PredictLeads vs Wappalyzer
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Both sides assessedPredictLeads compared with Wappalyzer
Both track technology installs, and PredictLeads covers more of them, over 54,000 technologies alongside seven other datasets, delivered through an API from $40 a month. Wappalyzer is a usable product rather than an endpoint, with a browser extension, a lead list builder, stack change alerts, and CRM connectors that a non-engineer can drive. Pick Wappalyzer if technographics are the whole motion and nobody on the team writes code; pick PredictLeads if you want several signal types from one API.
Wappalyzer compared with PredictLeads
PredictLeads also tracks technology detections, across more than 54,000 technologies, and bundles them with job openings, news, funding, and firmographics through a pay as you go API from $40 a month. Wappalyzer goes narrower and deeper on the technology question, with a browser extension, lead lists, alerts, and CRM connectors that a non-engineer can actually use. Take PredictLeads if you are building your own engine and want several datasets from one API; take Wappalyzer if technographics are the whole motion and you want a product rather than an endpoint.
Choose PredictLeads if
Technical go-to-market teams and developers building their own signal engine, Clay users who want dated source-linked signals inside their tables, and product teams embedding company intelligence into their own application, all of whom want data rather than another dashboard.
Choose Wappalyzer if
Companies whose product displaces or complements a specific, detectable technology, agencies and consultancies prospecting by platform, and competitive analysts who need to know which stacks their market runs on and when those stacks change.
Side by side
13 attributes| Attribute | PredictLeads | Wappalyzer |
|---|---|---|
| Category | Signals | Signals |
| Starting price | $0 for the first 100 API calls per month, then a $40 monthly minimum (free plan available) | $0 (Free), then $250 per month (Pro) (free plan available) |
| Pricing model | Self-serve pay as you go metered by API call, with volume-tiered per-credit rates and a monthly minimum, plus a quoted Enterprise flat-file plan. | Self-serve tiered subscription metered by lookups, email verifications, and API credits, with seat counts and technology targets as additional per-tier limits. |
| Free plan | Up to 100 free API calls per month, self-serve, with no card required to start building against the API. | Free includes 50 lookups and email verifications per month, 5 website alerts, and free sample lead lists. |
| Free trial | A free tier rather than a time-limited trial, available at sign-up | No time-limited trial; the free tier serves as the evaluation path |
| Best for | Technical go-to-market teams and developers building their own signal engine, Clay users who want dated source-linked signals inside their tables, and product teams embedding company intelligence into their own application, all of whom want data rather than another dashboard. | Companies whose product displaces or complements a specific, detectable technology, agencies and consultancies prospecting by platform, and competitive analysts who need to know which stacks their market runs on and when those stacks change. |
| Setup time | An hour to a first API response, since the free tier requires no card and the endpoints are conventional REST. Getting to a production motion where signals create tasks is a genuine engineering project of one to three weeks, or an afternoon if you are consuming it inside Clay. | Minutes. Install the browser extension, sign up for the free tier, and set five website alerts on the accounts you care about. Building a filtered lead list and connecting a CRM takes an afternoon. |
| Learning curve | Low for a developer and high for everyone else. The API is straightforward and the documentation covers the datasets clearly, but the hard part is not technical: deciding which combinations of signals actually mean something for your business is judgement work that the product deliberately leaves to you. | Very low. The core question, what is this site running, is self-explanatory, and the lead list filters behave like any list builder. The judgement work is deciding which technology signals genuinely correlate with your deals rather than which ones are interesting. |
| Platforms | REST API, Real-time webhooks, Flat files via AWS S3, Google Cloud Storage, and SFTP, MCP endpoint for AI agents | Web application, Chrome, Firefox, Edge, and Safari extensions, Google Workspace add-on for Gmail, API, Bulk data delivery |
| Compliance | Data is sourced from public company web pages, news, and filings rather than personal data brokers, European operating base subject to GDPR | Detection reads publicly available website fingerprints rather than personal data, Contact data handling is subject to standard GDPR obligations |
| Founded | 2015 | 2008 |
| Headquarters | Ljubljana, Slovenia | Not publicly disclosed; the company operates as a small distributed team |
| Ownership | Venture-backed, lightly funded | Privately held with no publicly disclosed venture funding |
Strengths and limitations
PredictLeads
Strengths
- Every record carries a primary source URL, which is the single most useful quality property in signal data and something most vendors cannot offer.
- Published crawl cadences rather than vague freshness claims: news as often as every eight minutes, job data at least every 36 hours, company sites daily on average.
- Coverage genuinely at scale, including 120 million companies, 270 million historical job records since 2016, and 1.4 billion technology detections.
- Data is crawled first-party rather than licensed from brokers, so errors are fixable at source and the provenance chain is short.
