Connect Convex Data — Real-Time Database Insights
Connect Convex and let AI agents query application data, user metrics, and backend performance alongside marketing attribution from 1,000+ sources.
Key Takeaways Connect Convex to your data warehouse
Improvado integrates with Convex to extract application data, user metrics, and backend performance statistics. The connector pulls data automatically every 2 hours, keeping your product analytics current. No manual data exports or complex queries needed. Connect to BigQuery, Snowflake, Redshift, or other destinations with pre-configured schemas that work immediately.
From connection to autonomous action in three steps
Connect
Connect your Convex deployment using an API key with read/write permissions. The agent authenticates via Convex's REST API and establishes a secure connection to your project environment.
Ask
Ask questions like 'Which functions have the highest error rates this week?' or 'Show me database query performance for the orders table' or 'What's the current document count across all tables?'
Act
The agent executes schema migrations, adjusts function rate limits, creates database indexes, configures authentication rules, and triggers data backfills across your Convex tables.
What teams ask their AI agent about Convex
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Analyze user behavior by combining Convex app data with marketing attribution sources
Your AI agent analyzes Convex data and delivers actionable insights — automatically, in seconds.
Track product performance metrics alongside customer acquisition costs and revenue data
Your AI agent analyzes Convex data and delivers actionable insights — automatically, in seconds.
Generate executive dashboards showing app usage, user growth, and business performance
Your AI agent analyzes Convex data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read Convex — it connects app usage to acquisition cost.
Read
The agent reads function execution metrics, database query performance, document counts per table, error rates and stack traces, authentication logs, schema definitions, and real-time subscription activity across your Convex backend.
Write
The agent creates and modifies database indexes, adjusts rate limits on functions, executes schema migrations, configures authentication providers, triggers scheduled functions, and performs bulk document operations on Convex tables.
Monitor
The agent monitors function latency thresholds, error rate spikes, database query performance degradation, authentication failures, rate limit breaches, and unusual patterns in real-time subscription load.
AI agents query application data, user behavior, and backend metrics from Convex in real-time. They can analyze product engagement by acquisition channel, track feature usage against customer lifetime value, and answer "What's the average session length for users acquired through paid search?" by combining Convex with marketing data.
| Function Name | Avg Latency | Change 24h |
|---|---|---|
| processShipment | 67ms | -12% |
| updateStockLevels | 134ms | +8% |
| validateOrder | 23ms | -5% |
| calculateRouting | 201ms | +23% |
| syncCarrierStatus | 89ms | -3% |
Send Convex data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
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 Convex 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.
Frequently asked questions
What Convex data does Improvado extract?
How do I set up Convex integration with Improvado?
Can I combine Convex data with other analytics platforms?
Which destinations support Convex data integration?
Does integration impact Convex application performance?
How does Improvado handle Convex schema changes?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"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."
Put an AI agent on your Convex today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.