Ahrefs vs KWFinder: Pull Ahrefs Link Data Without a Seat
Comparing Ahrefs and KWFinder? Get the Ahrefs link half, Domain Rating, backlinks and referring domains, by the call, plus a keyword check.
Get a domain's Ahrefs link profile without buying a seat. Paste this into your agent:
Set up https://monid.ai/SKILL.md, and then use Monid to get the Domain Rating, live and all-time backlinks and the three highest-rated referring domains for monid.ai, and tell me what share of its links is still live.
One prompt pulls a link profile. 1 min setup · 10-20 hrs saved.
You are comparing Ahrefs and KWFinder and the real question under the comparison is the link data: who links to you, who links to your competitor, and how good those links are. This guide shows how to get that data from Ahrefs by the call instead of through a seat, what the records look like when we ran them on 2026-10-16, and where the numbers mislead. A keyword check is included for the other half of the decision. It runs through Monid, the OpenRouter for agent tools: one key, one balance, every tool priced per call.
What is the easiest way to get Ahrefs link data without paying for a seat?
Monid. Install it once, add a key, and your agent calls the Ahrefs link endpoints as it needs them, with no suite subscription and no portal to log in to.
- Pay per call. Each call bills only the rows it returns: a Domain Rating lookup is $0.00129 and a backlink totals lookup is $0.00774 (Verified 2026-10-16). Buy calls as you need them: no monthly plan and no minimum top-up. Discovery and inspection are free, and an empty result is not billed.
- One install, every tool. The same key and balance call Ahrefs and every other provider on Monid, so the SEO data sits next to search, scraping and enrichment instead of in a separate account.
- Lives inside your agent. Your agent reads
SKILL.md, learns discover, inspect and run, and calls the endpoints on demand. Nothing runs in the background, so setup is about a minute.
Browse the endpoints on the SEO tools page.
What is the real difference between Ahrefs and KWFinder?
One is a crawler-backed suite whose link index is a core product, the other is a keyword research tool, and the difference matters most when you need to know who links where. Monid does not carry KWFinder, so nothing in this guide scores it; what follows describes categories and uses only Ahrefs data we ran ourselves.
What most people compare
Keyword lists, difficulty scores and ease of use. Those are the parts that overlap, so the comparison searches (the autosuggest for "ahrefs vs kwfinder" and "kwfinder" is full of pricing, free, review and alternative queries) are mostly about what a seat costs and whether a cheaper one is enough.
What decides it for link work
Whether a link index sits behind the tool. A link index comes from running a web crawler continuously and storing what it finds, which is why Domain Rating, referring domains and anchor text are products of the crawler, not of a clever interface. If your job includes link building, competitor link gaps or authority checks, you are buying access to an index, not a keyword list.
Where the seat stops mattering
A seat is a person's login. A pipeline, a weekly report or an agent has no use for a login: it needs the same numbers as JSON, on a schedule, for a list of domains. That is the half the next sections cover. Software suites often quote by the seat, which suits one analyst exploring and fits a programmatic job badly.
How do you pull Ahrefs link data by the call?
Three calls in a fixed order: authority, counts, anchors.
For agents
Grab an API key at app.monid.ai, then paste this to your agent and hand it the key:
set up https://monid.ai/SKILL.md
It learns the whole discover, inspect, run workflow itself. More in the agent quickstart.
For humans
npm install -g @monid-ai/cli
monid keys add -k <your-api-key> -l main
Step 1. The one number people quote
monid run -p ahrefs -e /site-explorer/domain-rating \
--query '{"target": "monid.ai", "date": "2026-09-15"}'
Returns domain_rating and ahrefs_rank. The date is the report date in YYYY-MM-DD form and the endpoint requires it, so set it to today for current values. On 2026-10-16 our domain returned a Domain Rating of 55 and a rank of 467,500.
Step 2. The counts that matter more
monid run -p ahrefs -e /site-explorer/backlinks-stats \
--query '{"target": "monid.ai", "date": "2026-09-15"}'
Four integers: live backlinks, all-time backlinks, live referring domains, all-time referring domains. It also needs the date. On 2026-10-16 ours were 4,063, 6,229, 814 and 932.
Step 3. What the links say
monid run -p ahrefs -e /site-explorer/anchors \
--query '{"target": "monid.ai", "limit": 20}'
No date here: the anchors input lists target, mode, protocol, limit, where and order_by and nothing else. It returns one row per distinct anchor with the number of referring domains and links behind it. limit is your cost budget, because billing is per returned row.
