Exa alternatives, sorted by why you are leaving
Search designed to be read by a model. The reasons to leave are price per search and the shape of the index. 3 replacements below, each one matched to a specific reason rather than ranked on a score nobody can audit.
Prices and limits for every option below are read off the vendor's own page. These are the Exa competitors that answer a named problem, not a field of logos.
The 4 reasons people actually leave
If none of these is your situation, the honest answer is that you should probably stay, and the Exa API review covers what you already have. The 26 providers these replacements are drawn from are in the Signal APIs listing.
1 · Tavily is level on price per query
Exa is $4 per 1,000 searches on Lite and $7 on the default auto mode, $0.004 and $0.007 each. Tavily is one credit a query at $0.008, close enough to call level with Exa's default, and its 1,000 free credits a month are counted in queries where Exa's $10 of credits are counted in dollars.
2 · Search QPS is the real ceiling
10 searches a second on the free tier and up to 25 on pay as you go, with 50 agent concurrency. Fine for an agent and tight for a batch job that wants to research 50,000 accounts this afternoon.
3 · A neural index is a different thing from a crawler
Exa is excellent at finding pages that are semantically about something. It is not the tool for fetching one specific page you already know you need, verbatim and complete, which is a crawler's job.
4 · Contact data is a side dish
Exa does return emails and phone numbers at $0.02 and $0.07, which is useful and is not what it is for. A dedicated enrichment provider will beat it on match rate and on price per found contact.
3 replacements, and what each one fixes
Ordered by how often they turn out to be the right answer, not by price.
| Provider | Entry price | Unit cost | Free tier | Fixes |
|---|---|---|---|---|
| Exa | $4/1k searches | $0.007 per auto search | $10 of credits every month | Baseline |
| Tavily | $0.008/credit | $0.008 per credit | Free plan, 1,000 API credits a month, no card. Free for students. | Best search API for agents on a budget |
| Firecrawl | $16/mo | $0.0032 per credit | Free plan, 1,000 credits a month, no card. Keyless scrape and search too. | Best for turning sites into model input |
| TheirStack | $49/mo | $0.109 per company credit | A free trial with company and API credits, no card required | Best hiring and tech signal |
Read from each vendor's own pricing page between 8 and 19 October 2026.
The case for each one
Each one below is matched to a reason rather than scored, and each one names what you give up by taking it. A replacement with no downside is a replacement nobody has actually run.
Tavily
The closest like-for-like: web search for agents at one credit a query, with 1,000 free credits a month and an MCP server.
Tavily does the same job for a different price shape. A basic search is 1 credit and an advanced one is 2, at $0.008 a credit, against Exa's $0.007 a search. On basic queries the two are within a cent of each other; on advanced ones Tavily is roughly twice Exa's rate.
What changes the arithmetic is the free allowance. Tavily gives 1,000 API credits a month with no card, reset on the 1st rather than on your billing date, which is a genuinely useful standing budget for a low-volume agent.
It also does crawl and extract, so a pipeline that needs the page as well as the answer does not need a second vendor. Development keys run 100 requests a minute and production keys 1,000.
What you give up
Research depth and query concurrency. Exa's research endpoint tiers from $0.012 to $1.00 a request for genuinely hard questions, and Exa allows 50 agent concurrency with up to 25 search QPS on pay as you go. Tavily's research endpoint is capped at 20 a minute.
When it is the wrong answer
Agent workloads that fan out hard. If you are issuing many searches in parallel, Tavily's per-minute ceilings bind well before Exa's do, and the free credits will not change that.
Entry $0.008/credit. Free plan, 1,000 API credits a month, no card. Free for students.. Tavily is a search API built for language models rather than for people, and priced simply enough that you can model it on a napkin: one credit a basic search, two for a deep one, $0.008 a credit. Read the review · Exa vs Tavily
Firecrawl
When you need the page rather than the answer. Clean Markdown from any URL, from $16 a month with 1,000 free credits.
Exa answers questions; Firecrawl fetches documents. If your pipeline knows which URLs it wants and the job is turning them into model input, a search API is the wrong shape and you are paying search prices for a fetch.
