
Cohort
SQL Retention Calculator: Dynamic Rolling Window Cohort Analysis & SQL Query Matrix
Autonomous Multi-Model Adversarial Fuzzing Certified
Continuous stress-testing against prompt injections, cyclic parameter drift, and upstream rate limits via Llama 3.3 70B & DeepSeek-R1 (Autonomous Fuzzing).
Production Runtime Specification (Cohort)
Direct integration contract for Cohort. Deployable as a native microservice or imported directly into your agent runtime.
"""
Cohort: SQL Retention Calculator & Dynamic Triangle Matrix Engine
"""
from typing import Dict, Any, List
from pydantic import BaseModel
class CohortRow(BaseModel):
cohort_month: str
cohort_size: int
retention_percentages: List[float]
class CohortRetentionEngine:
@staticmethod
def generate_bigquery_sql() -> str:
return """
WITH user_activity AS (
SELECT user_id, DATE_TRUNC(created_at, MONTH) as signup_month,
DATE_TRUNC(activity_date, MONTH) as activity_month
FROM `analytics.events`
)
SELECT
signup_month,
COUNT(DISTINCT user_id) as cohort_size,
DATE_DIFF(activity_month, signup_month, MONTH) as period,
ROUND(COUNT(DISTINCT user_id) / FIRST_VALUE(COUNT(DISTINCT user_id)) OVER(PARTITION BY signup_month ORDER BY activity_month), 4) as retention_rate
FROM user_activity
GROUP BY 1, activity_month
ORDER BY 1, 3;
"""
Production Failure Modes Addressed
Calculating dynamic rolling retention metrics (cohort analysis) within SQL requires extremely complex window function structures that break easily.
Exporting historical login logs to external business intelligence software or calculating metrics using slow loops in Python.
Cohort calculates rolling retention and user cohort metrics using incremental analytical SQL queries, replacing slow full-table scans with efficient delta-state rollups.
Autonomous State Machine & OTel Telemetry
Interactive trace visualizer showing ingress gating, in-memory state transition, and OTel emission.
UTC ISO-8601 Window Aligner & Timestamp Normalizer
HyperLogLog Idempotent Cardinality De-Duplicator
Triangle Matrix Dynamic Retention SQL Synthesizer
BigQuery & Snowflake Warehouse Synchronizer
Enterprise Runtime Specifications & SLA
Zero Data Retention (ZDR) Architecture
Operates strictly in-memory. Prompts and tool arguments are zeroized immediately following circuit evaluation.
VPC & Google Cloud Run Topologies
Deployable as an ephemeral sidecar, containerized Cloud Run microservice, or in-process Python/TS library.
Deterministic Circuit Breaker SLA
99.95% production uptime commitment with automatic graceful degradation on upstream LLM provider outages.
Open-Spec Code Ownership
Full Apache-2.0 core licensing. You maintain absolute ownership of your deployed infrastructure and workflows.
Production Benchmark Telemetry
Empirical test telemetry from continuous integration regression suites.
Deploy Cohort to Your Production Cluster
Explore the open-source specification on GitHub or connect with our engineering team to deploy a private, dedicated sandbox cluster on Google Cloud.