SiftServe vs Argentic

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

SiftServe compared with Argentic
Detail	SiftServe	Argentic
What it does	Web infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge	An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
Stage	Not given	MVP
Founded	Not given	Not given
Based in	AE	Not given
Pricing model	Freemium	Freemium
Pricing	Free eight-week pilot including onboarding and model costs. Three paid plans after pilot: Pay as you go (self-serve, usage-based), Subscription (self-serve, monthly or annual flat fee), and Managed (done by company, pricing quoted per site). All plans quoted per individual site based on page count,	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	AI agent rebuilds pages into semantic HTML, FAQs, and structured data Vision pass captures facts locked inside images Sifted pages use roughly 90% fewer tokens than originals Served from edge, humans and search crawlers see original site unchanged Before-and-after audit score for every page Measures citations and AI referrals from sifted pages	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	Only AI agents see sifted pages; humans and Google crawlers see original site unchanged Every claim traces 1:1 to original pages; AI never fabricates or adds content 90% fewer tokens per page while carrying 37% more readable content Human in the loop approval for every page before serving to agents Measures results with before-and-after comparison on your traffic	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 plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	22 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	9	0
Citation Flow (Majestic)	27	9
Referring domains (Majestic)	61	4

5 details filled in for both companies.

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