PredictLeads vs Trigify
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 Trigify
Trigify listens to public social and community activity and delivers person-level signals into Slack and your CRM for $40 a month flat. PredictLeads crawls company websites, news, and filings for company-level facts and delivers them through an API for $40 a month plus usage. The signal types barely overlap: Trigify tells you a person is talking, PredictLeads tells you a company is doing something. A technical team frequently runs both.
Trigify compared with PredictLeads
PredictLeads sells raw, source-linked datasets through an API: job openings, technographics, funding events, and news, priced from a free 100 calls a month with pay as you go beyond that. Trigify sells a workflow: listen, enrich, filter, route. Take PredictLeads if you are building your own signal engine and want dated records that trace back to a primary source; take Trigify if you want signals delivered into Slack and your CRM without engineering time.
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 Trigify if
Founder-led and small sales teams selling into markets where buyers are visibly active on LinkedIn, X, or Reddit, agencies running signal-based outbound for several clients at once, and technical GTM operators who want signals available through an API or MCP rather than trapped in a vendor dashboard.
Side by side
13 attributes| Attribute | PredictLeads | Trigify |
|---|---|---|
| Category | Signals | Signals |
| Starting price | $0 for the first 100 API calls per month, then a $40 monthly minimum (free plan available) | $40 per month (Starter) (14 days trial) |
| 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 credit-based subscription with per-plan caps on listening searches, workflows, and seats, plus published per-credit overage. |
| Free plan | Up to 100 free API calls per month, self-serve, with no card required to start building against the API. | No |
| Free trial | A free tier rather than a time-limited trial, available at sign-up | 14 days on all self-serve plans |
| 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. | Founder-led and small sales teams selling into markets where buyers are visibly active on LinkedIn, X, or Reddit, agencies running signal-based outbound for several clients at once, and technical GTM operators who want signals available through an API or MCP rather than trapped in a vendor dashboard. |
| 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. | An afternoon. Create an account, define one listening search against a competitor's post or a topic, connect Slack, and run a historical backfill. Getting a workflow with sensible ICP filters into production is more like a week of iteration. |
| 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. | Moderate, and the difficulty is judgement rather than software. Building searches is easy; deciding which engagement actually indicates intent, and resisting the urge to sequence everyone the tool finds, is the skill that determines whether the tool works. |
| Platforms | REST API, Real-time webhooks, Flat files via AWS S3, Google Cloud Storage, and SFTP, MCP endpoint for AI agents | Web application, REST API, Command line interface, MCP server, Chrome-based workflows via integrations |
| Compliance | Data is sourced from public company web pages, news, and filings rather than personal data brokers, European operating base subject to GDPR | GDPR obligations apply to enriched personal data, No publicly advertised SOC 2 attestation |
| Founded | 2015 | 2023 |
| Headquarters | Ljubljana, Slovenia | Cardiff, United Kingdom |
| Ownership | Venture-backed, lightly funded | Venture-backed |
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.
Trigify
Strengths
- Person-level social and community signals with a name attached, which is a fundamentally warmer starting point than an anonymous account-level intent score.
- A $40 entry price in a category where the established players start at thousands of dollars a month, which is the difference between a startup running a signal motion and not running one.
- Historical replay and backtesting let you start with a year of accumulated signals rather than waiting for new activity, so time to first value is days rather than a quarter.
- The API, CLI, and MCP server are unusual at this price and make Trigify usable as a data source inside a custom stack rather than only as an app.
Limitations
- The signal is only as good as your market's public behaviour, and entire industries are effectively invisible to it.
- A like or comment is a weak intent signal on its own, and the volume Trigify can produce makes it easy to build a high-volume, low-relevance outbound motion if you skip the filtering work.
- Public social platforms change their access rules regularly, which is a structural risk for any vendor whose core dataset is scraped from them.
- No website visitor identification, no product usage ingestion, and no third-party intent feed, so it covers one slice of the signal landscape rather than the whole picture.
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.
Trigify
Self-serve credit-based subscription with per-plan caps on listening searches, workflows, and seats, plus published per-credit overage.
- Starter$40
- Max$199
- EnterpriseCustom
Trigify is the cheapest credible way to run a signal-based motion, and the gap is not small. Starter at $40 a month buys person-level social signals, job change detection, enrichment, and workflow routing in a category where the recognised leaders start at $2,500 a month and $40,000 a year. Max at $199 with 40,000 credits and full API, CLI, and MCP access is arguably underpriced for what a technical team can build on top of it. The value case breaks only if your buyers are not publicly active, in which case no amount of cheap listening produces anything worth acting on. Judged against tools that own the same signal type, this is the best capability per dollar available to a small business.
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 profileTrigify
Trigify is the entry point to signal-based selling for companies that cannot spend $40,000 a year to find out whether signal-based selling works for them. It owns one signal type properly, public person-level social and community activity plus the job change and hiring events that surface there, and it delivers those signals all the way into a CRM, a Slack channel, or an AI agent rather than stopping at a dashboard. Buy it if your buyers post in public and you have the discipline to filter aggressively before you enrich. Do not buy it if your market is quiet online, if your best signal is on your own website or inside your product, or if you need a vendor that will pass an enterprise security review. At $40 a month with a 14-day trial, the cost of finding out is close to nothing, which is exactly the right shape for a small business testing a new motion.
Read the full Trigify profilePredictLeads profile last reviewed 2026-08-22; Trigify last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.