How do I monitor the news without paying for the same story twice?

one wire story, billed once instead of forty times search news for in the last 30 days with context.dev on monid, give me ten articles with the date, source and url, and keep the story_id on each one the set: ten real articles across CNBC, Bloomberg, Seeking Alpha, the Economic Times, a Japanese wire and an Argentine daily the key: every row carries a story_id, so the syndicated copies of one story can be grouped before you read them the spread: the same ten articles cost $0.0009 here and $0.0600 on the most expensive endpoint in the aisle two schema traps: the price list calls the field headline and the wire sends title; and the rival's schema says a bare company name is not accepted, which is false, it returns the same ten as the uuid

Cloro APIs — Monid

Q: Do AI answers cite my brand?

and why there is no single share-of-answers number ask google ai mode with litescrape on monid and give me the answer plus every source it cites, in order. check its health flag first and budget three attempts on a 503, not one: on our second run it took two failures before a 200 what came back: the generated answer plus ten cited references, in the order the answer used them the price: $0.00015 against $0.01 for the same surface, which is 66x the catch: it was flagged degraded on both runs and 503'd on both; once a single retry cleared it and once it took three attempts, so one retry is not a budget a 503 still reads as COMPLETED: the run record shows a completed status with the 503 inside it, so a script filtering on status ingests the failure silently; read the provider's own status code the answer varies: answers are generated per request, so two calls the same day differ

What Google's AI answer says

Say this to your agent

>ask google ai mode <question> with litescrape on monid and give me the answer plus every source it cites, in order. check its health flag first and budget three attempts on a 503, not one: on our second run it took two failures before a 200

What the agent runsdone

litescrape /google/ai-mode$0.000150 markup

litescrape /google/ai-overview · not run$0.000150 markup

mrscraper /google/ai-mode$0.010 markup

cloro /google/ai-mode · not run$0.008 / 10 results0 markup

mrscraper /gpt/web-search · not run$0.0250 markup

What came backfour buyer questions · 2026-09-24

Same question, same surfaceprice per answer

litescrape$0.00015

cloro$0.008

mrscraper$0.01

what came backthe generated answer plus ten cited references, in the order the answer used them

the price$0.00015 against $0.01 for the same surface, which is 66x

the catchit was flagged degraded on both runs and 503'd on both; once a single retry cleared it and once it took three attempts, so one retry is not a budget

a 503 still reads as COMPLETEDthe run record shows a completed status with the 503 inside it, so a script filtering on status ingests the failure silently; read the provider's own status code

the answer variesanswers are generated per request, so two calls the same day differ

$0.00015per question

What ChatGPT says, and what it links

Say this to your agent

>ask chatgpt <question> with cloro on monid, passing a country: it is required on every engine this provider fronts and none of these sentences used to supply it. give me the cited sources as domains, in order

What the agent runsdone

cloro /chatgpt/ask$0.008 / 10 results0 markup

cloro /copilot/ask · not run$0.008 / 10 results0 markup

cloro /gemini/ask · not run$0.008 / 10 results0 markup

mrscraper /gemini/ask · not run$0.010 markup

What came backfour buyer questions · 2026-09-24

the shapethree to five cited domains per answer, which is tighter than the other engines

on our own pitchasked the question this company's homepage answers, it named two smaller API marketplaces instead

the metaphoron the tool-calling question it cited the product we compare ourselves to, not us

the only engine with a brand fieldthis one returns an entities block naming the brands; the other four return free text you have to read yourself, which is why a brand-level metric cannot be built uniformly across them

the reada tight citation list means fewer slots, so being absent costs more here than on a ten-source answer

$0.0056per answer

What Perplexity says, when it answers

Say this to your agent

>ask perplexity <question> with cloro on monid, with a country set. read its health flag at run time rather than trusting this page: it was degraded and timing out on our run and stable and answering in forty seconds on the next one. if it does time out twice, record the miss rather than retrying again

