ConfigCat Data Integration — Feature Flag Insights

Connect ConfigCat and let AI agents query feature flag usage, evaluation metrics, and rollout data alongside product analytics from 1,000+ sources.

SOC 2 Type II 1,000+ data sources Any warehouse or BI tool

Improvado Agent

Connected to ConfigCat

Show me feature flag rollout status for our mobile checkout flow across production environments.

Your mobile checkout flags are live in 3 environments. The new payment method flag is at 100% rollout in US-EAST, 50% in EU-WEST, and 10% in APAC. Total active users under these flags: 47,200 today.

Increase EU-WEST rollout to 75% if conversion rate stays above 3.2%.

EU-WEST rollout increased to 75%. Monitoring conversion rate—current 3.4%. Alert set for threshold drop.

Trusted by data-driven teams

1,000+

Integrations

200+

ConfigCat Fields

99.9%

SLA Uptime

<5 min

Setup

SOC 2

Type II

Key Takeaways

Connect ConfigCat integration seamlessly

Improvado connects to ConfigCat's Management API to extract feature flag usage, evaluation metrics, user targeting data, and configuration changes. The platform automatically syncs data on your preferred schedule—hourly, daily, or custom intervals. No manual data exports or API development required. Your ConfigCat feature flag analytics flow directly into your data warehouse or BI tool.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the ConfigCat API

15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.

Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.

Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio

AI Agent access via MCP Query, write, and monitor ConfigCat through Claude, ChatGPT, Cursor, or any MCP client

Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.

OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.

Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.

Integration Details

Unified feature flag data across environments

Improvado's Marketing Common Data Model (MCDM) standardizes ConfigCat metrics alongside data from application monitoring, analytics platforms, and development tools. Feature flag evaluations, user segments, and rollout performance align with consistent naming conventions across all your data sources. This normalization enables comprehensive product analysis and feature adoption tracking in unified dashboards.

ConfigCat Public API v1 · API key · hourly sync · full refresh

Schema Overview

Data objects and fields Improvado extracts from ConfigCat

Object	Fields
Feature Flag	key name hint setting_type value enabled
Environment	environment_id name color description
Product	product_id name description order
Setting	setting_id key name hint setting_type order

How it works

From connection to autonomous action in three steps

Connect

Connect ConfigCat using your API key from the dashboard. The agent accesses feature flags, targeting rules, and rollout percentages across all environments in read-write mode.

Ask

Ask questions like 'Which flags are currently in gradual rollout?' or 'What's the user distribution for payment feature flags in production?' The agent queries flag states, environment configs, and user segment targeting.

Act

The agent adjusts rollout percentages, enables or disables flags across environments, updates targeting rules, creates flag variations, and triggers rollbacks when performance thresholds are breached.

Use Cases

What teams ask their AI agent about ConfigCat

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →

Improvado Agent Analysis

Track feature adoption rates across user segments to optimize product rollout strategies

Your AI agent analyzes ConfigCat data and delivers actionable insights — automatically, in seconds.

3 hrs → 8 min

Improvado Agent Cross-channel

Analyze feature flag performance impact on conversion rates and user engagement metrics

Your AI agent analyzes ConfigCat data and delivers actionable insights — automatically, in seconds.

Manual → auto

Improvado Agent Reporting

Generate product reports combining feature usage with business KPIs and user behavior

Your AI agent analyzes ConfigCat data and delivers actionable insights — automatically, in seconds.

2 hrs → 5 min

AI Agent Access

Your agent doesn't just read ConfigCat — it measures feature impact on KPIs.

Read

The agent reads feature flag states, rollout percentages, targeting rules, environment configurations, user segment distributions, flag evaluation counts, and historical flag changes across all connected projects.

Write

The agent modifies rollout percentages, enables or disables feature flags, updates targeting rules and conditions, creates new flag variations, schedules gradual rollouts, and executes emergency rollbacks across specified environments.

Monitor

The agent monitors flag evaluation volumes, rollout progression against performance thresholds, user segment behavior under flag variations, environment-specific flag states, and conversion or error rate changes tied to flag deployments.