Firecrawl is the cheapest per-unit provider in this directory at $0.0032 a credit, falling to $0.00083 at volume, with 1 credit a page scraped and 2 a search. The Hobby plan is $16 a month for 5,000 credits and Standard is $83 for 100,000.
There is a free plan at 1,000 credits a month with no card, a keyless scrape and search tier, and a hosted MCP server with a keyless option.
What you give up
Discovery and the semantic layer. Firecrawl does not find pages for you in the way Exa does, and its search is a convenience rather than the product. If the question is open-ended, this does not answer it.
When it is the wrong answer
Open-ended research. Pointing a crawler at the web and hoping is not a substitute for a search index built to be read by a model.
Entry $16/mo. Free plan, 1,000 credits a month, no card. Keyless scrape and search too.. Firecrawl takes a URL and gives you back the page as Markdown, with the navigation, the cookie banner and the JavaScript already dealt with. Read the review
TheirStack
If you were searching for hiring or tooling signals, buy the dataset rather than searching for it. Structured rows, published pricing.
A lot of Exa usage in go-to-market is one structured question asked repeatedly: who is hiring for this role, who uses this technology. Searching for that every time is both more expensive and less consistent than buying it as rows.
TheirStack sells job postings, technographics and buying intents under one key, with an eleven-step published ladder from $49 a month for 1,500 API credits up to $5,500 for 5,000,000. The per-credit rate falls from about $0.033 to $0.0011 across it.
Credits roll over for 12 months and there is a free allowance on signup with no card, so the comparison can be run before committing.
What you give up
Generality. TheirStack answers two or three questions very well and nothing else at all. Exa answers anything, which is the point of it.
When it is the wrong answer
Any workload where the question changes. The moment you need something that is not hiring, technographics or buying intent, this is not a search engine and cannot stand in for one.
Entry $49/mo. A free trial with company and API credits, no card required. Job postings are the cheapest honest intent signal in B2B, because a company hiring three SDRs has already decided to spend. Visit TheirStack · Exa vs TheirStack
What you would actually pay, on each one
Every provider on this page publishes a rate card, so the real numbers can sit next to each other rather than behind a summary. The plan you want is the one whose included volume covers a normal month for you, not the cheapest one on the page.
Exa
Exa publishes 3 tiers, one of them free, and the paid ladder runs from Pay as you go to Custom.
Starter
- $10 of credits every month, plus a $10 onboarding bonus
- Access to every endpoint
- 10 search queries per second, 50 agent concurrency
- MCP server, Claude connector and ChatGPT plugin
Developer
- The per-1,000 rates in the table above
- Up to 25 search queries per second
- 50 agent concurrency
- SOC 2 Type II, card or bank payment
Enterprise
- Custom search QPS and agent concurrency
- For large-scale requirements
Tavily
Tavily publishes 4 tiers, one of them free, and the paid ladder runs from Slider to Custom.
Free
- No credit card required
- 1,000 basic searches, or 500 advanced
- Resets on the 1st, not on your billing date
- Free outright for students
Pay as you go
- No monthly floor
- A basic search is $0.008, an advanced one $0.016
- For flexible or spiky usage
Project
- Monthly plan sized on a slider on the pricing page
- Tavily does not publish a single number, so this directory does not either
- The lowest step shown carries 4,000 credits a month
Enterprise
- Custom API call volumes
- Enterprise-grade support and SLAs
- Enterprise-grade security and privacy
Firecrawl
Firecrawl publishes 4 tiers, one of them free, and the paid ladder runs from $16 to $333.
Free
- No cost, no card
- 1,000 pages or 500 searches
- 2 concurrent browsers
- Plus the keyless endpoints, which need no account
Hobby
- 2,500 searches or 5,000 pages scraped
- 5 concurrent requests
- $0.0032 a credit
- 1,000 extra credits per $5
Standard
- 50,000 searches or 100,000 pages scraped
- 25 concurrent requests
- $0.00083 a credit, four times better than Hobby
- 2,000 extra credits per $5
Growth
- 50 concurrent requests
- Scale is $599 a month for 1,000,000 credits
- Enterprise above that
TheirStack
TheirStack publishes 11 tiers, none of them free, and the paid ladder runs from $49 to $5,500.
