
Company-intelligence API with news, hiring, technology and funding signals on 120M+ companies, delivered by API, webhooks, flat files or MCP.
PredictLeads suits RevOps, sales-tool and investment teams that want structured hiring, technology and funding signals they can pipe into a CRM or agent. It offers no contact details, and credits meter every call, so model your monthly volume first. G2 reviews are strongly positive.
Separate point-in-time datasets for news, hiring, technology and customer links that can be pulled by API, webhook, flat file or MCP from one account.
Long point-in-time history and breadth of datasets help retention, while company-level web data can be rebuilt by rivals such as TheirStack and Crunchbase.
Main trade-off
Billing per credit makes cost at scale hard to predict, and no contact data is offered.
| Plan | Monthly price | What it includes |
|---|---|---|
| Free | Free | 100 API calls a month, All datasets through the REST API, No commitment |
| Pay-as-you-go | $40/mo | $40 minimum monthly charge from the first paid tier, Per-credit price falling as volume grows, Priority support from the 5,001-call tier and 24/7 support above 10,000, Webhooks for followed companies at one credit a month each |
| Enterprise | Custom | Full flat-file access with S3, GCS or SFTP exports, Real-time webhooks on all datasets, Unlimited tracked companies, Delta exports and point-in-time data, 24/7 support and a money-back policy |
Pay-as-you-go API credits, per PredictLeads' pricing page: 100 free API calls a month, then $0.04 a credit for 101 to 5,000 calls with a $40 minimum monthly charge, $0.02 for 5,001 to 10,000 (priority support), $0.01 for 10,001 to 100,000, $0.004 for 100,001 to 500,000 and $0.002 above 500,000, with 24/7 support from the 10,001 tier up. One request costs one credit and can return up to 1,000 records; discovery endpoints bill per result, each followed company costs one credit a month, and credits do not roll over. Full flat-file and webhook access is custom-priced: it covers S3, GCS or SFTP exports, unlimited tracked companies, history from 2015, delta exports and 24/7 support, with a money-back policy for data you do not like.
PredictLeads is a company-intelligence API from 4see, Inc. that sells separate datasets on news events, job openings, technology detections, financing and customer links across its whole company universe. Data arrives through a REST API, webhooks, flat files or an MCP server, and every dataset is point-in-time. Pick it for signals, not contact data.
News Events
Sorts news from 20M+ sources into 46 event types such as funding, partnerships and product launches, with the source sentence attached.
Job Openings
Covers 3M+ companies and averages 9.8M active listings, each tagged with O*NET codes, with 300M+ historical records.
Technographics
Tracks about 250,000 technologies across 99M companies, with pricing data attached to detections where the vendor publishes it.
Key Customers
Finds customer, vendor, investor and sponsor links by recognising logos on case studies, testimonials and customer pages.
Similar Companies
Returns lookalikes for 18.5M+ companies, each with a score and a plain-language reason for the match.
Webhooks and follow lists
Follow a company and receive each new signal at your webhook URL, billed at one credit per signal with a ceiling per company each month.
Flat files
Exports every dataset to S3, GCS or SFTP as point-in-time JSON Lines, with delta exports for incremental loads.
MCP server
Lets agents query the datasets as tools, authenticating with OAuth2 or HTTP headers under documented request limits.
| Tool | Price from | Free plan | Runs on | Rating |
|---|---|---|---|---|
| $40/mo | Yes | Web | 3.9 | |
| $49/mo | Yes | Web · iOS · Android | -- | |
| $600/mo | Trial | Web | 3.9 | |
| €99/mo (about $110) | Trial | Web | 3.4 |
Proprietary
PredictLeads bills per API credit. The first 100 calls a month are free, then credits cost $0.04 each at the first paid tier, with a $40 minimum monthly charge, falling to $0.002 each at the top tier. Followed companies cost one credit a month. Full flat-file and webhook access is custom-priced through sales.
Partly. Every account gets 100 free API calls a month, enough to test coverage on a small list of companies, and credits do not roll over. Anything beyond that draws on the paid per-credit tiers, and the flat-file plan needs a conversation with sales.
Its homepage lists company profiles plus news events, job openings, technology detections, financing events, key customers, similar companies and products. The docs also list SEC filings, repositories, subpages and posts from startup platforms. All datasets are point-in-time and sourced from company websites, news and career pages.
PredictLeads runs an MCP server, and its docs describe OAuth2 or HTTP-header authentication and request limits for it. The integrations page also lists Claude and ChatGPT entries, plus n8n, Make and Clay for no-code flows.
Crunchbase leads with funding research, an AI agent called Scout and a separate API. TheirStack sells one-time company-credit packs focused on hiring and technology data. PredictLeads spans news, jobs, technologies and customer links in one per-credit account, with no contact data.
PredictLeads, sold by 4see, Inc., is a company-intelligence data provider: structured signals on more than 120 million companies, taken from company websites, news sources and career pages and delivered through a REST API, webhooks, flat files and an MCP server. Its homepage says teams have trusted it since 2015, and its flat-file plan offers history from 2015. The site gives no founding year, investor list or headcount, so none is stated here.
The datasets are separate products. News Events come from 20M+ blogs, PR sites and news outlets and are sorted into 46 event types. Job Openings cover 3M+ companies, with 300M+ historical records tagged with O*NET codes and salary where present. Technologies lists about 250,000 tracked tools and about 2 billion detections, collected from script tags, DNS records, IP ranges, cookies and job descriptions. Key Customers map customers, vendors, investors and sponsors by recognising logos on websites, Similar Companies covers 18.5M+ companies with a stated reason for each match, and Financing Events are extracted from the news data. The docs add Products, SEC filings, GitHub repositories, website subpages and startup-platform posts. Per the homepage, news and jobs history starts in 2016, technologies in 2018 and key customers in 2019.
Billing is per request: one credit buys one API call returning up to 1,000 records. Delivery options are the REST API, webhooks for followed companies, flat files to S3, GCS or SFTP, and an MCP server that the docs say authenticates with OAuth2 or HTTP headers. The integrations page lists n8n, Make, Clay, Pipedream, Postman, Apify, Cargo and V7 Labs, plus Claude and ChatGPT entries for the MCP route, and the homepage carries testimonials from Amplemarket and from a co-founder of Autobound. On 12 November 2026 G2 showed 4.9 out of 5 from 45 reviews.
It fits RevOps and data teams that enrich a CRM or warehouse on a schedule, builders of sales tools that score accounts on hiring and funding triggers (see the Best AI SDR Tools guide), and investors who track funding rounds. The security page states a SOC 2 Type II certification and describes encrypted transit and hardened servers, but names no audit date or auditor. For the wider shelf see AI SDR and sales data tools.
Who should look elsewhere: teams that need person-level contact details or an outreach tool, because no contact data appears in its dataset list, and buyers who want one flat monthly price, because billing is per credit with a minimum monthly charge above the free tier. Crunchbase is the nearer pick for funding research, with a Crunchbase API and an AI Scout that suggests companies likely to raise, per its homepage. TheirStack, whose pricing page sells one-time company-credit packs from $109 for 1,000, is the closest hiring-data rival without a Hokai record yet.
Product facts on this page (pricing, plans, integrations, compliance) are read from PredictLeads's own pages and documentation. The verdict is Hokai's reading of them, not the vendor's claim.