🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 115 (from laksa007)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa115.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical, ml_categories_json AS ml_categories_json, ml_types_json AS ml_types_json, ml_intent_types_json AS ml_intent_types_json, meta_language AS meta_language, attrs_author AS attrs_author, ifNull(toUnixTimestamp(attrs_publish_time), 0) AS attrs_publish_time, ifNull(toUnixTimestamp(attrs_original_publish_time), 0) AS attrs_original_publish_time, ifNull(attrs_is_republished, 0) AS attrs_is_republished, ifNull(attrs_nr_words, 0) AS attrs_nr_words, ifNull(attrs_boilerpipe_nr_words, 0) AS attrs_boilerpipe_nr_words, ifNull(body_ext_links_number, 0) AS body_ext_links_number, ifNull(body_int_links_number, 0) AS body_int_links_number, ifNull(meta_nofollow, 0) AS meta_nofollow, ifNull(meta_noarchive, 0) AS meta_noarchive, ifNull(props_was_rendered, 0) AS props_was_rendered, ifNull(src_redirect, \'\') AS src_redirect, ifNull(download_time_msec, 0) AS download_time_msec, ifNull(download_ttfb_msec, 0) AS download_ttfb_msec, ifNull(download_size, 0) AS download_size FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://homepage.divms.uiowa.edu/~mbognar/applets/beta.html\')), getAhrefsUnparsedNoserviceFromURL(\'https://homepage.divms.uiowa.edu/~mbognar/applets/beta.html\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/homepage.divms.uiowa.edu\/~mbognar\/applets\/beta.html","crawl_time":1774875808,"first_indexed_time":1529525665,"http_code":200,"src_unparsed":"edu,uiowa!divms,homepage,\/~mbognar\/applets\/beta.html s443","src_root_hash":"15749649359141072315","history_drop_reason":null,"meta_title":"Beta Distribution Applet\/Calculator","meta_descriptions":[],"attrs_boilerpipe_text":"This applet computes probabilities and percentiles for beta random variables:\n$$X \\sim Beta(\\alpha, \\beta)$$\nDirections\nEnter the shape $\\alpha$ and the shape $\\beta$.\nTo compute a left-tail probability, select $P(X \\lt x)$ from the drop-down box, \nenter a numeric $x$ value in the\nblue\nbox and press \"Enter\" or \"Tab\" on your keyboard. The probability $P(X \\lt x)$ will appear in the\npink\nbox.\nSelect $P(X \\gt x)$ from the drop-down box for a right-tail probability.\nTo determine a percentile, enter the percentile (e.g. use 0.8 for the 80th percentile) in the\npink\nbox and select $P(X \\lt x)$ from the drop-down box and press \"Tab\" or \"Enter\" on your keyboard. \nThe percentile $x$ will appear in the\nblue\nbox.\nOn the graph, the $x$ value appears in\nblue\nwhile the probability is shaded in\npink\n.\nDetails\nProbability density function\n$$f(x)=\\frac{\\Gamma(\\alpha+\\beta)}{\\Gamma(\\alpha)\\Gamma(\\beta)} x^{\\alpha-1} (1-x)^{\\beta-1}$$\nwhere $0 \\le x \\le 1$, $\\alpha > 0$, and $\\beta > 0$\n$\\mu=E(X)=\\frac{\\alpha}{\\alpha+\\beta}$\n$\\sigma^2=Var(X)=\\frac{\\alpha\\beta}{(\\alpha+\\beta)^2(\\alpha+\\beta+1)}$\n$\\sigma=SD(X)=\\sqrt{\\frac{\\alpha\\beta}{(\\alpha+\\beta)^2(\\alpha+\\beta+1)}}$","attrs_markdown":"### Beta Distribution \\$X \\\\sim Beta(\\\\alpha, \\\\beta)\\$\nHelp\n\n©2025 Matt Bognar  \n Department of Statistics and Actuarial Science  \n University of Iowa\n\nThis applet computes probabilities and percentiles for beta random variables: \\$\\$X \\\\sim Beta(\\\\alpha, \\\\beta)\\$\\$\n\n#### Directions\n- Enter the shape \\$\\\\alpha\\$ and the shape \\$\\\\beta\\$.