How much does camelAI cost?

Free to try with a free tier and self serve paid plans; enterprise adds self hosted, VPC, on premises, and row level security. Exact paid tier prices were not retrieved this session.

What are the best alternatives to camelAI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to camelAI among data analyst agents are Wisdom AI, Kaaj AI, Pluvo, Potato. Each is graded on the same public evidence, and no vendor pays for placement.

Does camelAI support MCP and tool calling?

Full under the Agentic Index verification standard. camelAI publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: Exposes a REST API with stateful and stateless modes, an iframe for embedding analytics into a SaaS product, a developer console, and single endpoint text to SQL, so developers can integrate camelAI in minutes. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does camelAI have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. camelAI publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: CASA certified and pursuing SOC 2, with AES-256 at rest, TLS 1.3 in transit, AWS KMS, encrypted database credentials, no training on customer data, row level security, and VPC, on premises, and self hosted deployment options. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can camelAI be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. camelAI publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Offers cloud SaaS on AWS plus VPC, on premises, and self hosted deployment for enterprise customers, with row level security so users only see authorized data. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Back to vendors

camelAI

Q: Who is camelAI for?

startups, SMB, product teams, SaaS companies, data teams

Also known as: CamelAI

Visit site

Data analyst agentindependentVerified 2026-07-08

Entry priceFree tier available (start free, no SQL needed); self serve paid and enterprise tiers (self hosted, VPC) with pricing not retrieved this session.Full pricing detail

AI data analyst turned AI software engineer that chats with your data, writes and deploys code, and runs scheduled autonomous agents from its own persistent computer.

camelAI began as an AI data analyst that lets non technical teams chat with their data in plain English and has grown into an AI software engineer with its own persistent computer. It acts as a deep research agent that explores a database iteratively, writes and refines multiple SQL queries behind the scenes, and returns interactive Plotly visualizations with written analysis, saved to dashboards that refresh automatically. Beyond analytics it now writes real code, connects to 50+ tools, and deploys to a live URL from a single conversation, and it can run scheduled autonomous agents (no human in the loop) such as a monitoring agent that checks Stripe metrics hourly and flags anomalies to Slack, or a background worker that reconciles a CRM and database around the clock. A knowledge base and reference query system let teams encode domain terminology, metric definitions, and table relationships for consistent, correct answers. It is CASA certified and pursuing SOC 2, encrypts data in transit and at rest, does not train on customer data, supports row level security, and offers VPC, on premises, and self hosted deployment, plus a REST API and iframe for embedding analytics into a SaaS product.

Vendor details

Canonical URL

https://camelai.com

Funding status

Independent. Founding team previously shipped several products together. Specific funding figures were not retrieved this session.

Company status

independent

Use cases & customers

Primary use cases

chat with your data (text to SQL)automated reports and dashboardsembedded analytics for SaaSscheduled monitoring and background agentsbuilding and deploying data apps

Target customers

startupsSMBproduct teamsSaaS companiesdata teams

Deployment options

SaaSVPCon-premself-hostedembedded (iframe/API)

Integrations

Connects to 50+ tools and data sources out of the box, including PostgreSQL, MySQL, ClickHouse, DuckDB, BigQuery, Snowflake, Supabase, MongoDB, plus Stripe, HubSpot, Salesforce, Notion, and GitHub. Talk to the agent via chat, its own workspace email address, or Slack.

Sources & related URLs

Research sources

https://camelai.com/ https://camelai.com/api/ https://camelai.com/docs/dev_api/introduction https://www.producthunt.com/products/camelai https://camelai.com/blog/introducing-the-camelai-api-ai-powered-analytics-p/ https://camelai.com/blog/data-analytics-for-product-managers/ https://www.camelai.cc/index.html

