--- title: "Mantiks review: what it does, what it costs, and where the data stops" description: "Mantiks watches job postings and turns them into sales leads: alerts when a company starts hiring for the roles you care about, plus the decision-maker's email, phone and LinkedIn." canonical: https://jobspipe.dev/blog/mantiks-review date_published: 2026-08-20 date_modified: 2026-08-20 author: Dvir Atias --- > **Facts:** Free: 1,000 free credits, one time. Paid: from $49/month for 25,000 jobs. 12 months of history on every plan. Jobs from 30+ sources. Try it without a key: `curl -d '{"limit":3}' https://api.jobspipe.dev/v1/sandbox/jobs/search` # Mantiks review: what it does, what it costs, and where the data stops Mantiks watches job postings and turns them into sales leads: alerts when a company starts hiring for the roles you care about, plus the decision-maker's email, phone and LinkedIn. Here is what the platform actually includes, the real rate card - 99 and 190 euros a month on 12-month commitments, credits metered per contact and per company - and the four-board scraping APIs it sells on RapidAPI. And where it stops: LinkedIn, Indeed, Glassdoor and Welcome to the Jungle only, no ATS-direct feeds, results aggregated by company. If what you need is the postings themselves, a raw jobs API is a different and much cheaper shape. Mantiks sells a simple idea: a job posting is a buying signal. A company hiring three SDRs needs sales tooling, a company hiring its first data engineer needs a data stack, and whoever posted the role knows exactly which budget it comes from. The Mantiks pitch - “track opportunities from job postings” - is to watch the boards for you, flag the companies that just started hiring for the roles you care about, and hand you the decision-maker’s email, phone and LinkedIn so you can act on the signal before a competitor does. That puts Mantiks in the same family as the [hiring-signals tools](https://jobspipe.dev/hiring-signals-api) built on job-postings data, but with a distinct centre of gravity: the contact layer. This review covers what the platform actually includes, the rate card as advertised in August 2026, the developer APIs it sells, and the point where a prospecting tool stops being the right shape and a raw jobs API takes over. ## What Mantiks sells The platform is built for outbound teams - sales, recruiting agencies, consultancies - and the features map onto that audience directly: - **Opportunity detection.** Saved searches over new job postings with unlimited alerts, so a company matching your criteria surfaces the day it starts hiring. - **Contact identification.** For each opportunity, Mantiks names the likely decision-makers and reveals email, phone and LinkedIn profile. Reveals are metered in credits; previewing jobs and contacts is unlimited. - **CV matching.** The recruiter-side trick: import a candidate’s CV and get back the list of companies currently recruiting similar profiles. - **Agency unmasking.** A feature that tries to reveal the end client behind a recruitment agency’s anonymised posting. - **Delivery.** AI monitoring with custom instructions, plus feeds into a CRM or ATS through native integrations, an API and webhooks on the higher tier. Coverage runs through four job boards: LinkedIn, Indeed, Glassdoor and Welcome to the Jungle, with data refreshed every 24 hours and, per the API marketing, several years of recruitment history behind it. The company claims more than 1,000 customers. ## The pricing Prices are public and quoted in euros, and the advertised monthly prices carry a 12-month commitment: | Plan | Price and credits | What unlocks | | --- | --- | --- | | Starter | €99/mo for 500 credits, 12-month commitment | Company, job and contact search, alerts | | Growth | €190/mo for 1,000 credits | Team exports, reports and workflows | Two line items deserve attention before you sign. First, the commitment: the advertised monthly prices are annual-contract prices, so the real decision is a year of fees, not a month-to-month experiment (a 3-month Discovery term is available before the annual commitment). Extra seats cost €34 a month on Starter and €68 on Growth. Second, the meter: on the platform, credits burn on contact reveals; on the API, Mantiks charges one credit per _company_ found, regardless of how many postings that company has. That metering is genuinely favourable if you want accounts, and irrelevant if you want postings, and it tells you the intended buyer is a sales team, not a lone developer. ## The developer surface: two different APIs Mantiks has a real API, and it is shaped like the product. The main endpoint, `GET api.mantiks.io/company/search`, takes a boolean query over job titles and descriptions plus company filters - and returns results _aggregated by company_. A second endpoint, `GET api.mantiks.io/company/jobs`, tracks the recruitment activity of companies you name and attaches the hiring-manager contacts. Twenty-plus fields per job, refreshed every 24 hours. The unit of retrieval is the account, because the product is prospecting. Separately, Mantiks publishes per-board scraping APIs on RapidAPI - one each for LinkedIn, Indeed, Glassdoor and Welcome to the Jungle - each with its own small free tier. These return board-shaped data: each API mirrors its board’s own fields, so a [Glassdoor record](https://jobspipe.dev/sources/glassdoor) and a LinkedIn record arrive in different schemas, and stitching four boards into one deduplicated view of the market is your problem. That is the classic per-board scraper trade-off, and it is the main reason unified jobs APIs exist. ## Where Mantiks stops None of this is a criticism of what Mantiks is - it is a well-aimed prospecting tool. But three boundaries matter if you are evaluating it as a _data_ source: - **Four boards is not the market.