What the agent runsdone

cloro /perplexity/ask$0.008 / 10 results0 markup

What came backfour buyer questions · 2026-09-24

the shapeten sources per answer, the widest citation list of the three engines

the failureone of four calls timed out twice with a 504 and billed nothing either time

the flag movesit was degraded when this page was built and stable when the page was cold-tested, answering four times out of four, so treat any health note here as a snapshot and check it yourself. The flag on the other engine did not move

what to dotreat a missing engine as missing data, not as a zero mention

$0.0048per answer

A rate, not a single answer

Say this to your agent

>put these four buyer questions to every answer engine on monid, each with a country set, and give me TWO tables: one counting answers that name my brand in the text, one counting answers whose cited sources include my domain. tell me both numbers and do not average them

What the agent runsdone

litescrape /google/ai-mode$0.000150 markup

cloro /chatgpt/ask$0.008 / 10 results0 markup

cloro /perplexity/ask$0.008 / 10 results0 markup

mrscraper /google/ai-mode$0.010 markup

What came backfour buyer questions · 2026-09-24

Cited across eleven answersshare of answers

Composio4 of 11

Firecrawl3 of 11

Apify2 of 11

Bright Data2 of 11

us0 of 11

the answereleven answers came back and cited this company in none of them

there are two shares, not oneon a second category the same twenty answers gave a brand named in the text on twenty of twenty and the domain in the sources on three of twenty; both are defensible and they are not the same measurement

and they invert the rankinga rival named in one answer of twenty held the highest domain-citation share, above the brand that was named in all twenty, so choosing the other metric tells the opposite story

why four questionsone answer is a draw; four questions across three engines is a rate you can track

what it costunder nine cents to find out you are invisible in your own category

the engines are not standing in the same placeone provider pins the query to a country and the other sends no location at all, so the engines in your table are not asking from the same country unless you set it everywhere

the one blankone AI Mode answer named no vendor at all, so nobody could have been cited on it

$0.0770four questions, three engines

Who got cited instead

Say this to your agent

>from those answers, rank the brands twice: once by how many answers name them in the text, once by how many cite their domain. show me both columns side by side and tell me where the two orders disagree

What the agent runsdone

cloro /chatgpt/ask$0.008 / 10 results0 markup

cloro /perplexity/ask$0.008 / 10 results0 markup

What came backfour buyer questions · 2026-09-24

the leaderone competitor appeared in more than a third of the answers without ever being asked about by name

the closest callon the question nearest our own pitch, two much smaller marketplaces were named and we were not

per enginethe leaders differ by engine, so a single-engine check would have given the wrong picture

the two columns disagreeon a second category the brand named most often and the brand cited most often were different brands, so a single-column ranking is a choice you have to declare

and the sources may not match the answerone engine's cited domains had no overlap at all with the brands its own answer recommended, so counting citations is not counting recommendations

no extra callthis is counting, not calling: the answers were already paid for

$0.00already in the answers

How often AI answers cite a domain

Say this to your agent

>get the ai responses count for <domain> with ahrefs on monid. it is $0.36 a call, so confirm with me before you run it

What the agent runsdone

ahrefs /site-explorer/ai-responses-count · not run$0.0774 / result0 markup

What it returnsshape of the answer

what it isa count of how often AI answers referenced a domain, as one aggregate number

the price$0.36, which is more than this whole four-question sweep cost

when it earns itfor tracking one number over months, not for finding out who gets cited today

it was run, and it disagreeson a second domain it reported a zero for one engine that another engine cites over thirteen thousand times, so a zero here is missing coverage rather than absence. Also worth knowing: the sweep above answered the question for eight cents, so this one stayed in the catalog

$0.36per domain · catalog rate

Cloro

How-to guides

Set up Monid.

Pick what you need. Say it in one sentence.

What Google's AI answer says

What ChatGPT says, and what it links

What Perplexity says, when it answers

A rate, not a single answer

Who got cited instead

How often AI answers cite a domain

Read more

Claude for SEO and GEO

Bing Search API retired: the alternatives

Extract page content for RAG

Set up Monid.

Pick what you need. Say it in one sentence.

Everything written about a company

Watch a topic, not a company

Sentiment and a summary on every headline

How much of a page is one story

A thousand articles, not ten

When the language field is wrong

Read more

Bing Search API retired: the alternatives

When the site will not let you in

Cheapest source first, then fall through