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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

AdKit logo
AdKit
✓ verifiedFree trial

Ads research and management toolbox letting marketers and AI agents track competitor ads and launch campaigns.

Tavily logo
Tavily
✓ verifiedFreemium

Real-time web search and content-extraction API that grounds AI agents with fresh, structured data for research and RAG.

1.3M visits/mo8.9K saves
exa.ai logo
exa.ai
✓ verifiedFreemium

Search, crawling and research API built for AI agents, with token-efficient results and structured web-data enrichment.

761K visits/mo1.7K saves
Pricing

No public pricing

Free trial available

Pay As You Go: $0.008/credit
Free: $0 (20,000 requests/mo)
Search: $7/1k requests
Contents: $1/1k pages
Deep Search: $12-15/1k requests
Monitors: $15/1k requests
Agent: $0.012-$1.00/run
Core features
  • Searchable library of 500k+ competitor ads with weekly digest alerts
  • AI ad generator built from a brand kit
  • AI ad cloner to remix competitor creatives
  • MCP servers for Meta, Google, TikTok, Reddit, LinkedIn, and X ads
  • Command-line tools per ad platform for terminal-based management
  • Agent-driven campaign drafting and performance diagnosis
  • Real-time web search API
  • Page content extraction and crawling
  • LLM-optimized structured/chunked output
  • Built-in PII and prompt-injection filtering
  • High-throughput, low-latency infrastructure
  • Drop-in integrations with major LLM providers
  • Web search API tuned for agents
  • Full-page contents with token-efficient highlights
  • Asynchronous agents for deep research and enrichment
  • Structured outputs with grounded citations
  • Web monitors that track new events on a schedule
  • Zero data retention and SOC 2 Type II controls
Use cases
  • Founders running ads without hiring an agency
  • Agencies managing and monitoring multiple client ad accounts
  • Marketers tracking new competitor ad launches automatically
  • AI-agent-driven ad creation, launch, and optimization workflows
  • Grounding AI agents with live web data to reduce hallucination
  • Building research or retrieval-augmented generation (RAG) applications
  • Powering AI-driven search assistants
  • Enterprise-scale agents needing reliable web access
  • Give coding agents current docs and repo context
  • Power chatbots with real-time web answers
  • Enrich company and people data at scale
  • Monitor the web for fresh events
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