Large technographic dataset
Track 54K+ technologies across 86M+ companies, with technology name, timestamps, category, description, pricing data, and source details included for each technology record.
PredictLeads
认领PredictLeads Technographics is a company intelligence dataset for identifying the technologies companies use. It supports delivery through API, flat files, webhooks, and MCP for sales, research, and AI workflows.
Technographic data for company intelligence
PredictLeads Technographics is a company intelligence dataset focused on the technologies organizations use. It is delivered through APIs, flat files, webhooks, and MCP, and is designed to help teams discover, monitor, and act on technology stack signals across large numbers of companies.
The product combines detections from company websites, script tags, DNS records, IP ranges, cookies, and job descriptions. PredictLeads says it tracks 54K+ technologies across 86M+ companies and includes source and methodology details for each detection, along with first-seen and last-seen timestamps, category data, and technology relationships.
Technographic data capabilities
Multi-source detection
Detect technologies from multiple signals such as script tags, DNS records, IP ranges, cookies, and job descriptions to improve coverage and reduce missed detections.
Point-in-time detection history
Review first-seen and last-seen timestamps for each detection to understand when a technology appeared, how long it persisted, and whether it is still present.
Category-aware records
Use category and parent-category information to organize tools and filter technologies by segment or product family.
Technology relationships
Access technology relationships that show which technologies imply, require, or exclude others, helping teams understand stack dependencies and compatibility.
MCP access for agents
Connect the dataset to AI agents through MCP for structured, real-time retrieval of technology insights and downstream actions.
Ways teams use technographics
Find accounts by technology
Build lists of companies using a specific stack, such as HubSpot, Salesforce, or Marketo, by querying the technology discovery endpoint.
Monitor technology trends over time
Track first-seen and last-seen dates to watch adoption curves, identify emerging tools, and spot technologies that are growing or fading.
Analyze competitive landscapes
Compare adoption across competing tools within the same category to understand market share dynamics and replacement patterns.
Study stack relationships
Use stack data alongside category and relationship fields to identify likely dependencies, complementary tools, and compatibility constraints.
Support agentic workflows
Feed structured technology insights into AI systems through MCP so agents can retrieve current signals during prospecting, research, or enrichment workflows.
Pros and Cons
Pros
- Multiple delivery options are listed: API, flat files, webhooks, and MCP.
- The dataset uses several evidence sources, including websites, DNS records, IP ranges, cookies, and job descriptions.
- Each technology record includes source and methodology information for transparency.
- Point-in-time fields such as first seen and last seen support historical analysis.
- Technology relationships and category metadata make filtering and stack analysis more practical.
Cons
- The coverage audit is partial for integrations beyond the delivery methods named on the page, so platform-specific connections are not clearly documented here.
- Pricing is usage-based and the public page does not give a single flat monthly price for the technographics dataset.
FAQ
What does the technographics product provide?
PredictLeads technographic data identifies the technologies companies use and is delivered through APIs, flat files, webhooks, and an MCP server. The technologies page also notes that you can access a technology discovery endpoint to find companies using a specific tool.
Where does the technology data come from?
The source pages show data pulled from websites, script tags, DNS records, IP ranges, cookies, and job descriptions. The technologies page also says each technology includes sources and methodology for transparency.
Is there a free tier or trial?
The pricing page says the first 100 API calls each month are free, with usage beyond that billed on a pay-as-you-go basis. It also states that flat files and webhook access are available.
Who is this product for?
The product is positioned for company intelligence, market research, competitive analysis, sales, and AI workflows that need structured company data. It is also described as being available via MCP for agentic systems.
What kind of output does the dataset include?
The technologies page describes point-in-time detection data, including first and last seen timestamps, technology category information, pricing data, and technology relationships such as implied, required, or excluded tools.
Quick Facts
- Category
- Company intelligence / Technographic data
- Platform
- API, flat files, webhooks, MCP
- Delivery model
- Free first 100 API calls/month, then pay-as-you-go
- Source domain
- predictleads.com
- Primary users
- Sales, marketing, research, and AI teams
- Scope
- 54K+ technologies across 86M+ companies
PredictLeads 数据分析
PredictLeads· 月访问量 1.1万· 全球排名 #1,889,680
流量数据仅供参考。
- 月访问量
- 1.1万
- 全球排名
- #1,889,680
- 分类排名
- #12,703
- 用户跳出率
- 39.2%
- 平均访问时长
- 00:59
- 每次访问页数
- 2.39
流量趋势
| 4月 | 13024 |
|---|---|
| 5月 | 12274 |
| 6月 | 11402 |
流量来源
暂无流量分析数据。
主要访问地区
暂无流量分析数据。