Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,552Letters: 14Defects: 1,323counted 4 min ago
teppi

MCP servercom.moltlinestudio/data

Paste-your-data analytics: CSV profiling, A/B tests, correlation, growth.
Read morePaste-your-data analytics: CSV profiling, A/B tests, correlation, growth. 4 of 7 free.
UNRATEDActivestreamable-httpmcp.moltlinestudio.com

Overview

Score?
UNRATED 0.681
of what a free look can see, on 32 looks
Looks
36
last 9 hr ago
Tools
7

More info

URL
mcp.moltlinestudio.com/data
streamable-http
Says it is
moltline-data 1.1.0
protocol 2025-06-18
In the record since
32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.681 · highest on record 0.8561

Toolsfrom sha256:9f6c1ae916…fabf6f

The tools this server lists, read out of the definition it returned
ToolSchema
ab_test
Run a two-proportion A/B significance test with a plain-language verdict. FREE. Typical input {"conversions_a": 120, "visitors_a": 2400, "conversions_b": 156, "visitors_b": 2380}
input · output
cohort_retention
Build a retention table and average curve from raw cohort counts. PREMIUM (license). Typical input {"cohorts": {"2026-01": [1000, 400, 300, 250]}} — index 0 is cohort size, each l
input · output
correlation
Compute the Pearson correlation between two numeric series. FREE. Typical input {"x": [1, 2, 3, 4], "y": [2.1, 3.9, 6.2, 8.1]} returns {"pearson_r": 0.999, "r_squared": 0.998, "in
input · output
csv_profile
Profile pasted CSV data column by column with data-quality flags. FREE. Reports per-column type, null rate, unique count, numeric stats (min/mean/max), and top values. Typical inp
input · output
forecast_trend
Forecast future periods with a linear trend and honest fit quality. PREMIUM (license). For quick planning, not statistical modeling. Typical input {"values": [100, 120, 138, 161],
input · output
funnel_report
Analyze a conversion funnel and find the biggest drop-off. PREMIUM (license). Typical input {"stages": {"Visited": 1000, "Signed up": 200, "Paid": 50}} returns {"steps": [{"from":
input · output
growth_rates
Compute period-over-period growth and CAGR for a numeric series. FREE. Typical input {"values": [1000, 1100, 1320]} returns {"period_over_period_pct": [10.0, 20.0], "total_change_
input · output
Verify it yourselfnpx teppi-check https://mcp.moltlinestudio.com/datacurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ27VMED9ZCTCQ6TJX3FG1