clay-architecture-variants

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Choose and implement Clay integration architecture for different scales and use cases. Use when designing new Clay integrations, comparing direct vs queue-based vs event-driven, or planning architecture for Clay-powered data operations. Trigger with phrases like "clay architecture", "clay blueprint", "how to structure clay", "clay integration design", "clay event-driven".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Clay Architecture Variants ## Overview Three proven architecture patterns for Clay data enrichment at different scales. Clay is a hosted SaaS -- your architecture decisions focus on how you send data in (webhooks), how you get enriched data out (HTTP API columns, CRM sync, or CSV export), and how you orchestrate the flow. ## Prerequisites - Clay account with appropriate plan tier - Clear understanding of data volume and latency requirements - Infrastructure for chosen architecture tier (if queue-based or event-driven) ## Instructions ### Architecture 1: Direct Integration (Simple) **Best for:** Small teams, < 1K enrichments/day, ad-hoc usage. ``` ┌──────────────┐ webhook ┌───────────┐ │ Your App │───────POST─────>│ Clay Table │ │ (or CSV) │ │ (enriches) │ └──────────────┘ └─────┬─────┘ │ CRM action or CSV export │ v ┌───────────┐ │ CRM / DB │ └───────────┘ ``` ```typescript // Direct: send leads synchronously, export results manually async function directEnrich(leads: Lead[]): Promise<void> { for (const lead of leads) { await fetch(process.env.CLAY_WEBHOOK_URL!, { method: 'POST', headers: { 'Content-Type': 'application/j...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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