quiltt.dev
success
Claude Code
intent
What does quiltt.dev do and who is it for? Explain it back to me.
10steps
65.1sduration
$0.7869cost
79,200tokens
14 steps4 reasoning steps6 searches
home
search
home
/get-started
search
docs
search
search
search
search
25%
on-site discovery
50%
reliability
0%
link following
path origin
- web search75%
- prior knowledge25%
insight
The agent successfully assembled a comprehensive explanation of Quiltt by working around blocked documentation (quiltt.dev was Cloudflare-protected) and relying on the marketing site (quiltt.io). It retrieved what, who, pricing, and differentiation directly from the landing page and pricing page, and supplemented with web search context on competitors. The site exposed core messaging and pricing on public pages, but left details on higher-tier pricing and usage credit mechanics unclear.
- ›Step [4] (quiltt.io homepage) returned the core value proposition—'unified open banking API platform'—and positioned the product as an abstraction layer across Plaid, MX, Finicity, and Akoya. This framing was foundational to the agent's answer.
- ›Step [9] (quiltt.io/pricing) provided the tiered pricing structure (Builder, Startup, Scale, Enterprise with monthly costs) and explicitly stated 'one contract covers MX, Finicity, Plaid, and Akoya'—a key differentiator. However, Scale and Enterprise details required contacting sales, leaving pricing incomplete for higher tiers.
- ›The quiltt.dev documentation site (steps [1], [5]) was completely inaccessible due to Cloudflare protection, forcing reliance on marketing collateral and web search rather than official docs. This created friction: the agent could not verify SDK details, API reference, or technical specifics directly.
- ›Web search results (steps [3], [7], [8], [10], [12]) provided URLs to internal blog posts and guides (cited in final response) but the agent did not fetch those links during the run—it only cited them based on search titles, indicating prior knowledge or inference. These sources were referenced but not validated.
- ›The agent had to infer the multi-rail/fallback-routing differentiator from search snippet context (step [12]) rather than from directly fetched content. The exact mechanics of 'intelligent routing' and how fallback works were not explicitly detailed in the responses retrieved.
- ›The site is moderately agent-ready on the marketing layer (landing page, pricing page are accessible and structured) but poorly agent-ready on the technical/documentation layer (blocked access to dev docs). Pricing tiers are transparently named but cost/credit-to-usage conversion was not published.
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