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LlamaIndex vs Argentic

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

LlamaIndex compared with Argentic
Detail LlamaIndexArgentic logo Argentic
What it doesAI Agents for Document OCR + Workflows An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
StageNot given MVP
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingFree plan with 10,000 monthly credits; Starter at $50/month with 40,000 credits; Pro at $500/month with 400,000 credits; Enterprise with custom pricing. Additional pay-as-you-go credits available. Pricing based on a credit system where 1,000 credits equals $1.25. Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
Key features
  • Agentic OCR parsing with semantic understanding for complex document layouts
  • Support for 130+ file formats including PDFs, Office docs, images, and spreadsheets
  • Structured data extraction with schema-based, LLM-powered agents
  • Document classification and splitting based on natural language rules
  • Enterprise-grade RAG indexing and retrieval pipeline
  • Handwritten text parsing and structured extraction
  • Table and chart extraction with structured row and column relationships
  • Cloud SaaS or VPC deployment with flexible data residency options
  • Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
  • Spending limits checked before each model call at token prices you declare
  • Resume after crash without repeating finished actions
  • Tool calls returned as actions for your code to carry out
  • Proof of what ran: check prompts, re-run engine, download hash-chained journal
  • Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
  • MCP server for Claude Code, Claude Projects and Codex
  • Works with any model via bring-your-own-key
  • TypeScript and Python clients for HTTP API access
What makes it different
  • 4x cheaper than frontier labs, 5x more accurate than other APIs
  • Auto-correction loops with recursive checks that detect and fix errors automatically
  • Task-specific specialist agents that route content to the right expert
  • HIPAA, GDPR, and SOC2 compliant with enterprise-grade security
  • Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
  • Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
  • Resumes from crash without repeating finished actions using stable idempotency keys
  • Budget enforcement before each model call, not reactive overage billing
  • No model key storage or logging; your provider bills you directly
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)82 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)330
Citation Flow (Majestic)569
Referring domains (Majestic)103814

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