1,500 API credits
- 1,500 jobs, or 500 companies, or any mix
- $32.67 per 1,000 credits
- Unused credits roll over for 12 months
5,000
- $20.00 per 1,000 credits
10,000
- $16.90 per 1,000 credits
20,000
- $12.00 per 1,000 credits
50,000
- $8.00 per 1,000 credits
5,000,000
- $1.10 per 1,000 credits, the floor of the ladder
5 steps between the fifth and the last are not drawn here. The cost model below reads all 11.
Read the included volume before the headline price. A plan that costs twice as much and carries five times the credits is the cheaper plan, and on this page that is the usual case rather than the exception.
What each one costs at your volume
Exa first, then every replacement. The model picks the cheapest published plan that covers your volume on each one, which is the comparison a row of entry prices cannot make.
Exa
Publishes an entry price and no ladder above it, so the figure below is a floor rather than a forecast.
Tavily
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
Firecrawl
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
TheirStack
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
Plans are read from each vendor's own pricing page and the model picks the cheapest one that covers you, so these are list prices before any discount you negotiate and before annual billing, which most of these vendors discount. Exa publishes an entry price with no ladder above it, so the figure shown is the floor rather than your bill.
What a year costs at three volumes
The same plan-fit arithmetic as the model above, run out to a year, because an annual number is what a budget actually asks for. Every column moves with volume, because all of these meter usage rather than seats.
| A year at | Exa | Tavily | Firecrawl | TheirStack |
|---|---|---|---|---|
| 1,000 a month | $48 | $0 Free | $0 Free | $588 1,500 API credits |
| 10,000 a month | $48 | Quoted | $996 Standard | $2,028 10,000 |
| 50,000 a month | $48 | Quoted | $996 Standard | $4,800 50,000 |
4 of the 4 providers here publish enough to be put in this table. These are list prices on the published plan that covers each volume, so they are the number before you negotiate and before annual billing, which most of these vendors discount by between a fifth and a half.
Which replacement is yours
Answer what matters most and the lean appears below. Every option is read from the records on this page, and staying on Exa is one of the possible answers.
Each answer leans one way. The recommendation appears here once you have picked at least two.
A tool like this can only weigh what is on the page. It does not know your segment, and the one test that does is the bake-off further down: real rows, cheapest entry on each side, spend divided by survivors.
Where an answer leans on a certification or an integration, it means that vendor publishes it on the pages this directory read, which is not the same as the other one lacking it. The sources are listed at the foot of the page.
Where the data comes from, and what you may do with it
The question that arrives late and expensively is not how good the data is, it is who is allowed to hold it. A migration is the moment to check it, because you are signing a new contract anyway.
| Provider | Fields returned | Coverage | Compliance | Redistribution |
|---|---|---|---|---|
| Exa | Firmographics, Intent and news, Work email, Mobile phone | Global | SOC 2 Type II | Not stated |
| Tavily | Firmographics, Intent and news | Global | SOC 2 Type II | Not stated |
| Firecrawl | Firmographics, Technographics, Intent and news | Global | GDPR DPA SOC 2 Type II | Not stated |
| TheirStack | Job postings, Technographics, Firmographics, Intent and news | Global | GDPR DPA | Not stated |
None of these states a redistribution position on its pricing or docs pages. Internally that never matters. Put the rows in something your customers can see and it becomes the question your legal team asks first.
Two practical notes that apply to every provider on this page. A compliance badge describes the vendor, not your use of it, so a GDPR DPA does not give you a lawful basis for the outreach you send. And every one of these vendors runs its own opt-out, which means a person who asks you to delete their record has to be removed from your copy as well as from theirs.
Moving off Exa
Written against Tavily, the first pick above, because the steps are the same whichever one you take and the specifics are what make them useful. Swap the name and the order still holds.
Measure the thing you are about to lose
Run 500 rows you already have through Exa and record the match rate, the fields that came back populated and the cost. Without that number a migration cannot be judged, because every provider looks cheaper per unit than the one you are paying for today.