AI agents query feature flag evaluations, targeting rules, and configuration changes from ConfigCat. They can analyze feature adoption by user segment, correlate flag rollouts with conversion rate changes, and answer "Did enabling the new checkout feature increase revenue for premium users?" by connecting flags with business metrics.

Claude ChatGPT Cursor Gemini Any MCP Client

Explore MCP →

Improvado Agent · ConfigCat

You

Show feature flag performance for checkout flow flags in the last 7 days

Flag Performance

Flag Name	Rollout %	Impact
express_checkout_v2	100%	+4.2% CVR
apple_pay_integration	75%	+8.1% CVR
one_click_upsell	50%	+2.7% AOV
guest_checkout_flow	25%	+1.9% CVR
saved_payment_methods	10%	+3.4% CVR

5 flags · 3 environments · 89K users in experiments

You

Roll back one_click_upsell to 25% in all environments

Rollback Scheduled

one_click_upsell → 25% across 3 environments

Destinations

Send ConfigCat data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

Snowflake → BigQuery → Redshift → Databricks → Power BI → Tableau → Looker Studio → Google Sheets → Domo → Excel → Qlik → Amazon S3 → Metabase → Grafana → PostgreSQL → Azure SQL →

SOC 2 Type II: Certified Security

HIPAA: Health Data Privacy

GDPR: EU Data Protection

CCPA: CA Privacy Standard

Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with ConfigCat as one of 1,000+ integrated sources.

Feature	Improvado	Supermetrics	Funnel.io	Fivetran
Data fields extracted	200+	~90	~120	~80
Total integrations	1,000+	~150	~500	~300
Cross-channel normalization (CDM)	✓ Built-in	✗ Manual	Basic mapping	✗ Raw only
AI Agent access (MCP)	✓ Read, Write, Monitor	✗	✗	✗
Data warehouse destinations	✓ 16+ warehouses & BI tools	Sheets, Looker, BigQuery	BigQuery, Snowflake, Redshift	✓ Broad warehouse support
Refresh frequency	Every 15 min	Scheduled triggers	Daily / 6hr	Every 15 min (premium)
SOC 2 Type II & HIPAA	✓	✗ SOC 2 only	✓ SOC 2	✓
Best for	Teams that want an AI agent, not a pipeline	Small teams, spreadsheets	Mid-market, data teams	Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What ConfigCat data can Improvado extract?

Improvado extracts feature flag evaluations, user targeting data, configuration changes, and rollout metrics from ConfigCat. The platform captures flag usage statistics, evaluation counts, and user segment performance. Environment-specific data and historical configuration changes are included in the extraction.

How often does Improvado sync ConfigCat data?

Improvado can sync ConfigCat data hourly, daily, or on custom schedules based on your feature release cycle. The platform automatically detects new flag evaluations and configuration changes. Sync frequency can be adjusted based on your deployment frequency and analysis needs.

Can I combine ConfigCat data with application analytics?

Yes, Improvado normalizes ConfigCat data with Google Analytics, Mixpanel, Amplitude, and other product analytics platforms. The Marketing Common Data Model ensures consistent user identification and event tracking. This enables feature impact analysis on business metrics and user behavior.

Does Improvado handle ConfigCat API authentication?

Improvado manages all ConfigCat API authentication and handles secure connections automatically. You provide your ConfigCat API key once during setup, and the platform maintains secure access. No ongoing technical maintenance or token management required on your end.

What destinations work with ConfigCat data integration?

Improvado loads ConfigCat data into BigQuery, Snowflake, Redshift, Azure, Tableau, Power BI, and Looker. The platform transforms feature flag metrics into analysis-ready formats for each destination. You can send ConfigCat data to multiple destinations for different team reporting needs.

How does Improvado transform ConfigCat evaluation data?

Improvado transforms ConfigCat evaluation data into time-series tables with normalized user identifiers and flag states. Evaluation metrics become aggregated by time periods, user segments, and environments. The platform preserves all original evaluation context while making it accessible for standard BI analysis and trending.

Customer stories

See all customer stories →

“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”

Jeff LeeHead of Social, Media Buy, Influencer & Marketing Data, ASUS

Read story →

“Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours.”

Marc CerniglioInsights & Automation Manager, Chacka Marketing

Read story →

Put an AI agent on your ConfigCat today

Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.

Get your agent View all 1,000+ integrations