SOTA2 — AI Solution Rankings

ONLINE SOTA2 — AI Solution Rankings answered an MCP connection on 29 Oct 2026 and introduced itself as sota2 1.0.6 (MCP protocol 2025-06-18).

11 tools offered to AI assistants

• search_companies · Resolves a named AI company to stable IDs, names and descriptions. Revenue-only records can have null catalog slug and profile URL; their returned ID remains usable for company lookup. Matches depend on spelling and available aliases; no ma
• get_company · Returns public data for an exact company ID or slug. Company and product soc2Disclosure states are separately reported_claims or unknown_not_disclosed, with original vendor claim statuses rather than independent certification. Available dim
• list_industries · Lists supported industries with canonical IDs/slugs, names, descriptions and aliases. Includes cross-industry, consumer and agent audiences when available. An optional query filters this directory; without it the directory is browsable with
• list_tasks · Lists AI solution task IDs, slugs, descriptions and company coverage, optionally within an industry. An optional query filters the directory. Ambiguous 'AI verification platform', 'verification' and 'verify' queries include clarification_re
• get_solution_rankings · Returns published AI solution rankings for a specified industry/task. Industry only returns its task directory and cross-industry links; industry + task selects that exact scope; task only selects cross-industry. Missing entities/combinatio
• list_company_leaderboards · List supported AI company leaderboards by annual revenue, country/region and category. Returns IDs, scope, descriptions and source URLs. Country lists rank companies within a geography; they do not rank countries.
• get_company_leaderboard · Returns a published AI company leaderboard by its exact ID, e.g. ai-global, ai-usa or ai-china. Includes ranks and ties, revenue in USD, reporting basis, period, confidence and original sources. Revenue, ARR, run-rate, forecasts and estimat
• list_research_domains · Lists AI research fields with canonical slugs and descriptions, such as NLP, computer vision, agents/tool use and RAG. These are research domains, separate from commercial company industries. An optional query filters the domain directory.
• search_research · Searches research benchmarks, datasets, tasks or papers using keywords, benchmark/dataset names, paper titles, authors or arXiv identifiers. Returns 20 results per API page. Versions, test splits and Full/Hard variants can be separate bench
• get_research_entity · Returns one exact research entity. Dataset identifiers are dataset-FAMILY slugs (e.g. omnidocbench), not version slugs (e.g. omnidocbench-v1-5); family details include benchmarks across versions. Task/domain identifiers are canonical slugs;
• get_research_benchmark · Returns individual reported result rows for one exact benchmark version/split and metric. Top N corresponds to limit N rows, each identified by resultId with exact method, configuration and global position, including ties. Rows are not dedu

What "online" means: the server answered an MCP connection at the time of the check. It is not a guarantee of security, quality or continuous uptime. How we test: we open an MCP session and ask for the tool list, as an AI assistant would. We never run a tool and never send a key. Checked every few days. Method

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