\n- To compute a left-tail probability, select \\$P(X \\\\lt x)\\$ from the drop-down box, enter a numeric \\$x\\$ value in the blue box and press \"Enter\" or \"Tab\" on your keyboard. The probability \\$P(X \\\\lt x)\\$ will appear in the pink box. Select \\$P(X \\\\gt x)\\$ from the drop-down box for a right-tail probability.\n- To determine a percentile, enter the percentile (e.g. use 0.8 for the 80th percentile) in the pink box and select \\$P(X \\\\lt x)\\$ from the drop-down box and press \"Tab\" or \"Enter\" on your keyboard. The percentile \\$x\\$ will appear in the blue box.\n\nOn the graph, the \\$x\\$ value appears in blue while the probability is shaded in pink.\n\n#### Details\n- Probability density function \\$\\$f(x)=\\\\frac{\\\\Gamma(\\\\alpha+\\\\beta)}{\\\\Gamma(\\\\alpha)\\\\Gamma(\\\\beta)} x^{\\\\alpha-1} (1-x)^{\\\\beta-1}\\$\\$ where \\$0 \\\\le x \\\\le 1\\$, \\$\\\\alpha \\> 0\\$, and \\$\\\\beta \\> 0\\$\n- \\$\\\\mu=E(X)=\\\\frac{\\\\alpha}{\\\\alpha+\\\\beta}\\$\n- \\$\\\\sigma^2=Var(X)=\\\\frac{\\\\alpha\\\\beta}{(\\\\alpha+\\\\beta)^2(\\\\alpha+\\\\beta+1)}\\$\n- \\$\\\\sigma=SD(X)=\\\\sqrt{\\\\frac{\\\\alpha\\\\beta}{(\\\\alpha+\\\\beta)^2(\\\\alpha+\\\\beta+1)}}\\$","attrs_readable_markdown":"This applet computes probabilities and percentiles for beta random variables: \\$\\$X \\\\sim Beta(\\\\alpha, \\\\beta)\\$\\$\n\n#### Directions\n- Enter the shape \\$\\\\alpha\\$ and the shape \\$\\\\beta\\$.\n- To compute a left-tail probability, select \\$P(X \\\\lt x)\\$ from the drop-down box, enter a numeric \\$x\\$ value in the blue box and press \"Enter\" or \"Tab\" on your keyboard. The probability \\$P(X \\\\lt x)\\$ will appear in the pink box. Select \\$P(X \\\\gt x)\\$ from the drop-down box for a right-tail probability.\n- To determine a percentile, enter the percentile (e.g. use 0.8 for the 80th percentile) in the pink box and select \\$P(X \\\\lt x)\\$ from the drop-down box and press \"Tab\" or \"Enter\" on your keyboard. The percentile \\$x\\$ will appear in the blue box.\n\nOn the graph, the \\$x\\$ value appears in blue while the probability is shaded in pink.\n\n#### Details\n- Probability density function \\$\\$f(x)=\\\\frac{\\\\Gamma(\\\\alpha+\\\\beta)}{\\\\Gamma(\\\\alpha)\\\\Gamma(\\\\beta)} x^{\\\\alpha-1} (1-x)^{\\\\beta-1}\\$\\$ where \\$0 \\\\le x \\\\le 1\\$, \\$\\\\alpha \\> 0\\$, and \\$\\\\beta \\> 0\\$\n- \\$\\\\mu=E(X)=\\\\frac{\\\\alpha}{\\\\alpha+\\\\beta}\\$\n- \\$\\\\sigma^2=Var(X)=\\\\frac{\\\\alpha\\\\beta}{(\\\\alpha+\\\\beta)^2(\\\\alpha+\\\\beta+1)}\\$\n- \\$\\\\sigma=SD(X)=\\\\sqrt{\\\\frac{\\\\alpha\\\\beta}{(\\\\alpha+\\\\beta)^2(\\\\alpha+\\\\beta+1)}}\\$","meta_canonical":null,"ml_categories_json":"{\"\/Science\":891,\"\/Science\/Mathematics\":822,\"\/Science\/Mathematics\/Statistics\":809,\"\/Computers_and_Electronics\":148,\"\/Computers_and_Electronics\/Software\":137}","ml_types_json":"{\"\/Interactive_Tools\":931,\"\/Interactive_Tools\/Calculator\":915}","ml_intent_types_json":"{\"Informational\":710,\"Commercial\":205,\"Transactional\":166}","meta_language":null,"attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1529525665,"attrs_is_republished":0,"attrs_nr_words":"187","attrs_boilerpipe_nr_words":"160","body_ext_links_number":0,"body_int_links_number":0,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":125,"download_ttfb_msec":125,"download_size":2764}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📄