Agentic Index coverage score

11.5 / 14 capabilities · 82%

Integrations & Tool CallingConnects to 50+ tools and data sources out of the box, including PostgreSQL, MySQL, ClickHouse, DuckDB, BigQuery, Snowflake, Supabase, and MongoDB plus Stripe, HubSpot, Salesforce, Notion, and GitHub.	Full
Workflow OrchestrationActs as a deep research agent using multiple Claude Sonnet worker agents that autonomously execute and refine multiple queries, and can run scheduled autonomous agents, monitoring agents, and background workers that build, deploy, and sync systems around the clock.	Full
Knowledge Grounding & RAGA knowledge base and reference query system let teams define domain terminology, metric definitions, table relationships, and formatting preferences, and give the model explicit SQL patterns, anchoring answers in the customer's data and semantics for consistent, correct output.	Full
Human Oversight & GuardrailsInteractive use invites users to review results, verify insights, and inspect the agent's transparent thought process and exact SQL, but scheduled agents are designed to run with no human in the loop and no formal approval or guardrail construct is documented.	Partial
Security, Identity & GovernanceCASA certified and pursuing SOC 2, with AES-256 at rest, TLS 1.3 in transit, AWS KMS, encrypted database credentials, no training on customer data, row level security, and VPC, on premises, and self hosted deployment options.	Full
Observability & AuditabilityEvery query is transparent and logged with a description and the exact SQL used, the agent's reasoning or thought process is shown, and users can watch it write SQL in real time and manage saved artifacts.	Full
Memory & State PersistenceThe agent runs on its own persistent computer and remembers everything, conversation history persists across sessions, and the knowledge base retains company context, with stateful API support.	Full
Deployment & Data ResidencyOffers cloud SaaS on AWS plus VPC, on premises, and self hosted deployment for enterprise customers, with row level security so users only see authorized data.	Full
Prebuilt Agents / Templates / PacksProvides pre-loaded datasets, recommended queries, reference query patterns, and example agents such as monitoring and reporting workers, but not a broad catalog of prebuilt agents or packs.	Partial
Triggers & Channel CoverageAgents can be scheduled to run tasks autonomously, monitor metrics (for example checking Stripe hourly), respond to webhook events, and run as around the clock background workers, and are reachable across chat, a per workspace email address, and Slack.	Full
Model Flexibility & RoutingUses both OpenAI and Anthropic APIs internally, running multiple Claude Sonnet worker agents and compiling with an OpenAI reasoning model, indicating multi provider routing, though customer facing model selection is not documented.	Partial
APIs / SDKs / MCP ExtensibilityExposes a REST API with stateful and stateless modes, an iframe for embedding analytics into a SaaS product, a developer console, and single endpoint text to SQL, so developers can integrate camelAI in minutes.	Full
Testing, Debugging & OptimizationThe agent iteratively refines its SQL queries based on results to converge on a correct answer, a form of self correction, but no formal agent evaluation or testing harness is documented.	Partial
Browser / Computer-usecamelAI operates its own persistent computer to write, run, and deploy code to a live URL, but whether it performs browser or GUI computer use versus code execution in its environment is not clearly documented.	Partial

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-07-27·Deployment / data residencyVerified

camelAI completely redesigned its coding agent architecture, migrating from per-user virtual machines to a serverless model using Cloudflare Durable Objects. The updated execution stack stores project files in SQLite and R2, replacing open-ended bash commands with sandboxed JavaScript Code Mode running in V8 isolates.

Bears on: Agent capability

View source

2026-07-21·Pricing / packagingVerified

camelAI introduced a free tier powered by a self-hosted DeepSeek V4 Flash model running on AWS spot instances. The architecture routes requests through a Cloudflare AI Gateway with automatic failover to Azure's hosted DeepSeek service.

Bears on: Pricing / packaging

View source

View all 2 changes for camelAI →Tracked since Jul 2026 · Verified from public vendor sources

Pricing

Free tier available (start free, no SQL needed); self serve paid and enterprise tiers (self hosted, VPC) with pricing not retrieved this session.

seats and usage, plus enterprise self-hosted

Free tierTrial available

Cost watchouts

Usage on larger data warehouses and heavier agent scheduling may raise cost; enterprise self hosted and VPC are quote based.

Variable cost rationale

Combines seats with query and agent run usage; cost grows with data volume and scheduled agent activity, though a free tier caps entry cost.

Sales call required

Mixed (some tiers require a call)

Free / trial

Free to try; free tier available

Lowest paid plan

Not retrieved this session; free tier available

Key ambiguities

A free tier is clearly offered, but exact paid and enterprise tier prices were not retrieved from the pricing page this session.

Agentic Index verified 2026-07-08

Official pricing page

Related vendors

Alternatives to camelAI

The closest documented capability profiles to camelAI among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Wisdom AI10.5 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs
Kaaj AI10.0 / 14Fuller documented coverage on Human Oversight & Guardrails
Pluvo9.0 / 14A lighter documented profile than camelAI
Potato10.0 / 14Fuller documented coverage on Testing, Debugging & Optimization
Querio9.0 / 14A lighter documented profile than camelAIcamelAI vs Querio →
Seek AI9.0 / 14A lighter documented profile than camelAI

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare camelAI with other vendors →Compare all data analyst agents →See where camelAI ranks →

Data confidence: high

Head to head

camelAI vs Querio camelAI vs Redbird