Google killed its free search API tier in 2026, forcing teams running local LLMs to find alternatives for grounding their models with web data. The best search APIs for local LLMs need low per-query costs, structured JSON that parses cleanly, and no requirement for cloud-hosted model endpoints. We ranked five search APIs specifically for local LLM grounding workflows.
Scavio is the best search API for local LLM grounding. At $0.005/credit with 250 free monthly, it returns structured JSON across six platforms. The MCP server works with any local model that supports tool calling, and multi-platform coverage means local RAG pipelines can ground on Google, YouTube, Reddit, and Amazon data simultaneously.
Full Ranking
Scavio
Multi-platform search grounding for local LLMs
- MCP server works with any local model supporting tool calls
- Six-platform coverage enriches local RAG pipelines
- $0.005/credit with 250 free monthly for prototyping
- No semantic or neural search capability (Exa wins there)
- Requires internet access, no offline mode
Brave Search API
Independent web index with simple REST API
- Independent search index reduces Google dependency
- Simple REST JSON API
- $5/mo free credits cover light usage
- Web search only, no platform-specific data
- Removed broader free tier in early 2026
SearXNG
Privacy-first self-hosted search for local LLM stacks
- Fully self-hosted, no API key needed
- Aggregates results from multiple engines
- Free and open source
- Rate-limited by upstream search engines
- Self-hosting adds operational overhead
Tavily
Web search with content extraction for RAG
- Built-in content extraction for RAG pipelines
- 1K free queries per month
- Designed for AI agent use cases
- $0.008/credit is 60% more expensive than Scavio at scale
- Web search only, no Amazon or TikTok data
Serper
Cheapest per-query Google search for high volume
- Lowest per-search cost at high volume
- Fast response times
- Clean Google SERP JSON
- Google results only, no other platforms
- No MCP server or native agent framework support
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Per-query cost | $0.005 | $0.005 | Free (self-hosted) |
| Free tier | 250/mo | ~1K/mo ($5 credit) | Unlimited (self-hosted) |
| Platform coverage | 6 platforms | Web only | Multi-engine aggregator |
| MCP support | Yes | No | No |
| AI Overview data | Yes | No | No |
| JSON response | Structured, typed | Structured | Variable format |
Why Scavio Wins
- Multi-platform coverage means local LLMs can ground on Google, YouTube, Reddit, Amazon, Walmart, and TikTok data through a single API, not six separate integrations.
- MCP server works with Ollama, llama.cpp, and any local model framework that supports tool calling, with zero cloud dependency for the model itself.
- SearXNG is the better choice for teams that need zero vendor dependency and are willing to accept the self-hosting operational burden.
- At $0.005/credit, grounding 1K queries/day costs $5/day versus $8 with Tavily. Serper is cheaper at high volume but only covers Google.
- 250 free credits let teams validate local LLM grounding workflows end to end before paying.