Venture Flow Data API is a continuously updated venture intelligence platform that transforms fragmented public market signals into clean, structured, and actionable data.
Powered by autonomous AI discovery agents, VentureFlow continuously monitors venture capital announcements, startup press releases, regulatory filings, and verified funding databases to deliver a unified real-time data stream of startup ecosystem activity.
VentureFlow turns noisy, unstructured data into high-quality structured intelligence:
Access newly announced funding rounds with structured fields including:
All incoming data is standardized into consistent schemas with:
Query venture data with precision:
min_funding / max_fundingstage (Seed, Series_A, Series_B, etc.)industry (AI, FinTech, SaaS, HealthTech, etc.)countrysort (newest, highest_amount, etc.)Each record includes enriched venture metadata:
VentureFlow is built for:
All records are:
VentureFlow is designed as a data intelligence layer, not just a dataset.
Instead of static scraping, it provides:
continuously evolving, structured venture intelligence at scale.
Data is aggregated from publicly available sources and processed through automated AI systems. While VentureFlow applies validation scoring and deduplication, all data is provided “as-is” without guarantees of absolute real-time accuracy.
{"Example Response":"No response example available for now."}
curl --location --request GET 'https://zylalabs.com/api/12894/venture+flow+data+api/25663/fetch+funding+rounds?limit=100&stage=Series_A&industry=AI&min_funding=1000000' --header 'Authorization: Bearer YOUR_API_KEY'
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[必需] 应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。 |
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
端点 Fetch Funding Rounds 返回关于创业公司融资事件的结构化数据,包括融资金额 阶段 投资者 宣布日期 行业和地理位置的详细信息
响应数据中的关键字段包括资金金额 阶段分类 投资者详情 公告日期 行业领域 地理位置以及用于数据验证的人工智能置信评分
响应数据以结构化的JSON格式组织,每轮融资表示为一个包含主要字段的对象 这使得在应用程序中进行易于分析和集成
用户可以使用参数如最低资金、最高资金、融资阶段(例如种子轮、A轮)、行业类型(例如人工智能、金融科技)和地理位置来定制他们的请求
数据来源于公开可用的风险信号,包括风险投资公告、创业公司新闻稿、监管文件和经过验证的融资数据库,确保对创业生态系统的全面了解
数据的准确性通过一个信任评分系统来维护,该系统评估每个记录的可靠性,同时还有持续更新的自主发现的人工智能代理监控多个来源
典型的用例包括跟踪风险投资公司的业务流量 提升人工智能销售智能平台 B2B潜在客户生成以及支持市场研究和分析面板
用户可以利用返回的数据进行战略决策、趋势分析和识别投资机会,通过根据与其需求相关的特定参数进行筛选和排序
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