Last updated: 2026-08-14
PredictLeads has logged more than 1.4 billion technology detections across 86 million companies, alongside funding, hiring, and news-event signals pulled from over 20 million sources. Data ships through a REST API, flat files, webhooks, or an MCP server, so AI agents and CRM pipelines can query the same structured company intelligence a research analyst would compile by hand.
About PredictLeads
PredictLeads is a company-intelligence API built by a Ljubljana, Slovenia-based team, founded in 2018 and backed through Y Combinator's Summer 2019 batch. It structures the same signals a research analyst would compile by hand, funding events, hiring activity, technology adoption, news events, and supply-chain connections, into a queryable dataset covering 120M+ companies worldwide, so sales, RevOps, and investment teams stop manually tracking company changes across scattered sources. Every signal is pre-categorized and de-duplicated before it reaches a customer. News events are sorted into distinct event types (launches, funding, partnerships, expansions) rather than delivered as raw article text, and technology detections carry pricing data where available rather than just a bare product name. Data reaches customers through a REST API with pagination, scheduled flat file exports, webhooks for real-time streaming, or a Model Context Protocol (MCP) server that exposes each dataset as a directly callable tool for AI agents. PredictLeads fits sales development reps building account lists from hiring and funding triggers, RevOps and data engineering teams enriching a CRM or warehouse on a schedule, and investment analysts or VCs watching a portfolio or watchlist for funding-round timing. Customers named on the company's site include Clay, Copy.ai, Instantly, Common Room, Surfe, Firmable, and Dealroom. The MCP server extends the same datasets to AI SDR and agent-building teams that want live company context inside an agent workflow rather than a static export. Pricing runs entirely on a pay-per-credit model rather than named subscription tiers: every account gets a free monthly credit allotment, and paid usage scales down in price per credit as volume grows. Flat file and webhook access above the metered API tiers is custom-priced through direct sales contact. The platform is delivered entirely through its API, dashboard, and documentation site, with no desktop or mobile app. PredictLeads reached SOC 2 Type II certification in February 2026, audited by Johanson Group LLP, which it uses as a security credential when selling into enterprise RevOps and data teams that require an attestation before signing a data processing agreement.
Pricing
Pay-per-credit API pricing: a free monthly credit allotment covers light testing, then paid credits run $0.04 each for 101 to 5,000 calls (with a $40/month minimum charge), $0.02 each for 5,001 to 10,000, $0.01 each for 10,001 to 100,000, $0.004 each for 100,001 to 500,000, and $0.002 each above 500,000. Flat file and webhook delivery beyond the API tiers is custom-priced; contact sales.
Key Features
- News Event Signals: Detects categorized event types including funding rounds, partnerships, and product launches, sourced from more than 20 million news outlets, PR sites, and blogs.
- Job Openings and Hiring Signals: Tracks active job postings across 2.7 million companies, averaging 9.8 million live listings at a time from a historical archive of 270 million job records, including ONET codes and salary data.
- Technographic Data: Logs 1.4 billion+ technology detections spanning 86 million companies and 54,000 tracked technologies, with pricing data attached where available.
- Key Customer and Supply Chain Signals: Identifies customer relationships through logo recognition on vendor websites, mapping supply-chain connections between companies without manual research.
- Similar Companies: Matches lookalike companies across an 18.5 million company dataset, useful for building comparable target account lists from a single seed company.
- MCP Server for AI Agents: Exposes every dataset, news, jobs, technologies, connections, and financing, as a directly callable MCP tool, so an agent can pull one company-intelligence type without custom API wrapping.
- Multi-format Delivery: Ships the same datasets through REST API, flat files, or webhooks, so teams can choose real-time streaming or scheduled batch loads depending on volume and refresh needs.
Pros
- Draws on a 270 million-record job-posting archive, giving hiring signals more historical depth than most point-in-time scraping tools.
- SOC 2 Type II certified as of February 2026, and G2 reviewers rate it 4.8 out of 5 across 37 reviews for data reliability and support responsiveness.
- Hiring-signal coverage spans 2.7 million companies with an average of 9.8 million live job listings tracked at any time, useful for timing outreach beyond a single snapshot.
- Lookalike matching draws on an 18.5 million-company pool, useful for expanding a target account list beyond manually researched competitors.
Cons
- Pricing is entirely usage-based per credit with no flat unlimited subscription, and G2 reviewers describe the metered model as expensive once usage climbs into the higher tiers.
- No named subscription plans are published beyond the pay-as-you-go credit tiers; flat file and webhook access above the API requires contacting sales for custom pricing.
- Technographic and hiring signals depend on public-web freshness, and reviewers note detection can lag when a company changes its tech stack or hiring pace quietly.
Frequently Asked Questions
How much does PredictLeads cost in 2026?
PredictLeads uses a pay-per-credit model: a monthly allotment of free credits covers light testing, then paid credits scale from $0.04 each up to 5,000 calls down to $0.002 each above 500,000 calls, with a $40 monthly minimum on the entry paid tier. Flat file and webhook delivery above the API tiers requires contacting sales for custom pricing.
Is PredictLeads free to use?
PredictLeads includes 100 free API credits every month, enough to test data quality on a small watchlist of companies before committing to a paid tier. There is no unlimited free plan; every additional call beyond that allotment draws from the metered credit tiers.
What are the best alternatives to PredictLeads?
ZoomInfo fits teams that want a large searchable contact database bundled with intent data rather than a dedicated event-signals API. Coresignal fits teams building their own scoring models on raw firmographic and technographic data instead of a managed dataset. Signalbase is the closest signals-specific comparison, built around lower detection latency and per-event source attribution rather than PredictLeads' broader historical archive.
How does PredictLeads compare to Signalbase in 2026?
Both are event-signal APIs with MCP servers, but PredictLeads leans on dataset breadth, more than a hundred million companies and well over a billion technology detections, while Signalbase leans on speed, surfacing new events within roughly a minute of first public appearance. Choose PredictLeads for historical depth and technographics; choose Signalbase when latency on brand-new events matters most.
How do you get started with PredictLeads?
Sign up at predictleads.com to activate the account and its free monthly credit allotment automatically. From there, call the REST API directly, schedule flat file exports, subscribe to webhooks for real-time updates, or connect an agent through the PredictLeads MCP server.
Top Alternatives
- Signalbase: Pick Signalbase if you need sub-minute detection latency; pick PredictLeads if you need deeper historical and technographic data.
- Apollo.io: Pick Apollo.io if you need a bundled contact database and outreach tool; pick PredictLeads if you need a dedicated event-signals and technographics API.
- Clay: Pick Clay if you want no-code waterfall enrichment across many providers; pick PredictLeads if you want one deep technographic and hiring-signal dataset.