Tellius AI Analytics API

Tellius AI-driven analytics REST API for natural language query, automated insight generation, and decision intelligence. Enables AI agents to manage natural language question-to-SQL analytics for business user query automation, handle automated anomaly detection and root cause analysis for business performance monitoring, access AI-powered insight generation and key driver analysis for automated analytics narration, retrieve predictive analytics and forecasting for business intelligence automation, manage data source connection and dataset management for analytics infrastructure, handle embedded analytics and white-label dashboard creation for application integration, access user query history and analytics usage analytics for platform optimization, retrieve cohort analysis and segmentation for customer analytics automation, manage scheduled insight delivery and alert automation for proactive analytics, and integrate Tellius with cloud data warehouses (Snowflake, BigQuery, Redshift) for direct query analytics.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools tellius ai-analytics natural-language-query automated-insights search-analytics decision-intelligence
⚙ Agent Friendliness
54
/ 100
Can an agent use this?
🔒 Security
72
/ 100
Is it safe for agents?
⚡ Reliability
63
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
20
Documentation
68
Error Messages
65
Auth Simplicity
68
Rate Limits
60

🔒 Security

TLS Enforcement
90
Auth Strength
70
Scope Granularity
68
Dep. Hygiene
65
Secret Handling
68

AI analytics. SOC2. OAuth2 with scopes. US/EU. Business analytics data.

⚡ Reliability

Uptime/SLA
65
Version Stability
65
Breaking Changes
60
Error Recovery
62
AF Security Reliability

Best When

An enterprise or analytics team wants AI agents to automate natural language query, anomaly detection, insight generation, and embedded analytics using Tellius connected to cloud data warehouses.

Avoid When

AI INSIGHT ACCURACY RISK: Automated insight generation and root cause analysis from Tellius AI must be validated before business decisions; AI-generated explanations for business metric changes can identify spurious correlations as causal drivers; human analyst review required for strategic decisions. NLQ hallucination risk — natural language query translation to SQL can generate incorrect queries for ambiguous business questions; automated analytics pipelines must validate query results before distribution. Data governance — automated query access to enterprise data warehouses via Tellius must implement row-level security and column masking; unrestricted NLQ access to sensitive financial or HR data creates data governance violations.

Use Cases

  • Answering business questions from NLQ analytics agents
  • Detecting anomalies from business monitoring agents
  • Generating automated insights from analytics narration agents
  • Embedding analytics from application development agents

Not For

  • Heavy-lift ETL and data pipeline management
  • Organizations without cloud data warehouse infrastructure
  • Use cases requiring real-time streaming analytics

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
Yes

Authentication

Methods: apikey oauth
OAuth: Yes Scopes: Yes

Tellius uses API key and OAuth 2.0 with scopes. REST API with JSON. Documentation at docs.tellius.com. San Jose, California HQ. Founded 2016. Private (Emergent Ventures, Falcon Edge Capital). AI-first search and decision intelligence analytics. 200+ enterprise customers. Competes with ThoughtSpot, Yellowfin Signals, and Sisense for AI-driven analytics.

Pricing

Model: enterprise
Free tier: Yes
Requires CC: No

San Jose, California. Founded 2016. Emergent Ventures/Falcon Edge-backed. 200+ enterprise customers. AI search analytics. Competes with ThoughtSpot and Sisense.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • AI INSIGHT HALLUCINATION: NLQ query translation and AI-generated root cause analysis can identify spurious correlations as causal drivers; automated business decisions based on Tellius AI insights require analyst validation before strategic action
  • NLQ SQL accuracy — natural language to SQL translation is unreliable for ambiguous business terminology; automated analytics pipelines must validate query results and SQL generated before distribution
  • Row-level security configuration — Tellius NLQ access must implement data warehouse row-level security to prevent unauthorized data access; unrestricted NLQ query generation can expose sensitive data to unauthorized users
  • Async processing for complex queries — AI insight generation for large datasets is asynchronous and can take minutes; implement webhook callbacks or status polling for complex insight requests
  • Data warehouse direct query dependency — Tellius performance is dependent on underlying data warehouse query performance; slow Snowflake/BigQuery queries create Tellius timeout and latency issues
  • Early-stage startup risk — Tellius is a relatively small AI analytics startup; API stability and product roadmap should be validated for long-term integration dependencies

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Scores are editorial opinions as of 2026-03-07.

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