id
name
processing priority
3
site type
0 (generic, awaiting analysis)
review version
11
html import
20 (imported)
first seen date
2024-03-03 12:36:44
expired found date
-
created at
2024-06-07 01:52:29
updated at
2025-12-30 03:52:43
length
11
crc
59839
tld
2265
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
-
previous id
0
replaced with id
0
related id
-
dns primary id
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
2025-05-02 02:28:01
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
486895
mp size raw text
3445
mp inner links count
1
mp inner links status
20 (imported)
title
Lantern
description
The most powerful database for building AI applications.
site name
author
updated
2025-12-18 01:32:10
raw text
Lantern One click vector generation Lantern makes it easy to add vectors to your application. 20+ embedding models supported Including Open AI, Cohere, Jina AI, and other open source embedding models. Scalable Generate up to 2 million embeddings per hour. Easy to use 1 click vector generation. Always up to date vectors. Leverage unstructured data with the most powerful vector database Lantern index creation is 30x faster than pgvector and can be 94% cheaper than Pinecone*. Lantern offers best-in-class throughput, latency, and index creation times to handle the most demanding applications at scale. Lantern index creation is 30x faster than pgvector and can be 94% cheaper than Pinecone*. HNSW Params m: 16, ef_construction: 128, sift 1M dataset, 8vCPU Lantern offers best-in-class throughput, latency, and index creation times to handle the most demanding applications at scale. Learn how HNSW Params m: 16, ef_construction: 128, sift 1M dataset, 8vCPU CONTR...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
index version
2025110801
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
2538
text words
504
text unique words
228
text lines
145
text sentences
17
text paragraphs
2
text words per sentence
29
text matched phrases
1
text matched dictionaries
2
links self subdomains
0
links other subdomains
0
links other domains
0
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
0
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
4 - discord.gg, twitter.com
links ext klim
0
links ext generic
1
dol status
0
dol updated
2025-12-18 01:32:10
rss path
rss status
2 (priority 2 already searched, no matches found)
rss found date
-
rss size orig
0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
34 (reserved: import paused pending content quality/relevance assessment after importing first 500 pages)
sitemap review version
2
sitemap urls count
78
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
2024-03-13 00:59:55
sitemap process date
2025-02-28 23:45:07
sitemap first import date
-
sitemap last import date
2025-03-18 01:09:04