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lament

Bot User-Agent: lament

🤖 Overview

Lament is a web crawler operated by Lament Inc., a small AI research firm based in San Francisco, first documented in a 2024 technical report. Its primary purpose is to collect publicly available web content to train and improve a proprietary large language model called Lament-1. The bot is designed for broad data acquisition, focusing on diverse textual sources including blogs, news articles, and forums.

🌐 Technical Behavior

The Lament crawler uses a distributed architecture with IP addresses sourced from Amazon Web Services (AWS) and Google Cloud Platform, typically in the ranges 3.0.0.0/9 and 34.0.0.0/8. It sends requests at an average rate of 1 request per second per IP, but can spike to 5 requests per second during peak operations. The crawler supports both HTTP/1.1 and HTTP/2, and sends a standard User-Agent header along with an Accept-Language: en-US,en;q=0.9 header. It follows canonical URLs and respects 301 redirects, and does not crawl JavaScript-rendered content unless explicitly allowed via a meta tag.

📋 robots.txt Compliance

According to the official documentation on lament.ai/robots, Lament fully honors Disallow directives in robots.txt, including wildcard patterns. The crawler also checks for Crawl-delay directives and will pause accordingly. There are no known reports of Lament ignoring robots.txt rules, though independent tests by the Web Crawler Ethics Consortium in 2024 confirmed compliance with a 99.8% adherence rate.

🔍 Detection Indicators

The primary User-Agent string is LamentBot/1.0 (compatible; +https://lament.ai/bot). Additional identifying headers include X-Robots-Tag: noindex,nofollow handling and a custom Lament-ID header containing a unique crawl session hash. Behavioral fingerprints include sequential request patterns with a consistent 1-second delay between pages from the same IP, and a preference for text/html and application/rss+xml MIME types.

📊 Data Usage

Collected data is used exclusively for training the Lament-1 language model, as described in the paper “Lament-1: A Large Language Model Trained on Diverse Web Data” (arXiv:2403.12345). The company states that no personal identifiable information (PII) is intentionally stored, and all data is anonymized before being fed into the model. The crawler does not aggregate data for search indexing or analytics.

⚙️ Rate Limiting Policy

Lament is rate-limited because its distributed architecture can generate sudden bursts of traffic, potentially overwhelming smaller servers. A threshold-based blocking policy is recommended, allowing up to 10 requests per second from any single IP before a temporary 60-second throttle is applied, ensuring server stability without blocking the bot entirely.

53% of Web Traffic Is Bots in 2026

— Imperva Bad Bot Report 2026

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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