Best People Data API: How to Choose Without Fake Rankings

The best people data API is the one that returns the most correct, current and lawfully usable contacts for your own target accounts at a cost you can predict. No provider wins everywhere, so judge candidates on coverage in your regions, billing clarity, data-handling rules and fit with your stack, not on headline database sizes.

Why “best” depends on who you sell to

A provider with a vast global database may still be thin in the industry or country you care about. A lean provider may be excellent in a narrow slice and absent elsewhere. Database size claims, such as the “210M+ contacts (claimed)” that BusinessMCP’s comparison attributes to Apollo, versus the roughly 1.9M people and 34M companies it lists for itself, tell you scale but not relevance. What matters is the overlap between a provider’s store and your account list.

That is why the first step is not a shortlist but a sample: 50 to 100 accounts you know well. Our provider checklist walks through the procedure.

Criteria that separate providers

Criterion	Why it matters	What good looks like
Regional coverage	Determines how many of your accounts return anything	Stated plainly, including exclusions
Email status labels	Lets you segment by risk	Distinct statuses, with unverified guesses labelled
Billing on misses	Drives true cost	Charged only when a result is found, or clearly documented
Response documentation	Speeds integration	Public schema and examples
Opt-out handling	Legal and trust risk	Fast removal and a public opt-out path
Permitted-use terms	Prevents misuse	Prohibits credit, employment, insurance and housing decisions
Interface	Fits your stack	REST for code, MCP for agents
Phone data	Needed for calling teams	Offered, or clearly absent

Key takeaway: a provider that tells you what it cannot do, and prices accordingly, is easier to trust than one that promises global coverage with no exclusions.

The options, described fairly

The following descriptions rely on the public comparison material cited in each line. Confirm current details on each vendor’s own site.

• BusinessMCP People Data API. Three endpoints (search at $0.08 per item, email finder at $0.04, enrichment at $0.10), charged only when found, prepaid from $10, REST and MCP. It excludes people in the EU, EEA, UK and Switzerland and certain US states, has no phone data, and describes its own store as smaller than the largest vendors’. Details are on its People Data API page.
• ZoomInfo. Described by BusinessMCP’s comparison as the broadest contact source, with per-credit access of about $0.38 each at the $1,000 spend tier.
• Apollo. Bills enrichment against seat credits (one for an email, eight for a phone number), with seats from $49 to $119 per user per month on annual billing, per the same comparison.
• Hunter. Finds and verifies emails; one credit per found email and half a credit per verification, and its verifier does the SMTP check others skip.
• Coresignal. Charges 10 to 20 credits per company or employee record, per the comparison.
• People Data Labs and similar developer-focused vendors. Frequently searched alternatives; see our People Data Labs alternative guide.

The comparison page behind several of these figures is BusinessMCP’s company data API comparison; it says prices were checked in late September and early October 2026 and cites a source for each. It is a vendor’s own comparison, so read it as one input, not as a neutral benchmark.

Match the provider to the job

You are building an AI agent. Look for MCP availability, per-call pricing and clear error behaviour. The page states that BusinessMCP’s REST and MCP tools share names, inputs and prices. Our notes on people data over MCP explain the setup.

You are a sales team that calls. Phone data matters. BusinessMCP has none, so a seat-based tool may serve you better.

You sell into Europe. A provider that excludes EU, EEA, UK and Swiss people cannot help. Look elsewhere and take legal advice; see people data and GDPR.

You need account data only. You may not need people records. BusinessMCP’s company data API returns industry, size, location and LinkedIn for a domain at $0.02 per found call.

You are a small team with irregular needs. A prepaid per-call API with no subscription avoids paying for idle seats.

Red flags in vendor claims

• “Accurate to 99 percent” with no description of how it was measured.
• Global person-level coverage with no mention of regional privacy rules.
• No stated billing rule for misses.
• No opt-out mechanism, or one that takes weeks.
• Verified email claims with no explanation of the method, given that mail servers often cannot confirm mailboxes.
• Terms that allow any use at all, including eligibility decisions.

A fair test in four steps

1. Build a 100-account sample across your regions and sizes.
2. Run the same task through each candidate: search, find, enrich.
3. Score found, correct and current, then compute cost per usable contact, as shown in the pricing article.
4. Add compliance and integration effort to the score, and choose.

If two providers tie, prefer the one with the clearer exclusions. Surprises cost more than a few tenths of a cent per call.

What a vendor’s own comparison can and cannot tell you

Vendors publish comparisons because buyers ask for them, and some are useful. BusinessMCP, for example, keeps a page comparing itself with ZoomInfo alternatives and another against Apollo. Use pages like these to learn which questions to ask, not to settle the answer. The Apollo page, for instance, concedes that BusinessMCP’s people tools cover fewer regions than Apollo’s database and that there is no phone data, and says it states no hit rates or head-to-head quality benchmark. That absence is a reminder that nobody has done your test for you.

Three habits make vendor material more useful. Read the date on the page, because pricing moves. Look for figures with a cited source, and ignore the ones without. And write down the claims you intend to check in your own pilot, so that the sample test answers specific questions rather than producing a vague impression.