| What it does | The data layer for AI agents
| 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 | US
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| Pricing model | Paid
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| Pricing | Base: $50/mo for 50,000 points per month. Core: $100/mo for 100,000 points per month. Pro: $250/mo for 250,000 points per month. Ultima: $500/mo for 500,000 points per month. Enterprise: $1000/mo for 1,000,000 points per month. Custom option available for higher volumes. Search costs 5 points per ca
| 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 research for structured, cited answers across sources
- AI extraction converts pages to clean JSON without selectors
- 250+ data sources including company registries and business intelligence
- MCP server integration with Claude, OpenAI, and other clients
- REST API for custom agent code
- Web search capability for AI agents
- Points-based pricing model with no per-source fees
- AI research depth tiers from quick lookups to exhaustive investigations
| - 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 | - Unified API and MCP access to 250+ data sources without stitching scrapers
- Structured, cited answers synthesized from comprehensive source catalog
- No HTML parsing or selector maintenance required for extraction
- One request format for all company intelligence and registry sources
- Points reset monthly with no per-source pricing complexity
| - 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) | 4 ▲ +3 (up) since last check | 8 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 1 | 6 |
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| Citation Flow (Majestic) | 27 | 20 |
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| Referring domains (Majestic) | 61 | 22 |
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NeuralVerge
Seclai