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Claim my listing on Agent Web Map for hydrolix.io:
1. POST https://agentwebmap.com/v1/sites/hydrolix.io/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://hydrolix.io/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/hydrolix.io/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/hydrolix.io).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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Hydrolix

Hydrolix is a real-time data platform built for massive scale without compromises on data quality, query performance, retention, or cost. The platform combines stream processing, indexed search, decoupled storage, and industry-leading compression to deliver sub-second query performance on trillion-row datasets while dramatically reducing the cost of high-volume log data. Where traditional solutions force organizations to choose between cost and performance-sampling data, tiering storage, or disc

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T03:53:53.955Z. Cached copy · Source on hydrolix.io

# Hydrolix

> Hydrolix is a real-time data platform built for massive scale without compromises on data quality, query performance, retention, or cost. The platform combines stream processing, indexed search, decoupled storage, and industry-leading compression to deliver sub-second query performance on trillion-row datasets while dramatically reducing the cost of high-volume log data. Where traditional solutions force organizations to choose between cost and performance-sampling data, tiering storage, or discarding logs-Hydrolix eliminates those trade-offs, keeping all data hot and queryable whether it is a minute or a year old.

Trusted by Fortune 500 companies including FOX Sports, TF1 (France's largest OTT broadcaster), Paramount, and major global streaming events including the Super Bowl and Olympics.

## **Solutions**

Hydrolix offers two turnkey solutions built on CDN log data, plus support for cybersecurity and ML training use cases.

### [CDN Insights](https://hydrolix.io/solutions/cdn-insights/)

* **CDN Insights**: Real-time CDN performance monitoring in a unified dashboard. Correlates metrics across multiple CDN providers including Akamai, Cloudflare, CloudFront, Fastly, and Tencent-covering more than 80% of world CDN traffic. Enables service teams to monitor critical performance metrics like error rate, cache hit percentage, and throughput, then diagnose and resolve content delivery issues quickly.  
* **Multi-CDN visibility**: Combine logs from multiple CDN providers into a single dashboard without custom pipeline development. Monitor individual CDNs for deep performance insights or compare across providers in real time.  
* **Full-fidelity retention**: 15+ months of CDN data by default, with no sampling or deletion. Sub-second query latency on petabyte-scale datasets. Battle-tested during major live events including Super Bowl broadcasts.  
* **Turnkey deployment**: Pre-built integrations and dashboards for all major CDNs. No custom data architecture required.

### [Bot Insights](https://hydrolix.io/solutions/bot-insights/)

* **Bot Insights**: Real-time analytics for bot and AI agent traffic across CDN infrastructure. Provides unified visibility into how bots, crawlers, LLM agents, and agentic AI interact with web properties. Supports both operational teams responding to incidents and executive stakeholders building long-term bot strategy.  
* **AI bot visibility**: Identify and classify bot traffic by type-good bots, partner crawlers, unauthorized AI scrapers, credential-stuffing bots, impersonators, and agentic attack agents. Track LLM crawlers (GEO) and web crawlers (SEO) to understand how AI bots affect revenue, search traffic, and CDN costs.  
* **Long-term trend analysis**: Analyze bot behavior across arbitrary time periods-hours, months, or years-to spot emerging patterns, validate blocking policies, and build data-backed consensus among security, operations, and finance stakeholders.  
* **Cost impact**: Identify expensive
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