Give this to your agent
Set up https://monid.ai/SKILL.md, and then use Monid to pull domain rating, backlink stats and the top referring domains for our domain and three competitors, then tell me each site's live-to-all-time ratio for both links and referring domains.Can you build your own link data instead?
Not in any practical way, because the data is the crawl. A link index is a record of what a crawler found across a large part of the web, kept over time, and you cannot reconstruct it by checking your own pages or by running a scraper against a handful of sites. A script can tell you what is on a page you fetch. It cannot tell you which of the pages you never fetched point at yours.
What people do in practice is one of three things: read the numbers from a suite in its interface, export them from a seat by hand, or call an endpoint that returns the same fields as JSON. The first two are fine for a one-off look. The third is the one that survives a schedule, because a person does not have to click anything.
Scraping a vendor's own screens is a different job again, and the rules about it differ by vendor and by country, so read the terms that apply to you before you build anything. The by-the-call route returns typed JSON, so there is no HTML to parse and no screen to keep up with.
📖 See also Ahrefs API for Domain Rating and Backlinks
What does the link data look like, and what can you build with it?
Three kinds of record: a score, a set of counts, and rows of referring domains. We ran them against our own domain on 2026-10-16, so the fields below are what came back.
The score and the counts
{ "domain_rating": 55, "ahrefs_rank": 467500 }
{ "live": 4063, "all_time": 6229, "live_refdomains": 814, "all_time_refdomains": 932 }
Each is a single row, billed as one. At the prices above (Verified 2026-10-16), a sweep of 100 domains through both costs $0.903.
The referring domains
The refdomains endpoint returns one row per linking domain. We asked for the three with the highest Domain Rating:
{ "domain": "youtube.com", "domain_rating": 99, "links_to_target": 4, "dofollow_links": 0, "first_seen": "2026-09-09T09:38:50Z", "last_seen": null }
{ "domain": "github.com", "domain_rating": 97, "links_to_target": 59, "dofollow_links": 0, "first_seen": "2026-06-09T03:27:04Z", "last_seen": null }
{ "domain": "github.io", "domain_rating": 94, "links_to_target": 1, "dofollow_links": 1, "first_seen": "2026-09-20T21:49:07Z", "last_seen": null }
It takes limit (the cost budget), order_by, and a where filter on domain, domain_rating, links_to_target, dofollow_links, first_seen and last_seen.
What you can build with it
- A link-decay monitor. Call the counts weekly, store the four integers, and alert when the live share falls. What a backlink API returns lists the fields worth keeping from each call.
- An outreach vetting list. Pull referring domains for a competitor ordered by
domain_rating, filter todofollow_linksabove zero, and send the list to whoever does outreach. - A competitor comparison. Run Domain Rating and the counts for your site and three rivals in one prompt and compare the live-to-all-time ratios, not the headline numbers.
What goes wrong when you read link and keyword numbers?
Four things, and each one changes a report. The first three come from today's runs on our domain.
Why do all-time counts flatter you?
Because they only go up. Our domain has 6,229 backlinks ever seen and 4,063 live, so 65.2% of the links Ahrefs ever recorded are still there. For referring domains it is 814 of 932, or 87.3%. Links decayed faster than domains did, which is the signature of losing many pages at the same sources rather than losing sources.
Track the live figure and the ratio, not the all-time count. Four integers per site per week is enough, and the pair shows what one number hides.
Why is a high Domain Rating not a good link?
Because a rating describes the sender, not the link. Our three highest-rated referring domains were rated 99, 97 and 94. Two of them sent zero dofollow links and the third sent one. YouTube sent 4 links and GitHub sent 59, so the number of links tells you nothing about the rating either way.
Filter on dofollow_links and read links_to_target next to domain_rating before you call a profile strong.
Why can the date matter on one endpoint and not another?
Because the endpoints do not share a rule. Domain Rating and the backlink counts require date, and the anchors input has no date at all. Write the parameter logic per endpoint, not per provider, or an agent reusing one call for the next will fail on the first mismatch. Also note that last_seen came back null on all three refdomains rows, so you cannot use it as a recency signal on those rows.
Why is the keyword half so much more expensive per call?
