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Seclai vs datatomcp

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

Seclai compared with datatomcp
DetailSeclai logo Seclaidatatomcp logo datatomcp
What it doesProduction infrastructure for AI applications with observability, governance, and multi-model support CSV and Google Sheets MCP server and REST API for AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given NL
Pricing modelNot given Not given
PricingPersonal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits. Free: €0, 3 datasets, 100,000 rows per dataset, 1,000 queries per day, 2 people. Pro: €12/month or $12/month, 25 datasets, 2,000,000 rows per dataset, 50,000 queries per day, 5 people per workspace. Business: Custom pricing.
Key features
  • Step-level observability with traces showing status, latency, credits, and governance for every step
  • Natural-language governance policies with flag and block thresholds
  • Model portability: swap 200+ models at any time without code changes
  • Automatic content ingestion and vector database indexing for RAG
  • Persistent memory banks for conversation context
  • Cost tracking per model, agent, and step with credit-based pricing
  • Structured output validation ensuring quality responses
  • HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
  • ML-based prompt scanner blocking injection attacks in real time
  • Evaluation framework with evals that run locally, in CI, and in production
  • Automatic dataset linking by shared IDs and codes
  • Supports MCP protocol for Claude, ChatGPT, and Cursor
  • REST API for apps and automations
  • Automatic version tracking on data changes
  • Team collaboration with role-based access
  • Messy file import with validation reports
  • EU data hosting with no AI provider access
  • Activity logs showing data changes and queries
What makes it different
  • All production LLM features unified in one runtime with no orchestration stack to assemble
  • Local development environment matches production exactly for debugging and verification
  • Swap between 200+ models without changing code or workflow logic
  • Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
  • Transparent credit-based pricing where all operations consume predictable, tracked credits
  • Query results use 475 times fewer tokens than pasting entire sheets
  • Exact totals computed by database instead of estimated by AI
  • Read-only by design prevents agents from modifying data
  • Hosted in EU with automatic backups and 14-day retention
  • One MCP URL works across multiple AI agent platforms
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)11 +2 (up) since last check3 no change since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)2023
Referring domains (Majestic)2212

4 details filled in for both companies.

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