Lenz vs Olostep: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Lenz and Olostep — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Lenz
Lenz IO
Audit-grade fact-checking API that runs claims through an eight-model, five-stage adversarial pipeline and returns a cited verdict.
Key features
- Five-Stage Adversarial Pipeline: Eight models across five stages gather evidence, argue the opposing side, and pass through three independent reviewers before a verdict is issued.
- Multi-Vendor Independence: Verdicts come from LLMs across several vendors rather than one provider, so a single model's blind spot cannot decide the outcome.
- Full Citation Trail: Every verdict ships with the real sources it rests on and the reasoning shown, so a human can audit why the answer came out the way it did.
- Depth Ladder of Primitives: /extract, /assess, /verify and /ask let you trade latency against rigor — a fast multi-model check for live UX, the full pipeline for anything that will be published.
- Claim Extraction from Free Text: /extract pulls the individually verifiable claims out of any document or model output so each can be checked separately.
- Grounded Follow-Up Q&A: /ask answers questions about a completed verification using only that verification's evidence, keeping the conversation anchored to sources.
- Drop-In Integrations: OpenAPI 3.1 with Python and TypeScript SDKs plus a CLI, and ready-made hooks for Claude, Cursor, n8n and Zapier.
- Public Workbench and Bookmarklet: Paste a statement, link or question and get a sourced verdict without writing code, including a bookmarklet for checking claims while browsing.
Best for
- Runtime Output Verification: Check what your LLM feature just produced against real sources before it reaches a user, asynchronously or inline.
- Pre-Release CI Gates: Run generated content, docs or marketing copy through /verify in CI so unsupported claims fail the build.
- Incident Triage: Verify claims circulating during a live incident and get a verdict with sources instead of a confident guess.
- Editorial and Newsroom Checking: Extract the checkable claims from a draft and get each one scored with citations before publication.
- Compliance and Risk Review: Produce an auditable trail showing what was verified, against which sources, for regulated or high-liability content.
- Agent Tool Use: Give a Claude, Cursor or n8n agent a verification tool so it can confirm facts mid-workflow rather than asserting them.
Olostep
Olostep Technologies
A single web data API for AI agents that scrapes, crawls, maps, searches, answers, and monitors sites, returning clean Markdown, HTML, or JSON.
Key features
- Unified Web Data API: Seven endpoints — scrapes, crawls, maps, batches, searches, answers, and monitors — behind one object-oriented client instead of separate services.
- Clean Format Output: Returns any URL as Markdown, HTML, screenshots, or structured JSON so content is immediately usable as LLM context.
- Site Crawling with URL Globs: Retrieve every page on a site with max-page limits and include/exclude glob patterns, then iterate pages and fetch content per page.
- Batch Processing: Process up to 100,000 URLs in roughly five to seven minutes for large enrichment and indexing jobs.
- Natural-Language Search and Answers: Query the web in plain language for ranked links, or use the answers endpoint to get an AI-composed response with sources.
- Web Monitors: Set up monitors that fire when something changes across the web, such as a company publishing a new blog post.
- JS Rendering with Residential IPs: All requests, including those on the free trial, are JavaScript-rendered and routed through residential IP addresses.
- Agent-Native Access: Native Python and Node.js SDKs plus an MCP server and CLI so coding agents and AI tools can call Olostep directly.
Best for
- RAG Pipeline Ingestion: Crawl documentation sites and convert every page to clean Markdown for embedding into a retrieval index.
- Agent Web Browsing: Give an autonomous agent reliable read access to any URL through an MCP server rather than a brittle custom scraper.
- Lead and Company Enrichment: Batch-process tens of thousands of company URLs to extract structured firmographic data.
- Competitive Monitoring: Watch competitor blogs, changelogs, and pricing pages and get notified when they change.
- Real-Time Research: Run natural-language searches and pull AI-generated answers with source links inside an application.
- Price and Catalog Tracking: Scrape ecommerce listings on a schedule to keep an internal pricing dataset current.
