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Benchmark Seed Valuations Using Connectors.

Your portfolio valuations compared, market comps pulled, benchmark report built , know if $12M pre-money for a Seed is reasonable before you negotiate

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Works with every AI agent you already use

…and any MCP-compatible client

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How It Works

The question every early-stage VC faces: is this valuation fair? There is no Bloomberg terminal for Seed rounds. There is no public market multiple to reference.

There is only pattern recognition , and your pattern is only as good as your data. Your AI agent starts with Carta , what have you actually paid? It reads your Fund I portfolio: 11 Seed investments.

Average pre-money: $9.5M. Median: $8M. Range: $5M (pre-product) to $18M (YC company with $200K MRR). By sector: fintech Seed average $10.5M, B2B SaaS $8.2M, healthtech $7.5M, AI infrastructure $12M.

That is your internal benchmark. Now the agent pulls Crunchbase for market benchmarks: all Seed rounds in AI infrastructure, US-based, last 12 months.

84 rounds found. Median pre-money: $11M. 25th percentile: $7M. 75th percentile: $15M. Average round size: $3.8M. The startup asking $12M is at the 55th percentile , above median but not extreme.

For context, AI infrastructure Seed valuations are 30% higher than general B2B SaaS Seed ($8.4M median). The premium is real , driven by talent scarcity and large exit multiples in the sector.

The agent compiles this into a Google Sheet: your internal comps (Carta), market comps (Crunchbase), percentile analysis, and a recommendation range.

You walk into the negotiation with: 'Based on 84 comparable rounds and our portfolio data, a fair range for this stage and sector is $10-13M pre-money.

$12M is within range. We can proceed at $12M with standard Seed terms.' That is how you negotiate with data.

The founder appreciates the rigor. The deal gets done.

Connector Orchestration: 3 Connectors, one intelligent agent

Connect Carta, Crunchbase and Google Sheets Connectors so your AI agent reads your existing portfolio valuations from Carta (what you paid for similar companies at similar stages), pulls comparable Seed and Pre-seed rounds from Crunchbase across your sectors, and builds a valuation benchmarking report in Google Sheets. The founder says '$12M pre-money.' Your gut says 'That seems high for a pre-revenue company.' But what does the data say? Are other AI infrastructure Seed rounds pricing at $8M or $15M? What did you pay for your last 3 Seed investments? What is the median by sector, geography, and team experience? The agent builds the comp table. You negotiate from data, not from gut. The founder respects the rigor. The deal closes at a fair price.

Run This Automation Today

Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.

Build Your Own Connector

Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Connect & Automate

The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.

  • Carta, Crunchbase & Google Sheets ready in the catalog right now
  • Add more from 5,800+ servers whenever you need
  • Connections are secured and compliant by default
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers and recipes added weekly

Superpowers you didn't know your AI had

The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.

Superpower 01

Cross-Platform Intelligence

Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.

Superpower 02

Contextual Reasoning

Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.

Superpower 03

Productivity at Scale

What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.

Superpower 04

Zero-Config Reliability

No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.

Made for exactly this

Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.

Seed-stage VCs negotiating term sheets who need data-driven valuation benchmarks to determine if a founder's ask is within market range

Emerging fund managers with limited deal history who need market comparables to build pricing intuition for their thesis sectors

Angel investors evaluating SAFE terms who want to understand if the valuation cap is reasonable relative to current Seed pricing in the sector

Fund partners preparing for investment committee discussions who need to justify the entry valuation with comparable transaction data

Frequently Asked Questions About This Connector Orchestration

Which Connectors do I need for this workflow?

Three: Carta, Crunchbase and Google Sheets. Connect all three to your AI client before running any prompt from this page.

Does this work with Claude Desktop, Cursor or Windsurf?

Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the Connectors and paste a prompt.

Is Crunchbase valuation data accurate?

Crunchbase reports disclosed round sizes. Pre-money valuations are sometimes disclosed, sometimes estimated from round size and ownership percentage. For sector-level median analysis, the sample size (84 rounds) is statistically meaningful. Individual round data should be treated as directional.

Can I benchmark Series A valuations too?

Yes. Change the stage filter in your prompt. The agent pulls Carta portfolio data and Crunchbase comps for whatever stage you specify , Pre-seed, Seed, Series A, or Series B.

Is this a substitute for a valuation expert?

For early-stage rounds, comparable transaction analysis is the standard valuation methodology , there is no DCF at Seed. This workflow automates the comp analysis that a valuation expert would do manually. For complex situations (structured terms, ratchets, liquidation preferences), consult legal counsel.

Can I share the benchmark with the founder?

Yes , and you should. Founders who see fair, data-driven analysis trust the process more than investors who say 'Our fund targets $10M pre-money.' Sharing the comp table builds credibility. The negotiation becomes collaborative, not adversarial.

Connectors used in this workflow