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LlamaIndex vs Perceptlayer
LlamaIndex focuses on indexing your own data, while Perceptlayer offers external live web data via API.
LlamaIndexFramework for LLM apps and agents over your data
PerceptlayerLive web data for AI agents. One key, 248 websites.Which to pick
Pick LlamaIndex if you want…
- Agentic OCR for complex docs
- Data indexing
- Integrations with Microsoft Azure Marketplace (on LlamaIndex's list, not Perceptlayer's)
Pick Perceptlayer if you want…
- Live web data for AI agents
- Integrations with Claude, MCP or HTTP (on Perceptlayer's list, not LlamaIndex's)
Side by side
- What it is
- LlamaIndex:LlamaParse converts complex documents into structured, AI-ready data with agentic OCR and extraction.
- Perceptlayer:Perceptlayer provides a single API key to access structured JSON data from 248 websites via 1,659 endpoints.
- Best for
- LlamaIndex:Agentic OCR for complex docs
- Perceptlayer:Live web data for AI agents
- Who it’s for
- LlamaIndex:Developers building AI agents and RAG pipelines that need accurate document parsing.
- Perceptlayer:Developers building AI agents that need live web data.
- Pricing
- LlamaIndex:Freemium
- Perceptlayer:Freemium
- Plans
- LlamaIndex:Free $0
- Perceptlayer:Free $0 · Starter $15 once · Build $59 once · Growth $199 once · Pro $399 once
- Open source
- LlamaIndex:Yes, 52,381 GitHub stars
- Perceptlayer:Yes, 0 GitHub stars
- Works with
- LlamaIndex:Microsoft Azure Marketplace
- Perceptlayer:Claude, MCP, HTTP
LlamaIndex features
- Agentic OCR. Layout-aware parsing of tables, charts, images and handwriting with high accuracy.
- Schema-based Extraction. Turn unstructured content into structured JSON using LLM-powered agents without training.
- Document Splitting & Classification. Automatically segment and categorize documents using natural-language rules.
- Enterprise Indexing. Chunking and embedding pipeline for precise retrieval in RAG applications.
- LiteParse Local Engine. Open-source, fast, on-device parsing of PDFs, Office files and images with no cloud limits.
- Security & Compliance. SOC 2, GDPR, HIPAA compliance with encryption, VPC deployment and granular access controls.
Perceptlayer features
- One key for 248 sites. Access all APIs with a single credential, no per-site accounts.
- Structured JSON responses. Each endpoint returns JSON with named fields, no HTML parsing required.
- Pay-per-call pricing. One credit per successful call; failed calls are free.
- Credit packs & free tier. Free 1,000 credits/month; prepaid packs from 10k to 50 M credits.
- Request rate options. Base rate 1 req/s (free) up to 300 req/s on larger packs, with optional upgrades.
- MCP server integration. Agents can call the catalogue via MCP, handling parameters and authentication automatically.
LlamaIndex vs Perceptlayer FAQ
Is LlamaIndex or Perceptlayer free?+
LlamaIndex has a free plan and paid plans. Perceptlayer has a free plan and paid plans.
Is LlamaIndex or Perceptlayer open source?+
Yes, both are open source: LlamaIndex (run-llama/llama_index on GitHub, MIT license) and Perceptlayer (pratik-dani/perceptlayer-mcp on GitHub, MIT license).
Do LlamaIndex and Perceptlayer integrate with the same tools?+
Their integration lists don't overlap: LlamaIndex lists Microsoft Azure Marketplace; Perceptlayer lists Claude, MCP and HTTP.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.