Check the fields, not the field count
Tavily does not return Work email and Mobile phone, which Exa does. If anything downstream reads work email, that is a change to your pipeline and not just to your vendor.
Rewrite the auth and the limits, in that order
Exa authenticates with bearer token, or OAuth through the MCP server. Tavily uses API key from the dashboard, as a development or a production key.
The limits are the part that bites later. Exa rate: 10 search QPS free, up to 25 on pay as you go. 50 agent concurrency on both.
Tavily rate: Search 100/min on a dev key, 1,000 on production. Crawl 100, research 20. A loop tuned to the first will either crawl or get throttled on the second.
Run both for one billing cycle
Keep the old key live and route a slice of real traffic to the new one. A month is the shortest honest test, because credit expiry, rollover and the overage rate only show up at renewal and those are where the surprises live.
Cancel on the renewal date, not before
Credits on most of these plans do not survive a downgrade. Check what happens to the balance you have already paid for, and time the switch so you are not buying the same records twice.
The step people skip is the first one, and it is the only one that cannot be done after the fact. Once the old key is off you have nothing to compare the new match rate against, so a provider that is quietly worse on your segment looks like a provider that is fine.
What practitioners say about Exa
The one part of this page that is not a vendor claim. These are people describing Exa in their own words, transcribed as written and linked to the thread, and nothing here is the only source for a figure in the tables above.
Developers who evaluate it call it infrastructure, not a search box
I've evaluated both for safety-related AI work, and Exa was much more obviously built to be infrastructure: programmatic retrieval, extraction, structured results, semantic search, throughput controls, enterprise privacy, all that boring backend stuff. Kagi was much more consumer-facing, and its API offering is newer.
r/firefox · August 2026 · 14 points
Somebody who evaluated Exa against a consumer search product for real work, and the list they reach for is the list this page is built on: retrieval you call programmatically, extraction, structured results and throughput you can control. It is the clearest outside statement of what Exa is for, which is a retrieval layer underneath something else rather than a search engine a person looks at.
The thread is about why Mozilla picked Exa and the commenter calls their own answer speculation, so the part worth keeping is the evaluation rather than the conclusion about who won it.
The unit that decides a search API is requests per job, not price per request
services like SerpAPI and Tavily are too costly to be true, and has a tight upper limit of about 5k-15k requests per month. Assuming 1 request per session, it would mean we only can use the web search tool for about 15k times in a month. That simply isn't enough for an agentic system which might need to make several calls to do a single job.
r/LLMDevs · May 2025 · 4 points
A plan sized on sessions is sized on the wrong unit, because an agent makes several calls to answer one question. That is the argument for reading the research endpoint tiers on this page alongside the per-search rate: one question answered thoroughly can cost a hundred times what one search does, and the bill is set by the loop rather than by the rate card.
The monthly ceilings quoted here are this commenter's reading of two other vendors in 2025 and not anything this site verified. Take the shape of the complaint; the limits above are Exa's own, read from its rate card on 8 October 2026.
14 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
What practitioners say about Tavily
Transcribed as written and linked to the thread. A Reddit claim is a signal rather than a fact, so nothing here is the only source for any figure on this page.
A dedicated search API beats a model's built-in web tool on content and reach
I wouldn't go with GPT 5 + web unless you don't mind about cost / quality / flexibility and just care about having 1 single tool. GPT 5 is more expensive, they don't return search results + context alone, plus you have access to less content because OpenAI is often blocked by robots.txt I feel smaller providers like Tavily or Linkup give you more flexibility and better results.
r/aiagents · September 2025 · 2 points
The case for buying search separately rather than using whatever your model ships with, from somebody who tried both. The three things they name are the three this page is about: what a call costs, whether the page content comes back alongside the results, and how much of the web the provider is allowed to read at all. A model vendor blocked by robots.txt on a domain you need is not a problem you can prompt your way out of.
They go on to prefer Linkup, which this directory does not carry, so read it as a case for the category rather than for Tavily specifically. Their closing point is worth keeping either way: a narrow search API does what you asked, which is a liability with a vague query and the entire point with a precise one.
14 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
What practitioners say about Firecrawl
Transcribed as written and linked to the thread. A Reddit claim is a signal rather than a fact, so nothing here is the only source for any figure on this page.