INDEXABLE

✅

CRAWLED

24 days ago

🚫

ROBOTS BLOCKED

Page Info Filters

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0.8 months ago
History drop	PASS	`isNull(history_drop_reason)`	No drop reason
Spam/ban	PASS	`fh_dont_index != 1 AND ml_spam_score = 0`	ml_spam_score=0
Canonical	PASS	`meta_canonical IS NULL OR = '' OR = src_unparsed`	Not set

Page Details

Property

Value

URL

https://homepage.divms.uiowa.edu/~mbognar/applets/beta.html

Last Crawled

2026-03-30 13:03:28 (24 days ago)

First Indexed

2018-06-20 20:14:25 (7 years ago)

HTTP Status Code

200

Content

Meta Title

Beta Distribution Applet/Calculator

Meta Description

null

Meta Canonical

null

Boilerpipe Text

This applet computes probabilities and percentiles for beta random variables: $$X \sim Beta(\alpha, \beta)$$ Directions Enter the shape $\alpha$ and the shape $\beta$. To compute a left-tail probability, select $P(X \lt x)$ from the drop-down box, enter a numeric $x$ value in the blue box and press "Enter" or "Tab" on your keyboard. The probability $P(X \lt x)$ will appear in the pink box. Select $P(X \gt x)$ from the drop-down box for a right-tail probability. To determine a percentile, enter the percentile (e.g. use 0.8 for the 80th percentile) in the pink box and select $P(X \lt x)$ from the drop-down box and press "Tab" or "Enter" on your keyboard. The percentile $x$ will appear in the blue box. On the graph, the $x$ value appears in blue while the probability is shaded in pink . Details Probability density function $$f(x)=\frac{\Gamma(\alpha+\beta)}{\Gamma(\alpha)\Gamma(\beta)} x^{\alpha-1} (1-x)^{\beta-1}$$ where $0 \le x \le 1$, $\alpha > 0$, and $\beta > 0$ $\mu=E(X)=\frac{\alpha}{\alpha+\beta}$ $\sigma^2=Var(X)=\frac{\alpha\beta}{(\alpha+\beta)^2(\alpha+\beta+1)}$ $\sigma=SD(X)=\sqrt{\frac{\alpha\beta}{(\alpha+\beta)^2(\alpha+\beta+1)}}$

