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warm-rust vs Leadsets

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

warm-rust compared with Leadsets
Detailwarm-rust logo warm-rustLeadsets logo Leadsets
What it doesHybrid search, graph indexing, and vector-symbolic memory for AI agents Not given
StageStartup Not given
Founded2026 Not given
Based inUS US
Pricing modelOpen source Freemium
PricingOpen source under Apache-2.0 license. WARM Cloud is in development with usage-based pricing for sync, backup and verification; details to be published at launch. Not given
Key features
  • Hybrid search combining BM25 lexical and vector scoring
  • Vertex graph vector index with 2.29-2.75x throughput vs hnswlib
  • Vector-symbolic fact memory with holographic reduced representations
  • AES-256-GCM encryption at rest with Argon2id key derivation
  • Signed audit log with Ed25519 and W3C DID identity
  • Secure purge that overwrites deleted data with zeros
  • Crash-safe append-only log with checksumming
  • Native Rust API with Python HTTP client and Node.js bindings
  • MCP server integration for editors and AI agents
  • WARM Cloud sync, backup and verification without server access to keys or documents
  • Search people by title, function, seniority, location, company size, tech and industry
  • Search and enrich companies by domain, headcount, industry, tech stack and hiring signals
  • Scrape careers pages and company homepages for open roles, products and pricing
  • Match reasons and freshness dates on every record
  • Works with Claude, ChatGPT, Cursor and any MCP client
  • REST API with TypeScript and Python SDKs
  • Field-level checked_at and verified_at dates
  • Source and data-rights metadata on every field
  • Free SKILL.md playbooks for GTM workflows
What makes it different
  • Runs entirely locally in your process with no network calls or telemetry
  • Encryption at rest built into the open-source engine itself, not an enterprise add-on
  • Significantly faster vector search than hnswlib with graph-indexed vertex retrieval
  • Signed provenance and verified audit trail using C2PA, COSE and SCITT standards
  • Embedded library model eliminates dependency on external services or vendor lock-in
  • Flat monthly pricing with no per-record charges or credits
  • Fair-use limits visible in every API response, not hidden behind a dashboard
  • Records count only when data is returned, empty searches use no records
  • First useful result in under five minutes, no lengthy onboarding
  • Opt-out honored and suppression data managed by the company
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)26 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)120
Citation Flow (Majestic)240
Referring domains (Majestic)560

4 details filled in for both companies.

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