A credit is a page until you turn on the features you came for
The credit inflation thing is crazy. From "1 credit = 1 page" to burning 5-9 per page the second you enable anything actually useful is not an accident, that's a deliberate design choice if you ask me. [...] Product is good, no question. Just know what you're getting into before you start building on it
r/ProxyEngineering · May 2026 · 3 points
The mechanism is confirmed by Firecrawl's own documentation, which states that operations cost different amounts of credits and names JSON extraction and Interact as the dear ones, so heavier usage reaches the credit cap sooner. That is the thing to model before sizing a plan: the rate card above quotes 1 credit a page, and the page you actually want is usually not a basic scrape.
The 5 to 9 multiplier is this commenter's own and nothing here verifies it, and the rest of their comment is about GitHub stars and the self-hosting license rather than about the API. Take the shape of the warning, read the operations table against your own pipeline, and treat the baseline rate as the cheap case rather than the typical one.
14 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
What practitioners say about TheirStack
Transcribed as written and linked to the thread. A Reddit claim is a signal rather than a fact, so nothing here is the only source for any figure on this page.
There is no official job-postings API, which is why this category exists
Job sites don't provide public APIs, they want that ad revenue. There use to be scripts to scrape their HTML but most no longer work. You can search github to find some now mostly abandon projects.
r/cscareerquestions · May 2023 · 12 points
This is the structural reason a provider can charge for job postings at all. The boards publish no publicly usable API because the listings are their advertising inventory, so the data reaches you either through a scraper you maintain yourself or through somebody who maintains one for you. TheirStack is the second option with a rate card attached, and the rate card is what you are really comparing against your own engineering time.
It is a 2023 comment and the abandoned-project problem has not improved since, which is the part to weigh. The question for your own build is not whether you can scrape a board this week but whether you want to own that maintenance the next time the markup changes.
14 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
Should you actually switch?
Exa and Tavily are genuinely close, both built for agents, both with an MCP server, both around three quarters of a cent a query. Test them on your own prompts rather than on a feature table, because the difference is the index and that only shows up on your questions. Switch to Firecrawl when you realize you were fetching known pages rather than searching, and to a dataset when you realize you were searching for the same structured fact every time. The directory does not yet carry the SERP-style providers, so if you need ranked Google results rather than model-ready answers, this shortlist does not cover that case.
These providers do not index the same web, so a feature table will not tell you which one suits your questions. Take a hundred of the queries you actually run, send them through one free tier and one trial, and compare the answers you could use without editing them. That is the only coverage number that means anything to you.
Head to head, and in a stack
Exa vs TheirStack
CompareLive web research against structured hiring and technology signal.
Compare them →Exa vs Tavily
CompareTwo search APIs built for agents, priced within a tenth of a cent of each other.
Compare them →Agent-driven account research
StackPoint an AI client at two MCP servers and have it write a researched account brief straight into the CRM.
See the stack →All alternatives
29Every provider in the directory that teams regularly try to replace, with the reasons and the replacements for each.
Browse the hub →Switching costs more than the rate card says. Usually.
Three times out of four the fix is a second provider behind the first and a credit ceiling in front of it, not a migration. We will tell you which case you are in before you sign anything.
Worked with 300+ companies. A senior operator runs your account.
Switching from Exa, answered
What is the best Exa alternative?
It depends on why you are leaving, which is how this page is organized rather than ranked. The replacement most teams land on is Tavily, which this directory lists as the best search API for agents on a budget, at $0.008/credit. The case for it, and what you give up, is in the section above.
Is there a free alternative to Exa?
Tavily (Free plan, 1,000 API credits a month, no card. Free for students.) and Firecrawl (Free plan, 1,000 credits a month, no card. Keyless scrape and search too.).
What is the cheapest Exa alternative?
On the entry plan, Tavily: $0.008/credit, against Exa at $4/1k searches. Entry price is not the same as cost per result, so check the unit figure on each review before deciding.
How were these alternatives chosen?
By the reason teams leave, not by a score. The page opens with the reasons teams leave and matches a replacement to each one.