Markdown

### Beta Distribution \$X \\sim Beta(\\alpha, \\beta)\$ Help ©2025 Matt Bognar Department of Statistics and Actuarial Science University of Iowa This applet computes probabilities and percentiles for beta random variables: \$\$X \\sim Beta(\\alpha, \\beta)\$\$ #### Directions - Enter the shape \$\\alpha\$ and the shape \$\\beta\$. - To compute a left-tail probability, select \$P(X \\lt x)\$ from the drop-down box, enter a numeric \$x\$ value in the blue box and press "Enter" or "Tab" on your keyboard. The probability \$P(X \\lt x)\$ will appear in the pink box. Select \$P(X \\gt x)\$ from the drop-down box for a right-tail probability. - To determine a percentile, enter the percentile (e.g. use 0.8 for the 80th percentile) in the pink box and select \$P(X \\lt x)\$ from the drop-down box and press "Tab" or "Enter" on your keyboard. The percentile \$x\$ will appear in the blue box. On the graph, the \$x\$ value appears in blue while the probability is shaded in pink. #### Details - Probability density function \$\$f(x)=\\frac{\\Gamma(\\alpha+\\beta)}{\\Gamma(\\alpha)\\Gamma(\\beta)} x^{\\alpha-1} (1-x)^{\\beta-1}\$\$ where \$0 \\le x \\le 1\$, \$\\alpha \> 0\$, and \$\\beta \> 0\$ - \$\\mu=E(X)=\\frac{\\alpha}{\\alpha+\\beta}\$ - \$\\sigma^2=Var(X)=\\frac{\\alpha\\beta}{(\\alpha+\\beta)^2(\\alpha+\\beta+1)}\$ - \$\\sigma=SD(X)=\\sqrt{\\frac{\\alpha\\beta}{(\\alpha+\\beta)^2(\\alpha+\\beta+1)}}\$

Readable Markdown

This applet computes probabilities and percentiles for beta random variables: \$\$X \\sim Beta(\\alpha, \\beta)\$\$ #### Directions - Enter the shape \$\\alpha\$ and the shape \$\\beta\$. - To compute a left-tail probability, select \$P(X \\lt x)\$ from the drop-down box, enter a numeric \$x\$ value in the blue box and press "Enter" or "Tab" on your keyboard. The probability \$P(X \\lt x)\$ will appear in the pink box. Select \$P(X \\gt x)\$ from the drop-down box for a right-tail probability. - To determine a percentile, enter the percentile (e.g. use 0.8 for the 80th percentile) in the pink box and select \$P(X \\lt x)\$ from the drop-down box and press "Tab" or "Enter" on your keyboard. The percentile \$x\$ will appear in the blue box. On the graph, the \$x\$ value appears in blue while the probability is shaded in pink. #### Details - Probability density function \$\$f(x)=\\frac{\\Gamma(\\alpha+\\beta)}{\\Gamma(\\alpha)\\Gamma(\\beta)} x^{\\alpha-1} (1-x)^{\\beta-1}\$\$ where \$0 \\le x \\le 1\$, \$\\alpha \> 0\$, and \$\\beta \> 0\$ - \$\\mu=E(X)=\\frac{\\alpha}{\\alpha+\\beta}\$ - \$\\sigma^2=Var(X)=\\frac{\\alpha\\beta}{(\\alpha+\\beta)^2(\\alpha+\\beta+1)}\$ - \$\\sigma=SD(X)=\\sqrt{\\frac{\\alpha\\beta}{(\\alpha+\\beta)^2(\\alpha+\\beta+1)}}\$

ML Classification

ML Categories

/Science		89.1%
/Science/Mathematics		82.2%
/Science/Mathematics/Statistics		80.9%
/Computers_and_Electronics		14.8%
/Computers_and_Electronics/Software		13.7%

Raw JSON

{
    "/Science": 891,
    "/Science/Mathematics": 822,
    "/Science/Mathematics/Statistics": 809,
    "/Computers_and_Electronics": 148,
    "/Computers_and_Electronics/Software": 137
}

ML Page Types

/Interactive_Tools		93.1%
/Interactive_Tools/Calculator		91.5%

Raw JSON

{
    "/Interactive_Tools": 931,
    "/Interactive_Tools/Calculator": 915
}

ML Intent Types

Informational		71.0%
Commercial		20.5%
Transactional		16.6%

Raw JSON

{
    "Informational": 710,
    "Commercial": 205,
    "Transactional": 166
}

Content Metadata

Language

null

Author

null

Publish Time

not set

Original Publish Time

2018-06-20 20:14:25 (7 years ago)

Republished

Word Count (Total)

187

Word Count (Content)

160

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Redirect Target

null

Performance

Download Time (ms)

125

TTFB (ms)

125

Download Size (bytes)

2,764

Shard

115 (laksa)

Root Hash

15749649359141072315

Unparsed URL

edu,uiowa!divms,homepage,/~mbognar/applets/beta.html s443