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What is Riveter?
AI agents for web research and data extraction. Riveter finds and structures data from the web using AI agents that search, navigate complex sites, extract from PDFs and images, and return finished structured datasets through a single API.
Key features
Dataset Building
Compile custom lists from scratch by describing what you need in plain language. No input data required.
Enrichment & Extraction
AI agents search the web, navigate sites, and turn answers into structured data. Handles multi-step workflows.
Multi-Source Support
Extracts from websites, PDFs, images, and third-party APIs in a single workflow, returning consistent structured format.
Change Monitoring
Schedule projects to run on daily/weekly/monthly intervals and detect changes automatically.
Self-Healing Extractions
Automatically adapts when website layouts change, avoiding breaks that traditional scrapers face.
Real-Time Data
Fetches from live websites at request time rather than serving stale cached data. Can refresh as frequently as every minute.
API-First & Scalable
Single API handles everything from enriching one record to millions. Works interactively and programmatically.
ChatGPT Plugin
Available as official ChatGPT plugin and MCP for Claude/Codex.
Riveter pricing
Credit-based pricing with transparent per-action costs. Unused credits do not expire on pay-as-you-go plans.
| Plan | Price | What's included |
|---|---|---|
| Free | $0/month | 250 credits/month. Agent searches, build 50 row lists, 50 enrichments per row, change monitoring, 250 row API requests, contact data & profiles, implementation support, custom integrations. |
| Advanced (Self-Serve) | $249/month | 10,000 credits/month. Agent searches, build 2,500 row lists, 100 enrichments per row, change monitoring, 10,000 row API requests, contact data & profiles, basic implementation support, custom integrations. |
| Enterprise | Custom pricing | Custom credits/month with dedicated infrastructure and volume pricing. Build 10,000 row lists, 500+ enrichments per row, 100,000 row API requests, white-glove onboarding, enterprise implementation support, custom built tools & integrations. |
Pros & cons
Pros
- + Adapts to any data source without requiring pre-built extraction logic
- + Easy setup and configuration via plain language prompts
- + Works reliably across teams (marketing and engineering both use it)
- + Handles complex sources traditional scrapers struggle with (JavaScript-heavy sites, PDFs, images)
- + Self-healing extractions eliminate maintenance overhead when sites change
- + Real-time data fetching makes it suitable for time-sensitive signals
- + Transparent credit-based pricing with clear per-action costs
- + Backed by Y Combinator with strong customer testimonials
Cons
- − Credit-based pricing can add up quickly for high-volume operations
- − Requires ChatGPT/Claude access for ChatGPT plugin and MCP integration
- − Free tier is limited (250 credits/month) for serious workloads
Who is Riveter best for?
- • Sales & GTM teams building custom lead lists and ICP enrichment
- • Marketing teams finding lookalike companies and tracking competitor signals
- • Data engineering teams automating web data extraction at scale
- • Operations teams monitoring compliance, licenses, and regulatory filings
- • RevOps teams feeding enriched account data into CRM and automation workflows
- • Finance & risk teams conducting KYB and compliance research
- • E-commerce teams tracking competitor pricing and catalog changes
- • Any team replacing manual web research with scalable automation
Frequently asked questions
Can Riveter build a lead list from scratch?
Yes. Describe your ideal customer and Riveter builds a list with no starting data required, then enriches each account with fields and signals you define.
What buying signals can Riveter find?
Riveter finds custom signals that standard databases miss: tech stack, SOC2 status, AI usage level, hiring activity, conference attendance, blog complexity, customers, G2 & Capterra presence, and more.
Can Riveter enrich leads in real time as they sign up?
Yes. Riveter can enrich records live through its API. Send a new lead and Riveter runs the same workflow on demand, returning enriched fields in real time.
How is Riveter different from traditional web scrapers?
Traditional scrapers break whenever a site changes. Riveter uses AI agents that interpret pages like a person would, so the same configuration keeps working after a redesign. It also runs multi-step workflows and extracts from PDFs and images.
How current is the data Riveter returns?
Riveter fetches from live websites at request time rather than serving pre-built cached data. For frequent updates like sports scores or election results, you can get fresh data as often as every minute.
Can Riveter reach data behind navigation, JavaScript, or inside PDFs?
Yes. Riveter's agents navigate complex JavaScript-heavy pages and read PDFs and images the way a person would, reaching data that simple scrapers miss.
How does Riveter handle sites that change or break an extraction?
Riveter's extractions are self-healing. When a source changes, Riveter regenerates the extraction automatically, so your pipeline keeps running without losing data.
Can Riveter deliver data through an API at scale?
Yes. One API request can return a single record or millions. You bring your own input data or build a dataset from a prompt, and results come back in consistent, structured format.
