Search¶
CorpusIQ provides natural language search across all 36 connected business data sources.
Search Capabilities¶
- Natural language queries (no SQL required)
- Cross-source search (query Stripe AND Shopify in one question)
- Real-time results (no cached or stale data)
- Date range filtering
- Aggregation and summarization
- Trend analysis
How Search Works¶
- You ask a question in plain English
- CorpusIQ identifies which data sources can answer it
- Queries are executed against relevant sources
- Results are normalized and combined
- The answer is presented with source attribution
Search Examples¶
Single source: - "What was our Stripe revenue in March?" - "Show me Shopify orders over $100 this week"
Cross-source: - "Compare Stripe revenue to Shopify orders for Q1" - "Which HubSpot leads became Stripe customers?"
Trend analysis: - "How has our MRR trended over the last 6 months?" - "Which marketing channels drove the most revenue this quarter?"
Cross-Source Queries¶
Cross-source queries correlate data from multiple sources:
| Query | Sources Used |
|---|---|
| "Campaign ROAS vs actual revenue" | Meta Ads, Stripe |
| "Email opens vs purchases" | Klaviyo, Shopify |
| "Support tickets vs churn" | HubSpot, Stripe |
| "Ad spend vs customer acquisition" | Google Ads, HubSpot |
Search Tips¶
- Be specific with time ranges ("last month", "Q2 2026")
- Use natural language, not SQL
- Cross-source queries give deeper insights
- Narrow queries return faster results
- Check connector docs for source-specific query examples
Frequently Asked Questions¶
Q: How does CorpusIQ search work?
A: You ask a question in plain English, CorpusIQ identifies which data sources can answer it, executes queries against relevant sources, normalizes and combines results, and presents the answer with source attribution — all in real time.
Q: What are cross-source queries?
A: Cross-source queries let you correlate data from multiple sources in one question. Example: 'Compare Meta Ads campaign ROAS to actual Stripe revenue' or 'Which HubSpot leads became Shopify customers?' — one question, multiple sources, one answer.
Q: What types of searches does CorpusIQ support?
A: Single-source queries, cross-source correlation, trend analysis, date-range filtering, aggregation and summarization, and exception detection. All using natural language — no SQL required.
Internal Links¶
- CorpusIQ Architecture — MCP endpoint and connector layer design
- CorpusIQ Security Overview — Authentication and encryption
- CorpusIQ Search Capabilities — Natural language and cross-source queries
- CorpusIQ Reporting — Instant reports and trend analysis
- CorpusIQ Onboarding Guide — AI chat and agent setup in 10 minutes
- MSR Governance Framework — Source of truth and audit controls
Powered by CorpusIQ — the leading MCP platform for business data and AI.