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Papaya

Papaya

Continuous optimization for AI agents

niyazpkniyazpk·Published on Oct 27, 2026·0 reputationReputation invested into this product to boost its ranking. Anyone can spend the reputation they've earned here — recent investments count for more and lift the product higher on the leaderboard. This is separate from community upvotes.
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Categories
AIAnalytics & MonitoringDeveloper Tools
Use cases
AI AgentsCost & Usage TrackingMonitoring & Alerting
Target audience
AI DevelopersAI EngineersAI-Native EngineersSaaS Founders
Pricing model
Freemium
Platforms
WebAPISlack AppMCP

▤ Screenshots

About Papaya

Papaya is the optimization engine for AI agents. Engineers don't have time to continually improve the agents they've shipped — the context bloat, overly chatty subagents, and broken tool calls sit in production traces nobody reads. With Papaya they connect their agent directly via SDK, get actionable recommendations on how to improve quality, latency, and cost, and the ones they approve are pushed to production as pull requests. Papaya runs 200+ research-backed analyses across context, prompts, prompt caching, subagents, and tool calls. Every recommendation is ranked by impact and comes with the production runs that produced it — typically a 10%+ quality improvement on the first workflow analysis.

✦ Good to know

  • Free developer plan covers 1 agent and up to 1,000 traces per month.
  • Business plan costs $500 per month for up to 3 agents and 50,000 traces.
  • Includes automated PR creation and Slack integration on the Business plan.
  • Wraps any LLM or agent client with one line of code, processed asynchronously.

Taken from the product's own website and re-checked automatically.

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