Limitations
- There is no application. No dashboard, no alerts, no inbox, and nothing that tells a salesperson what to do this morning without you building it.
- Company-level only. Nothing about individual people, so champion job changes and person-level intent are outside the product entirely.
- No first-party signals at all: PredictLeads cannot see your website traffic, your product usage, or your email engagement.
- No scoring or prioritisation. Deciding that a funding round plus five engineering hires means an account is in market is logic you write and maintain.
Wappalyzer
Strengths
- The cleanest signal type in this category, read directly from public fingerprints rather than inferred, so a detection is close to a fact rather than a probability.
- Coverage of more than 8,000 technologies across 106 categories, which is the reference dataset for this question and has been for well over a decade.
- A permanently free tier with five website alerts and fifty lookups a month, enough to monitor key accounts and validate the thesis at no cost.
- Website Alerts turn a static dataset into a timing signal, and migrations detected early are among the strongest buying triggers that exist.
Limitations
- One signal type only. If your buyer's readiness is not expressed through a technology install, Wappalyzer has nothing to say about them.
- Pro's limit of two technology targets and one seat makes the entry tier awkward, pushing most real teams to $450 whether they need the volume or not.
- Detection sees what is publicly loadable, so server-side implementations, tag manager indirection, and privately hosted tools can be missed entirely.
- A technology being present says nothing about satisfaction, contract timing, or budget, so the false positive here is subtler than a wrong detection: it is a correct detection with no buying intent behind it.
Pricing compared
PredictLeads
Self-serve pay as you go metered by API call, with volume-tiered per-credit rates and a monthly minimum, plus a quoted Enterprise flat-file plan.
- Free$0
- Pay as you go, 101 to 5,000 calls$40 minimum plus $0.04 per credit
- Pay as you go, 5,001 to 100,000 calls$0.02 falling to $0.01 per credit
- Pay as you go, above 100,000 calls$0.004 falling to $0.002 per credit
- EnterpriseCustom
For a team that can write code or drive a Clay table, PredictLeads is the cheapest credible signal data on the market by a wide margin. A hundred free calls a month to prototype, a $40 floor to go live, and per-call rates that fall to fractions of a cent at scale, against a category where packaged platforms start at thousands of dollars a month for signals they source from providers like this one. The value collapses entirely if you cannot build: there is no interface, no alerting, and no scoring, so a non-technical buyer will spend $40 and get nothing. Judged as a data purchase rather than a software purchase, the coverage numbers, the published crawl cadences, and the source URL on every record make this unusually good value.
Wappalyzer
Self-serve tiered subscription metered by lookups, email verifications, and API credits, with seat counts and technology targets as additional per-tier limits.
- Free$0
- Pro$250
- Business$450
- Enterprise$850 or more
Wappalyzer is priced as a data product rather than a cheap tool, and whether that is good value depends almost entirely on whether technology installs are your buying trigger. If they are, the signal is close to unambiguous and worth paying for, and Business at $450 with unlimited technology targets and five seats is the tier that actually fits a small sales team. If technographics are merely interesting to you, $250 a month for one seat and two technology targets is poor value next to broader signal tools at half the price. The free tier is the honest test: five website alerts and fifty lookups a month cost nothing, and a fortnight of using them will tell you whether stack changes correlate with your deals.
Editorial verdict on each
PredictLeads
PredictLeads is what you buy when you have decided to build the signal engine yourself. The coverage is real, the crawl cadences are published rather than implied, and the primary source URL on every record is a quality property almost nobody else in this category offers. Pricing starts free, floors at $40 a month, and falls to fractions of a cent per call, which makes it dramatically cheaper than any packaged platform running on comparable data. The catch is unambiguous and you should not talk yourself past it: there is no dashboard, no alert, and no scoring, so the value only exists if you or your Clay table can turn API responses into something a person acts on. Technical go-to-market teams should treat this as a default component of their stack. Everyone else should buy a tool with an interface and let it worry about where the data came from.
Read the full PredictLeads profileWappalyzer
Wappalyzer owns the cleanest signal in this category. A technology detection is read from the site itself rather than inferred from behaviour, so it is close to a fact, and after eighteen years the dataset covering 8,122 technologies is the reference for that question. Whether you should pay for it comes down to one thing: does a technology appearing or disappearing on a prospect's site actually predict a deal for you. Start with the free tier, put website alerts on your five most important accounts, and find out at no cost. If the answer is yes, go straight to Business at $450, because Pro's two technology targets and single seat will frustrate any real team. If the answer is no, buy a broader signal tool instead, because Wappalyzer will not tell you anything about accounts whose readiness is expressed in any other way, and it will not score, route, or act on the signal once it has found it.
Read the full Wappalyzer profilePredictLeads profile last reviewed 2026-08-22; Wappalyzer last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.