Dating App Success Predictor

Dating App Success Predictor MCP Connector for Claude

A+

Predict dating app engagement and match timelines in Singapore.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic models to estimate dating app success for young adults in Singapore. By analyzing demographic data, professional sectors, and profile quality, it calculates key engagement metrics. Use calculate_success_metrics to get a full breakdown of expected matches and the estimated time until a first date.

datingsingaporestatisticsdemographicsengagement

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

calculate_success_metrics

Provides a comprehensive breakdown of dating success probabilities and timelines

get_base_match_rate

Determines the fundamental match probability for a user's demographic profile

get_profession_multiplier

Retrieves the specific multiplier associated with a given profession

See how to talk to your AI agent using Dating App Success Predictor.

What is the expected success for a 27-year-old male in tech with a profile quality of 8?

Based on your profile, your adjusted response rate is 3.12%, with an expected 1.56 matches per day and an estimated 21 days to your first date.

Calculate metrics for a 32-year-old female in finance with a profile quality of 5.

Your adjusted response rate is 0.72%, resulting in 0.36 expected matches per day and approximately 93 days to your first date.

How many matches per day can a 28-year-old female in the creative sector with a profile score of 7 expect?

You can expect approximately 0.92 matches per day.

Metrics are calculated using a base match rate for Singaporean demographics, adjusted by a profession multiplier and a profile quality score.

Related Connectors