Is Cura a replacement for Standard Metrics?

For most funds, yes. Cura covers the same job — collecting portfolio metrics and turning them into reports — and adds the sources Standard Metrics leaves out: the emails, decks, Slack, and calls founders already send, plus daily public signal. Funds that need Standard Metrics' 10,000-company benchmarking or run large PE back offices may still want both.

Does Standard Metrics have an API and an MCP server?

Yes. Standard Metrics offers an API to import, export, and sync data, and an MCP server that lets Claude and ChatGPT query your portfolio data. Cura exposes a REST API and an MCP server too — and its agents write back to your data: record a metric, create a task, update a company.

Does Standard Metrics read documents?

Yes. Standard Metrics uses AI to extract financial data from board decks and financial statements. The difference is breadth: Cura also reads the informal channels founders actually use — email, Slack, Granola calls, and texts — plus continuous public sources like LinkedIn and news.

Why do founders respond more with Cura?

Standard Metrics asks founders to log into a portal and submit each period. Cura sends requests from your own inbox and reads what founders already send, so there is no new login and no new habit. Funds consistently see higher response rates when the ask lands in a normal email thread.

How does pricing compare?

Standard Metrics does not publish pricing. Cura starts at $200/month on the Emerging Manager plan, for small teams with early funds, and 90% of customers pay $5,000 to $15,000 a year. Cura is consistently one of the most affordable options in the category.

Comparison

Cura vs Standard Metrics

How Cura and Standard Metrics compare on where portfolio data comes from, what founders have to do, and what your AI agents can reach.

Standard Metrics is the incumbent portfolio-reporting platform for institutional VC and PE. Founders submit structured financials through a portal or by connecting their accounting systems, and that data flows into dashboards, tear sheets, and benchmarks. It is a strong system of record for structured KPIs. Cura starts from the other end: it reads the emails, board decks, Slack messages, Granola calls, and texts founders already send, plus continuous public signal, and turns all of it into structured, source-linked metrics and centralized reports.

Both tools turn portfolio data into structured, source-linked metrics. They differ on where that data comes from and how much your founders have to do to produce it. Here is the side-by-side.

Feature comparison: Cura versus Standard Metrics
Feature	Cura	Standard Metrics
Where the data comes from	Founder emails, decks, Slack, Granola, texts + continuous public webLinkedIn, X, news, and hiring pages, pulled daily.	Company portal, accounting integrations, and uploaded statementsFounders submit each period, connect a system of record, or the fund uploads statements for AI parsing.
What founders have to do	Nothing newCura ingests what they already send; requests arrive from your inbox.	Submit via the portal or connect accounting each period
Continuous public monitoring	Yes — daily web, LinkedIn, X, news, hiring signals	No continuous public web monitoringThe AI Analyst answers over data already inside the platform.
Structured, source-linked metrics	Yes — every value traces to its source	Yes — metrics traceable to source documents
Reachable by your AI agents	REST API + MCP — agents read and writeWrite metrics, create tasks, update companies from Claude or ChatGPT.	API + MCP server — query portfolio data
Peer benchmarking	No	Yes — 10,000+ anonymized startups
Open-role tracking across the portfolio	Yes	No
SOC 2	In progressRuns on SOC 2 Type II providers; certification underway.	Certified

Standard Metrics facts verified from standardmetrics.io (checked 2026-10-13).

Where Standard Metrics leads today

Benchmarking against an anonymized set of 10,000+ venture-backed startups — real context Cura does not offer.
AI extraction from board decks and financial statements, with a human QA layer for audit-grade accuracy.
SOC 2 certified today. Cura runs on SOC 2 Type II providers and has certification in progress, not yet complete.
Institutional-grade tear sheets, embedded BI, and fund-level analytics built for large back-office teams.
Deep, standardized financials when portfolio companies connect their accounting or ERP systems.

The real difference: where the data comes from

Standard Metrics is a system of record. It shines once a founder connects their accounting system or fills in the quarterly template. Cura starts one step earlier, with the raw material founders already produce: the board deck in your inbox, the KPI line in a Slack message, the number a founder said out loud on a Granola call, the update they texted you. Cura extracts each figure, links it to its source, and flags what’s missing — then asks the founder for only that, from your own email.

On top of that, Cura watches the public record every day: LinkedIn, X, news, and hiring pages. So the companies that stay silent between reports still have a live file. For a non-lead investor with no information rights, that is often the only signal there is.

Pricing

Cura

From $200/month

The Emerging Manager plan, for small teams with early funds. 90% of customers pay $5,000–$15,000 a year.

Standard Metrics

Quote-based

Pricing is not published; you contact sales for a quote.

Built for AI-native firms — from solo GP to institutional

Cura keeps every metric structured and linked to its source, and exposes the whole record over a REST API and an MCP server. Your own agents — Claude, ChatGPT, or an internal bot — can read it and write back to it: record a metric, spin up a task, update a company. Standard Metrics offers an API and an MCP server too, aimed at querying your data. Cura hands agents the controls to do the work.

That model scales from a solo GP tracking 20 companies to institutional VC and growth equity funds running hundreds. The audit-ready record answers an LP or an auditor’s company-by-company question in seconds instead of a month-long document hunt. Pricing starts at $200/month on the Emerging Manager plan, and 90% of customers pay $5,000 to $15,000 a year. Cura is consistently one of the most affordable options in the category.

Weighing your optionsSee the full list of Standard Metrics alternatives →

Frequently asked questions

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