive also offers financials and ratios, so compare exact fields, fiscal history, revisions, plan access and license.
FMP把报表和比率放在目录核心，因此是自然的首测对象。Massive也提供财务数据与比率，应比较具体字段、财年历史、修订、套餐权限和许可。
Which API is better for real-time market data?哪套API更适合实时市场数据？
Massive foregrounds trades, quotes, aggregates and WebSockets. Suitability still depends on the asset class, exchange entitlement, freshness, message schema, concurrency, display rights and budget.
Massive突出成交、报价、聚合与WebSocket。是否适合仍取决于资产类别、交易所权限、新鲜度、消息结构、并发、展示权和预算。
Which API is better for backtesting?哪套API更适合回测？
Massive Flat Files are designed for bulk trade, quote and bar history. FMP can be a strong candidate for fundamentals-driven tests. Either way, handle adjustments, delistings, revisions and survivorship explicitly.
Massive Flat Files面向批量成交、报价和K线历史；FMP可用于基本面驱动的测试。无论选择哪家，都要显式处理复权、退市、修订和幸存者偏差。
Does Polygon.io have a free plan?Polygon.io有免费套餐吗？
The Massive stocks pricing page listed a free Basic tier when checked on July 24, 2026, with limited history, request rate and delayed/end-of-day access. Recheck the live page and account before implementation.
在2026年7月24日核验时，Massive股票价格页列有免费Basic层级，历史、请求速率和行情时效受限。实施前应重新检查实时页面与账户。
Can QVeris use both FMP and Massive?QVeris能同时使用FMP与Massive吗？
A governed workflow can route between authorized tools from both providers. Keep source, schema, entitlement, quota, stream state, validation and fallback visible rather than pretending the providers are interchangeable.
受治理工作流可以在两家已授权工具间路由。必须保留来源、结构、权限、额度、流状态、验证和回退，不能假设两家可无差别互换。