Coresignal vs PredictLeads
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
Editorial assessmentCoresignal compared with PredictLeads
PredictLeads bundles job openings, technographics, funding, and news into one source-linked API with a free tier of 100 calls a month. Coresignal goes deeper on employee and company records and offers warehouse-native bulk delivery, but carries no technographics. PredictLeads is the better single API for signal variety; Coresignal is the better foundation when depth of people and company data is what you are missing.
Choose Coresignal if
Technical go-to-market operators building their own account scoring or job-change alerting, recruiting and HR tech builders, investment analysts screening private companies at scale, and anyone already running Clay who wants a cheaper, deeper source behind their enrichment waterfalls.
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.
Side by side
13 attributes| Attribute | Coresignal | PredictLeads |
|---|---|---|
| Category | Signals | Signals |
| Starting price | $49 per month (Mini, 2,500 credits) (7 days trial) | $0 for the first 100 API calls per month, then a $40 monthly minimum (free plan available) |
| Pricing model | Credit-based API subscriptions billed monthly or annually, with credits consumed per record retrieved; bulk datasets are quoted separately by contract length and scope. | 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 plan | No | Up to 100 free API calls per month, self-serve, with no card required to start building against the API. |
| Free trial | 7 days with 2,000 credits | A free tier rather than a time-limited trial, available at sign-up |
| Best for | Technical go-to-market operators building their own account scoring or job-change alerting, recruiting and HR tech builders, investment analysts screening private companies at scale, and anyone already running Clay who wants a cheaper, deeper source behind their enrichment waterfalls. | 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. |
| Setup time | A day for a working API integration if you have an engineer, and about an hour if you are consuming it through Clay or the self-service dashboard. The trial credits are enough to validate coverage on your specific segment before you commit. | 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. |
| Learning curve | Moderate to steep depending on your route in. The Elasticsearch DSL filtering is powerful and not immediately obvious, and understanding the credit model well enough to avoid a surprise bill takes a careful read of the documentation. | 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. |
| Platforms | REST APIs for companies, employees, and jobs, Agentic Search API, MCP server, Self-service dashboard, Flat files in CSV, JSONL, and Parquet | REST API, Real-time webhooks, Flat files via AWS S3, Google Cloud Storage, and SFTP, MCP endpoint for AI agents |
| Compliance | GDPR aligned, CCPA aligned, Certified by the Ethical Web Data Collection Initiative | Data is sourced from public company web pages, news, and filings rather than personal data brokers, European operating base subject to GDPR |
| Founded | 2016 | 2015 |
| Headquarters | Vilnius, Lithuania | Ljubljana, Slovenia |
| Ownership | Privately held | Venture-backed, lightly funded |
Strengths and limitations
Coresignal
Strengths
- Genuine scale across three datasets with history back to 2016, which makes change detection possible rather than just snapshots.
- Job posting records at 1 credit each are the cheapest hiring signal in this category by a wide margin.
- Developer surfaces are unusually complete: Elasticsearch DSL filtering, webhooks, an Agentic Search API, and an MCP server, all included on the $49 plan rather than gated to enterprise.
- Delivery options span the full range from an API call to Parquet files landing in Snowflake, so the same vendor works for a two-person team and a data platform.
Limitations
- This is infrastructure, not a product. There is no scoring, no routing, no sequencing, and no CRM integration, so a go-to-market team needs either engineering support or Clay sitting on top.
- Credit costs differ by an order of magnitude between datasets, and the pricing page's headline credit counts make plans look far more generous than they are for people data.
- No website technographics or storefront data at all, so it complements rather than replaces the crawler-based tools in this category.
- Employee profile freshness depends on people updating their own public profiles, which means a job change can be weeks or months old before it becomes detectable, and some never surface.
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.
Pricing compared
Coresignal
Credit-based API subscriptions billed monthly or annually, with credits consumed per record retrieved; bulk datasets are quoted separately by contract length and scope.
- Free trial$0
- Mini$49
- Starter$199
- Pro$499
- Growth and above$1,000
Model it at two volumes. A small team on Mini at $49 pulling 2,500 job postings a month is paying about 2 cents a posting for hiring signal, which is excellent; the same $49 spent on employee profiles buys around 150 people, or roughly 33 cents each, which is expensive against a general contact database. That asymmetry is the whole story. At Pro, $499 for 35,000 credits gets you around 2,000 enriched people or 35,000 job postings a month at 1.4 cents a credit. Coresignal is outstanding value for hiring and company data and merely competitive for people data, and the right way to buy it is to be very deliberate about which dataset you are actually consuming.
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.
Editorial verdict on each
Coresignal
Coresignal is the best-documented raw data source a small technical team can buy in this category, and it is priced so that job posting and hiring signal work is genuinely cheap while people data is merely fair. The developer surfaces are the giveaway about who it is for: Elasticsearch queries, webhooks, an MCP server, and Parquet files in your warehouse are not features aimed at a sales rep. Buy it if you are building something, whether that is a job-change alerting job, an account growth score, or a product with a talent graph underneath it. Buy it through Clay if you want the depth without the pipeline. Do not buy it expecting a tool that tells you who to call today, and do not size a plan on headline credit counts without checking that an employee record costs twenty times what a job posting does.
Read the full Coresignal profilePredictLeads
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 profileCoresignal profile last reviewed 2026-08-22; PredictLeads last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.