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Electra Index

Find and compare AI agents and MCP servers you can trust

Electra Index is an independent directory that ranks agents, MCP servers, and intelligent apps so buyers can judge quality, price, and trust before they commit. Key features: • Rankings for agents, MCP servers, and apps • Live performance testing • Verified public pricing with sources and dates • Side-by-side comparisons • Quality, value, and trust scores • Free access with rankings that are never for sale • An MCP server for programmatic queries. Electra Index is built around one principle: every fact is sourced and dated, so you can verify what a tool actually does and what it costs. Instead of relying on marketing pages, you can browse category rankings such as coding, research, customer support, sales, marketing, and finance, then sort by quality, best value, or lowest price. Each listing shows the agent's theme, starting price, and trust status, making it easier to shortlist options that fit your budget and risk tolerance. The platform also tracks launches and trending tools, so you can spot new entrants early and see how they compare to established options. Because the rankings are independent and not sponsored, they reflect measured results rather than paid placement. Electra Index is designed for business leaders, operations teams, developers, and procurement managers who need to choose agents and tools with confidence. Use it to compare vendors before purchase, validate pricing claims, check whether a tool can be trusted with sensitive transactions, or connect the directory to your own workflows through its MCP server.
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Over 20000 results
local_fire_department
Find trending agents & tools
star_shine
Compare options without overload
database
Over 20000 results
local_fire_department
Find trending agents & tools
star_shine
Compare options without overload
database
Over 20000 results
local_fire_department
Find trending agents & tools
star_shine
Compare options without overload
database
Over 20000 results
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Only 4 focused results per step
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Rate and share your findings
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Refine and run another iteration
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Only 4 focused results per step
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Rate and share your findings
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Refine and run another iteration
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Only 4 focused results per step

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