IDG Capital
WhitelistThe only firm in this audit with a publicly discoverable, bearer-protected MCP endpoint and standards metadata.
Connect your own AI harness to inspect approved LongArena evidence. Public visitors see a bounded overview; exact work-email accounts receive MCP access only after manual review.
One unified public-evidence index. It does not rank investment returns, founder friendliness, fund quality, or prestige.
Version 2026.09 · audited 2026-09-19
Evidence collection, endpoint probes, and scoring for this index are performed entirely by autonomous AI agents. No per-firm human scoring is involved. Read the full evaluation methodology →
The only firm in this audit with a publicly discoverable, bearer-protected MCP endpoint and standards metadata.
Direct, technically detailed MCP and MCP-security research, plus broad agent infrastructure coverage.
Strong public work on agent harnesses, coding-agent observability, MCP servers, and AI-first engineering operations.
Deep coverage of long-running agents, context engineering, and portfolio MCP deployment patterns.
Publishes current agent evaluations and hands-on material on harness quality, agent collaboration, and enterprise AI adoption.
Exceptionally technical research on long-running agent harnesses and the agent-first developer toolchain.
Direct MCP security architecture coverage and substantial agentic enterprise research.
The strongest machine-readable publishing posture in the China cohort, paired with hands-on AI founder programs.
Machine-readable website guidance plus current enterprise AI adoption and MCP-aware architecture research.
Strong public technical discussion of Claude Code, multi-agent workflows, and AI-driven company building.
AI-specialist fund with practical AI-native stack and enterprise-agent operating guidance.
Strong agent-security and enterprise-agent research, with a machine-readable Markdown website surface.
High-conviction AI thesis with practical writing on agent workforces and AI-first company structures.
Purpose-built AI-native investment platform with a focused technical founder network.
Current technical content on agent computers, AI infrastructure, and production constraints.
Publishes applied AI adoption playbooks and enterprise product guidance, with less public MCP-specific implementation evidence.
Frequent first-party agent content and hands-on AI founder/portfolio discussions.
AI and frontier-technology specialist with a technically oriented team and portfolio.
Broad agentic AI and enterprise AI coverage; public implementation evidence is less MCP-specific.
Large AI portfolio and recurring agent-market research, with limited public harness-operation evidence.
Long-running AI specialization and founder programs, with less public evidence of modern MCP/harness operations.
Strong AI portfolio and agent-market commentary, but limited public evidence of firm-level agent workflows.
Broad research on the agent economy and AI applications, with limited public MCP implementation proof.
Active AI-era founder education and early-stage exposure, with limited public technical-operating evidence.
Long AI investment history and technical portfolio depth, with little public MCP/harness operating evidence.
Strong exposure to AI founders and infrastructure, with sparse first-party evidence of internal agent operations.
Material AI portfolio activity, but limited reproducible public evidence of MCP or harness fluency.
Broad technology portfolio and AI exposure, with limited first-party modern agent-interface evidence.
Meaningful AI investment exposure, but little public evidence of hands-on MCP/harness adoption.
Early-stage technology focus, with insufficient current first-party evidence of MCP or agent-harness operations.
Enough to decide whether a technical diligence session is worth your time—without exposing private customer identities, credentials, or gated financial material.
SalesNail, SalesTouch, and the open-source Termite Protocol—presented only at an approved, non-confidential level.
Approved accounts can inspect structured facts, technical evidence, assumptions, and explicit verification gaps through MCP.
No public sandbox and no domain-wide login. Access is tied to one exact work email and can be revoked at any time.
These five institutions lead the current public-evidence index and their primary domains are pre-eligible for review.
No endorsement: Name marks and domains identify whitelist eligibility only. They do not imply endorsement, investment, partnership, customer status, recommendation, or any affiliation with LongArena.
A matching corporate domain only allows an application to enter review. LongArena approves and can revoke each exact work-email account independently.
The institution must be in the current first cohort or request a new public-evidence review.
LongArena reviews one named work email and sends a high-entropy access code only to that mailbox.
OAuth access continues only when the account demonstrates meaningful MCP usage and responsible behavior.
The button opens your mail client. Send from your work mailbox so the reply and access code remain bound to the same identity.
Add the URL to a compatible MCP client. OAuth will ask for the exact approved email and the access code delivered to that inbox.
Supported harnesses—the same whitelist as SalesNail MCP: WorkBuddy, NamiWork, Codex, Claude, opencode, Kimi Code, EasyClaw, EasyClawCN.
https://www.long-arena.com/investormcpPrivate interaction score. Continued access requires real MCP/harness behavior—not brand recognition. The private score measures standard handshake, recognized client use, tool breadth, deep diligence, resources/prompts, repeat use, and responsible behavior.
We store event categories, client name, tool/resource/prompt names, timestamps and outcomes. We do not store raw prompts or tool arguments for scoring. Meeting requests retain only the fields you explicitly submit.
Scores use only first-party public evidence available on the audit date. Absence of public evidence is not proof of low internal adoption. A public endpoint probe checks common MCP and OAuth discovery paths; it cannot detect private systems.
Verified public MCP/OAuth endpoints receive the highest credit; writing about MCP is scored separately.
Technical depth on agent harnesses, coding agents, evals, context engineering, and production architecture.
Public evidence that the firm or its programs use AI-native workflows, not merely invest in AI companies.
Current AI thesis, specialist talent, technical programs, and relevant portfolio evidence.
Recency, first-party attribution, reproducibility, and machine-readable publishing.
Endpoint probe scope: /mcp, /mcp/health, /.well-known/oauth-protected-resource, /.well-known/oauth-authorization-server, WordPress REST namespaces, /llms.txt, /index.md. “Not found” means no public endpoint was discovered in this bounded test as of 2026-09-19; it is not proof that no private MCP exists.
Evidence collection, endpoint probes, and scoring for this index are performed entirely by autonomous AI agents. No per-firm human scoring is involved. Read the full evaluation methodology →