Enrich company data
$0.0027/requestEnrich a company by domain — 80+ datapoints
Enrich a company from its domain — 80+ datapoints: industry, size, revenue, socials
Company enrichment API for AI agents
Scrollport gives AI agents 7 tools to enrich company data, from The Companies API, Hunter, Tomba, Findymail, Apollo and 1 more, through one connection. Prices run from $0.0027/request to $0.1400/request, paid per use from one prepaid wallet with no subscription, provider accounts or API keys. Agents use them over MCP, the CLI or the HTTP API.
Which tool suits which need
- Enrich a company by domain — 80+ datapoints (The Companies API, $0.0027/request, lowest price): Enrich a company from its domain — 80+ datapoints: industry, size, revenue, socials.
- Enrich the company behind an email address (The Companies API, $0.0027/request): Identify and enrich the company behind an email address.
- Enrich a company by domain — headcount, revenue, tech (Hunter, $0.0067/request): Enrich a company from its domain — industry, headcount, revenue, location, tech stack.
- Detect a website's tech stack by domain (Tomba, $0.0125/request): Website domain → the detected tech stack: each technology's name, vendor site, description and category (CMS, analytics, payments…).
Updated
Enrich company records with Scrollport
Use verified tools with pay-per-use pricing. Provider access is included. Tools that work in your own apps ask you to connect that account.
Connect your first agent to receive $1 trial credit.
Compare Company enrichment API tools
The lowest listed price is Enrich a company by domain — 80+ datapoints from The Companies API at $0.0027/request. Compare what each tool returns before choosing.
| Tool | Provider | What it returns | Price |
|---|---|---|---|
| Enrich a company by domain — 80+ datapoints | The Companies API | Enrich a company from its domain — 80+ datapoints: industry, size, revenue, socials | $0.0027/request |
| Enrich the company behind an email address | The Companies API | Identify and enrich the company behind an email address | $0.0027/request |
| Enrich a company by domain — headcount, revenue, tech | Hunter | Enrich a company from its domain — industry, headcount, revenue, location, tech stack | $0.0067/request |
| Detect a website's tech stack by domain | Tomba | Website domain → the detected tech stack: each technology's name, vendor site, description and category (CMS, analytics, payments…) | $0.0125/request |
| Detect a company's tech stack by domain | Findymail | The technologies detected on a company's domain, each with category and a last-detected timestamp | $0.0278/request |
| Company Enrichment | Apollo | Enrich one company domain with business and profile information. | $0.0364/request |
| Company Enrichment | akta.pro | Enrich a company domain with organisation, industry, location and profile data. | $0.1400/request |
7 available tools
Enrich company data
$0.0027/requestEnrich the company behind an email address
Identify and enrich the company behind an email address
Enrich company data
$0.0067/requestEnrich a company by domain — headcount, revenue, tech
Enrich a company from its domain — industry, headcount, revenue, location, tech stack
Enrich company data
$0.0125/requestDetect a website's tech stack by domain
Website domain → the detected tech stack: each technology's name, vendor site, description and category (CMS, analytics, payments…)
Enrich company data
$0.0278/requestDetect a company's tech stack by domain
The technologies detected on a company's domain, each with category and a last-detected timestamp
Enrich company data
$0.0364/requestCompany Enrichment
Enrich one company domain with business and profile information.
Enrich company data
$0.1400/requestCompany Enrichment
Enrich a company domain with organisation, industry, location and profile data.
Questions about Company enrichment API
What is the best company enrichment API for an AI agent?
It depends on what you need back and how much you will run it. Enrich a company by domain — 80+ datapoints (The Companies API, $0.0027/request): Enrich a company from its domain — 80+ datapoints: industry, size, revenue, socials. Enrich the company behind an email address (The Companies API, $0.0027/request): Identify and enrich the company behind an email address. Enrich a company by domain — headcount, revenue, tech (Hunter, $0.0067/request): Enrich a company from its domain — industry, headcount, revenue, location, tech stack. Your agent can inspect the closest match and see its exact price before it runs.
How much do company enrichment API tools cost?
Prices run from $0.0027/request to $0.1400/request. You pay per use from one prepaid wallet with no subscription. Your agent sees the exact price before each run, and connecting your first agent adds $1 of trial credit.
Learn more about company enrichment
Company enrichment is most useful when the missing information will change a real decision. Give your agent a stable company identity and say which gaps matter for qualification or research.
Start from a stable identity
Provide the official domain or another unambiguous company identifier. If the name could refer to several businesses, ask the agent to confirm the matching website and location before enriching the record.
Which company facts are useful for qualification?
Prioritise evidence that can change the decision, such as industry, location, headcount, funding or current company context. Ask only for facts tied to the qualification brief, and keep source and freshness context beside material claims.
Tell the agent how the result will be used
A qualification brief, market map and account review need different evidence. State the decision criteria so the agent can highlight missing or conflicting information instead of filling a record with low-value fields.
Example prompt
This example focuses enrichment on an explicit account decision.
Example prompt to give your agent
Use Scrollport to enrich [COMPANY NAME OR DOMAIN] for [QUALIFICATION OR RESEARCH PURPOSE]. Confirm the company identity first. Find the available information for [FIELDS THAT MATTER], retain source and freshness context, and mark anything missing or conflicting rather than guessing. Summarise whether the evidence supports [DECISION CRITERIA] and show me the price before the paid run.