Data Analytics Freemium

Riveter

API-first data extraction, enrichment, and monitoring for AI workflows

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PricingFreemium
Starting priceContact sales
Free planYes
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedJuly 30, 2026
Overview

Tool overview

Riveter is listed under Data Analytics AI tools.

Summary

What is Riveter?

Riveter turns websites, PDFs, and APIs into structured data for applications and agents. Teams can build datasets, enrich records, monitor sources for changes, and trigger workflows through a web interface, API, MCP tools, and webhooks.

Best fit

Best for

Teams building structured data pipelines for applications and AI agents

Audience

Who is it for?

Data engineersAI application developersResearch teamsOperations analysts
Recommendation

Decision note

A flexible option for teams that need extraction and monitoring behind an API or MCP interface. Test representative sources, credit consumption, schema consistency, change detection, and legal access before committing to a production pipeline.

Capabilities

Key features

Extracts structured data from websites and PDFs

Enriches records through repeatable data workflows

Monitors sources for meaningful changes

Exposes jobs through API and MCP tools

Sends webhook events for pipeline automation

Workflows

Use cases

Build datasets from public web sources

Enrich company or product records

Monitor pages for operational changes

Feed structured context to AI agents

Automate extraction through APIs and webhooks

Strengths

Pros

  • Supports multiple source formats
  • Offers web, API, and MCP access
  • Combines extraction with ongoing monitoring
  • Provides both free access and a trial path
Considerations

Cons

  • Public dollar pricing is not displayed
  • Extraction quality depends on source structure and schema design
Considerations

Limitations

Riveter can automate structured data collection, but customers must verify source permissions, robots policies, contractual terms, data accuracy, and downstream use. Dynamic websites, protected content, document quality, and schema ambiguity can still require manual review.

Cost

Pricing details

Pricing modelFreemium
Starting priceContact sales
Free planYes
Free trialYes
Pricing context

Pricing note

Official product and API documentation expose Free, Starter, Advanced, Pro, and Enterprise plan states and the site offers a free-trial path, but stable public dollar prices were not confirmed. The row is recorded as Freemium with Contact sales as the paid starting point.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

API

Webhooks

Claude

Cursor

Codex

Windsurf

MCP clients

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyRiveter
Launch year2024
Models / versionsExtraction workflows Enrichment workflows Monitoring workflows
Editions / plansFree, Basic, Professional, Organization, and Custom plans
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Riveter turns websites, PDFs, and APIs into structured data for applications and agents. Teams can build datasets, enrich records, monitor sources for changes, and trigger workflows through a web interface, API, MCP tools, and webhooks.
Teams building structured data pipelines for applications and AI agents
The listed pricing model for Riveter is Freemium. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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