Accelerator Post-Program Survival Analyzer

Accelerator Post-Program Survival Analyzer MCP Connector for Claude

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Analyzes startup longevity and failure patterns using survival analysis models.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized analytical tools to evaluate the post-graduation viability of startup cohorts. It calculates survival rates over time, identifies failure modes like 'early death' versus 'mature failure', and adjusts raw survival data based on market conditions and funding environments. Use get_survival_metrics for high-level health scores, get_failure_analysis to understand shutdown timing, and get_environmental_adjustment to account for external economic factors.

startupsurvival-analysisacceleratormetricseconomics

3 tools expose this connector's capabilities to your AI agent.

get_environmental_adjustment

Ensure all three indices are provided. Adjusts the observed survival data to account for external economic factors

get_failure_analysis

Provide a list of failure months if analyzing timing. Identifies the specific ways and when companies in the cohort are failing

get_survival_metrics

Do not query metrics for empty cohorts. Provides a high-level overview of the cohort's survival health over time

See how to talk to your AI agent using Accelerator Post-Program Survival Analyzer.

Calculate the survival health for a cohort of 50 companies where 40 are active after 12 months and 30 are active after 24 months, with a 10% pivot rate.

The cohort has a 12-month survival rate of 80% and a 24-month survival rate of 60%. The median survival time is calculated based on these metrics, and the health score reflects the impact of the 10% pivot rate.

Analyze the failure patterns for 50 graduated companies where 5 failed in month 6 and 10 failed in month 18, with a 5% pivot rate.

The analysis shows an early death rate of 10% (5 companies) and a mature failure rate of 20% (10 companies). The pivot impact score is calculated based on the 5% pivot rate.

Adjust a survival rate of 70% given a market condition index of 0.8 and a funding environment index of 0.9.

The adjusted survival rate is higher than 70% because the low market and funding indices indicate that the companies performed better than the difficult economic environment would suggest.

Early death refers to companies that fail within the first 12 months, often due to product-market fit issues. Mature failure occurs after 12 months, typically due to scaling or capital challenges.

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