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Show HN: public 500 TB internet index in ClickHouse, with congestion pricing

Scry.io2 min read
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Show HN: public 500 TB internet index in ClickHouse, with congestion pricing

Original Article Summary

Meet Scry, where I provide MCP access to a 500 TB NVMe internet index well organized in ClickHouse--I'm doing my best indexing and normalizing all the intelligence explosion alpha--that you can run ~arbitrary readonly SQL and some of Datalog over, and I handl…

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Our Analysis

Scry's release of a public 500 TB internet index hosted in ClickHouse, accessible via read‑only SQL and limited Datalog queries, introduces a massive, queryable dataset that can be leveraged by AI‑driven services and crawlers. For website owners, this means a new, highly efficient source of external data that AI bots can tap to enrich content generation, SEO analysis, or automated monitoring tools. The index’s “congestion pricing” model also incentivizes responsible usage, but any bot that scrapes or references the dataset will generate additional traffic signatures that can be distinguished from typical user behavior. Ignoring this influx could inflate analytics, skew performance metrics, and expose sites to inadvertent policy violations if generated content mirrors indexed material without proper attribution. **Actionable tips:** 1. **Update your llms.txt** to explicitly declare whether you permit AI agents to query Scry’s index when generating site‑specific content; use `allow: https://scry.io/*` or `disallow:` as appropriate. 2. **Implement bot‑traffic filters** in your analytics stack to flag requests originating from known Scry client libraries or IP ranges associated with the ClickHouse service, allowing you to separate genuine user traffic from AI‑driven queries. 3. **Monitor congestion‑pricing thresholds** by tracking request rates; set alerts when traffic spikes approach the pricing limits, enabling you to adjust rate limits or request throttling before costs or performance degrade.

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