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I built an API that attaches sources to company website data. Is narrower but traceable data more useful?

I kept running into company enrichment results that looked precise but gave me no way to tell whether a field came from the company itself or from somebody else's estimate. So I built FirmSignalIQ around a simpler idea: start with a public company domain and return only what can be observed from the site, with source URLs and timestamps attached. A lookup can return homepage titles and descriptions, detected technology signatures, social links, pricing and careers pages, and changes obser

五维评分

付费意愿
35
需求真实度
30
个人可落地
78
竞争空间
35
新鲜度
65

AI 分析

痛点:公司数据 enrichment 结果看似精确,但无法追溯字段来源,用户难以判断数据是来自公司本身还是第三方估算。

目标用户:CRM、销售自动化、数据集成和 workflow 构建者,尤其是需要可审计公司事实的 B2B 团队。

证据:I kept running into company enrichment results that looked precise but gave me no way to tell whether a field came from the company itself or from somebody else's estimate. ... would you rather receive a smaller set of traceable website facts, or a broader enrichment record with less evidence?

变现:按 API 调用量/credits 收费,提供免费试用额度;高级档支持 90 天历史变更、webhook 监控、来源证明导出;也可做 Zapier/Make/n8n 集成按任务收费。

MVP:做一个极窄 API:输入公司域名,只返回 3-5 个可追溯字段(首页标题/描述、技术栈、社交链接、定价/招聘页、变更记录),每个字段附 source URL 和 timestamp;提供免费额度和一个 Zapier/Make action,先验证 CRM 工作流是否愿意调用。

竞品:Clearbit、Apollo、ZoomInfo、Clay、Diffbot、BuiltWith

摘要:发帖人独立开发了 FirmSignalIQ,用 API 返回公司网站可观察事实,并附来源 URL、时间戳和 90 天历史窗口,刻意不提供员工数、收入、融资等估算字段。他发帖询问 CRM/自动化工作流构建者是否愿意用更窄但可追溯的数据替代更宽但证据弱的数据,但目前没有明确付费用户、收入数据或他人附和。