** There is no ATS-direct coverage - no Workday, Greenhouse, Lever, Ashby, Workable or SmartRecruiters feeds - so postings that never hit the four boards never enter the dataset, and board postings arrive on the boards’ own delay. - **The shape is accounts, not postings.** Aggregation by company is exactly right for lead lists and exactly wrong for job-level work: salary analysis, skills demand, feeding a job board, training a matching model. - **The meter is built for reveals.** 500 credits a month prices a steady outbound motion. It does not price pulling tens of thousands of postings for analysis - that workload exhausts any per-company or per-contact meter by design. ## If the signal is enough, and the data is the point The honest way to decide: if your team’s bottleneck is _who to call this week_, Mantiks earns its fee - the contact layer is the product, and building reliable email and phone reveal yourself is a bad use of an engineering quarter. If your bottleneck is the underlying data, the economics invert. A raw jobs API meters postings, not reveals. JobsPipe’s index holds millions of live postings from hundreds of thousands of distinct companies ([current count](https://jobspipe.dev/jobs-api#corpus)), collected from the boards _and_ the ATS layer - LinkedIn, Indeed, Workday, Greenhouse, Lever, Ashby, Workable, SmartRecruiters and more - deduplicated into one schema. The same hiring-need query a Mantiks saved search runs looks like this: ``` curl https://api.jobspipe.dev/v1/jobs/search \ -H "Authorization: Bearer jp_live_your_key_here" \ -H "Content-Type: application/json" \ -d '{ "skills_or": ["snowflake", "dbt"], "job_country_code_or": ["US"], "posted_at_max_age_days": 7, "limit": 25 }' ``` Every result carries the posting itself - normalized `title`, `company`, `location`, parsed `compensation`, `occupation_code` and `skills` - so the same call powers prospecting, analytics or a product feature. For the standing-alert use case, [Signals](https://jobspipe.dev/blog/introducing-signals) watches a search server-side and tells you when a company starts hiring, which is the Mantiks trigger without the per-contact meter. And if you are pricing this against other data vendors, the [Coresignal rate card](https://jobspipe.dev/blog/coresignal-pricing) makes a useful third point of comparison: per-record credits again, just metered on records instead of reveals. The free tier is 1,000 jobs to start on a wider source base, with no annual commitment. Run the same search both ways during a Mantiks evaluation and you will know within an hour which shape your use case actually needs. ## Frequently Asked Questions ### How much does Mantiks cost? Prices are public and in euros. Starter is €99 a month with 500 credits at the 12-month-commitment price, and Growth is €190 a month with 1,000 credits, so the real decision is a year of fees; a 3-month Discovery term is available before the annual commitment. Extra seats cost €34 a month on Starter and €68 on Growth. ### Which job boards does Mantiks cover? Four: LinkedIn, Indeed, Glassdoor and Welcome to the Jungle, refreshed every 24 hours, with several years of recruitment history behind them according to the API marketing. There is no ATS-direct coverage, so postings that only ever appear on Workday, Greenhouse, Lever, Ashby, Workable or SmartRecruiters never enter the dataset, and board postings arrive on the boards' own delay. ### How does the Mantiks API charge credits? On the platform, credits burn on contact reveals, while previewing jobs and contacts is unlimited. On the API, Mantiks charges one credit per company found regardless of how many postings that company has, because the company/search endpoint returns results aggregated by company. That metering is favourable if you want accounts and irrelevant if you want postings. The separate per-board scraping APIs on RapidAPI each have their own small free tier. Related ## Keep reading - [Reference · Aug 8, 2026BLS API: how to pull US labor statistics, and where the survey data stops](https://jobspipe.dev/blog/bls-api) - [Comparison · Sep 30, 2026Coresignal vs TheirStack (and JobsPipe): job data compared](https://jobspipe.dev/blog/coresignal-vs-theirstack) - [Comparison · Sep 4, 2026Textkernel review: the parser credits, the Jobfeed API, and what changed under Bullhorn](https://jobspipe.dev/blog/textkernel-review) - [Comparison · Aug 31, 2026TalentNeuron review: what it sells, what the API meters, and who it is built for](https://jobspipe.dev/blog/talentneuron-review) - [Comparison · Aug 26, 2026JobsPikr review: what it sells, how credits work, and what the pricing page leaves out](https://jobspipe.dev/blog/jobspikr-review) --- Try it with no key: `curl -d '{"limit":3}' https://api.jobspipe.dev/v1/sandbox/jobs/search`. AI agents: the full machine-readable index of this site is https://jobspipe.dev/llms.txt?src=md-twin - API quickstart, MCP server, pricing. Free key (1,000 jobs to start): https://jobspipe.dev/signup