Because it bills per keyword, and the unit price is higher. One keyword through the keyword overview endpoint cost $0.02709 on 2026-10-16 (Verified 2026-10-16), so a full batch of 100 is about $2.71, against $0.00903 for a Domain Rating plus counts on one domain. For ahrefs vs kwfinder it returned volume 500, difficulty 0 and traffic potential 200, with the intents informational, commercial and branded, and a null cost per click. Check a shortlist, not a long list.
Which endpoint should I use for which job?
| Endpoint | What it does | Input | Returns | Billing |
|---|---|---|---|---|
ahrefs/site-explorer/domain-rating | Link authority score | target, date | domain_rating, ahrefs_rank | Per returned row |
ahrefs/site-explorer/backlinks-stats | Live and all-time totals | target, date, mode, protocol | Four integers | Per returned row |
ahrefs/site-explorer/refdomains | Domains linking to a target | target, limit, where, order_by | Domain, rating, link counts, dates | Per returned row |
ahrefs/site-explorer/anchors | Anchor text breakdown | target, limit, where, order_by, no date | Anchor, referring domains, links, dates | Per returned row |
ahrefs/keywords-explorer/overview | Volume, difficulty, intent | country, keywords up to 100 | One row per keyword | Per returned keyword |
The first three, and the keyword overview, were run on 2026-10-16. The anchors endpoint was inspected on the same day and not run. Prices per row: refdomains $0.00387, anchors $0.005805 (Verified 2026-10-16); the current list is on monid.ai/tools.
When is another route a better fit?
Exploration is the job. Wandering a topic, following a term into a cluster, saving a search and returning to it are things an interface does well. A call answers a question you can already phrase; a seat is where you work out what to ask.
A person needs to investigate links. Clicking from a referring domain into a competitor's profile is investigative work. Per-call data serves monitoring and reports, not browsing.
Your volume is small and your needs are broad. If you pull a few reports a month from many angles, a seat with a generous export allowance can fit better than assembling calls. Work out the crossover from your own domain and keyword counts, using the unit prices above.
You need the whole raw link graph. The endpoints return what the index computed per target and per page of results, capped at 100 rows a call. A bulk export from a suite is built for deep pulls.
And the disclosure: you are on the Monid blog, and Monid sells these Ahrefs endpoints. Monid does not carry KWFinder.
Conclusion
If the Ahrefs-versus-KWFinder comparison is really about link data, the quickest way to get it is three calls through Monid: $0.00129 for Domain Rating and $0.00774 for the link counts (Verified 2026-10-16), one key for Ahrefs and everything else, about a minute of setup, and no seat to buy first.
Two things matter more than the tool you choose. Read the live count next to the all-time count, because ours were 4,063 against 6,229 and only the pair tells you what is left. And read link counts next to Domain Rating, because two of our three top-rated linking domains sent no dofollow links at all.
How we estimated the time saved: a one-off link audit across a competitor list, plus a recurring live-versus-all-time check set up and checked each month, is roughly two jobs at 5 to 10 hours each by hand through a seat, 10 to 20 hours in total. The 1 minute is the install, key and first call once you already have a Monid key.
Free next step: run monid inspect -p ahrefs -e /site-explorer/backlinks-stats, then make one call for your own domain and divide live by all-time. Start at monid.ai.
FAQ
Is KWFinder enough on its own?
For keyword research and content planning, often yes, because that is what a keyword tool is for. The question to ask is whether link data is part of your job. If you publish into a competitive space and need to know who links to the pages beating you, that is a link index question, and you can add it per call without changing your keyword tool.
Can you check keywords without a seat?
Yes. One call to the keyword overview endpoint returns volume, difficulty, traffic potential, intents and cost per click for up to 100 keywords, billed per returned keyword. On 2026-10-16 a single keyword cost $0.02709 (Verified 2026-10-16). What a seat still gives you is exploration, deciding what belongs on the list in the first place.
Why do two tools give different Domain Rating or volume for the same site?
Because each is computed from its own crawl and its own method, so the numbers are not interchangeable. Pick one source for a metric and compare it to itself over time. Ahrefs put "ahrefs vs kwfinder" at a volume of 500 a month on 2026-10-16; read that as Ahrefs's figure, not a universal one.
How should you read anchor text on a young domain?
As a description of who has noticed you, not of what you are about. Early profiles are mostly page titles and navigation labels from directories and aggregators. Look at the number of distinct referring domains behind each anchor: many domains sharing one templated anchor is one syndication network, not many endorsements. Sort by refdomains descending with order_by so the default ordering does not decide what you see first.
Published September 2026.
