| What it does | Tools that give your AI context
| Production infrastructure for AI applications with observability, governance, and multi-model support
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| Stage | Startup
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| Founded | 2026
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| Based in | Not given
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| Pricing model | Not given
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| Pricing | ContextBolt SEO: 7-day free trial, then $35/month (1,000 monthly credits; top-ups from $9). ContextBolt Bookmarks: Free up to 150 bookmarks, Pro from $6/month. Context Board: 3-day free trial, then $6/month at launch price.
| Personal $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.
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| Key features | - AI visibility tracking for ChatGPT and Google AI answers
- Connected Google Search Console with zero credits
- Web and social media bookmark management from X, Reddit and LinkedIn
- Auto-syncing bookmarks across platforms
- Searchable bookmark library
- Private SEO Dashboard that fills automatically
- Cross-session memory for research
- Works with Claude, Cursor, Codex and other MCP-compatible tools
- Bookmark export as CSV, JSON or XLSX on Pro plan
| - 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
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| What makes it different | - MCP-native design means nothing new to learn, with your AI as the main interface
- Research stays searchable across sessions, not lost after each one
| - 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 46 ● no change since last check | 8 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 9 | 6 |
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| Citation Flow (Majestic) | 35 | 20 |
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| Referring domains (Majestic) | 258 | 22 |
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ContextBolt
Seclai