EnrichLayer is a capable developer-first enrichment API — but its cache-first defaults, annual lock-in for best rates, and thin search filters send plenty of teams comparing options. We compared 7 real alternatives on price, self-serve access, and what each is actually good for.
Last updated: May 30, 2026
Three quick questions — get a straight answer, not a sales pitch.
All 7, ranked and compared on price and self-serve access before the full breakdown below.
| Tool | Starting price | Self-serve | Best for |
|---|---|---|---|
| LinkFinder AI | $49/mo | Yes | Natural-language lead search, no LinkedIn account needed |
| Clay | $149/mo | Yes | Waterfalling one lookup across 50+ providers |
| Coresignal | $49/mo | Yes | Bulk enrichment against a large historical dataset |
| People Data Labs | Free, then ~$98/mo | Yes | Large person & company dataset for bulk enrichment |
| Crustdata | ~$49/mo (datasets) | Partial | Real-time, webhook-triggered company & person data |
| Prospeo | Free, then $39/mo | Yes | Verified-email accuracy at low per-lead cost |
| ScrapingDog | Free trial, then ~$40/mo | Yes | Live per-request LinkedIn scraping |
| EnrichLayer | ~$588/yr (~$49/mo) | Yes | Cheap raw per-credit enrichment at high volume |
What each tool actually does well, what it doesn't, and who it's really for.
Where most of this list charges annually for a static database, LinkFinder AI enriches the contacts already in your CRM — verified emails, direct dials, LinkedIn URLs and company data — at a flat per-request price, and can connect to HubSpot to keep filling the gaps as new records arrive.
Clay is a visual workflow builder that chains together 50+ data providers, enrichment steps, and AI actions per row — useful if you want to combine several sources (potentially including EnrichLayer itself) into one pipeline rather than picking a single vendor.
Coresignal focuses on breadth — a large historical database plus API and bulk dataset access — closer to EnrichLayer's own model of raw, high-volume data than a lead-discovery tool.
People Data Labs is built around a genuinely large underlying dataset for person and company records, with a real (if limited) free tier to test before committing to a paid plan.
Crustdata is built specifically around an event-driven model — change alerts and live crawling on demand — rather than EnrichLayer's periodic, cache-first enrichment. If freshness-on-trigger is the priority, this is the more direct fit.
Prospeo narrows its focus to email finding and verification, with a 5-step verification process that only charges a credit on a confirmed valid result — a sharper focus than EnrichLayer's broader-but-shallower field set.
ScrapingDog takes a live-scraping approach rather than a maintained database — useful when you want a fresh pull per request instead of relying on cached records the way EnrichLayer does by default.
EnrichLayer (enrichlayer.com) is a developer-first B2B enrichment API with a unified REST interface covering people, companies, jobs, and contact data. There's no point-and-click UI and no CRM workflows: you write code, or you don't use it. For indie developers and product teams who want cheap, raw enrichment at the API layer, that focus is a genuine strength, and the per-credit pricing is competitive at scale.
It's also fair to note where EnrichLayer came from. Its endpoint structure and credit model closely mirror Proxycurl — the LinkedIn data API that shut down in 2025 after a LinkedIn lawsuit — and EnrichLayer is widely described as a Proxycurl-style successor that stepped into the gap. We're not going to assert it's the exact same company, because that hasn't been publicly confirmed. What matters for your decision is the design it inherited and the trade-offs that come with it.
Narrowed it down to just these two? A balanced side-by-side — EnrichLayer genuinely wins a couple of rows, this isn't a clean sweep.
EnrichLayer pricing and feature details verified from public sources, May 2026. Always check enrichlayer.com for current numbers.
EnrichLayer's plans are annual and credit-based, with pay-as-you-go also available. Here are the public 2026 tiers:
| Plan | Credits / year | Per credit | Annual cost |
|---|---|---|---|
| Starter | ~35,000 | ~$0.0168 | ~$588 |
| Growth | ~350,000 | ~$0.0103 | ~$3,588 |
| Pro | ~1,258,600 | ~$0.0086 | ~$10,788 |
| Ultra | ~2,954,000 | ~$0.0077 | ~$22,788 |
The headline per-credit number understates real cost, because endpoints consume credits at different rates: a person profile is 1 credit, a company lookup 2, a work email 3, and search burns 3 credits per result returned. So a Starter-tier work-email lookup is closer to $0.05 than $0.0168 — still cheap, but not the sticker number. The 500 trial credits work out to roughly 166 email lookups: enough to test, not to run a campaign.
use_cache parameter, and the default behavior serves cached records unless you explicitly request a live pull at higher credit cost. If predictable monthly spend and fresh-on-demand data matter to you, that's worth factoring in.
LinkFinder AI keeps it flat: 1 credit = 1 request regardless of endpoint, billed monthly, with free credits to start. See the pricing page for current plan limits.
You're a developer who only needs cheap raw enrichment of profiles you already have, you're comfortable API-only, you can commit annually, and you don't need rich search filters or a UI for the rest of your team. At very high volume, EnrichLayer's per-credit economics are hard to beat.
You want to find leads, not just enrich known ones — describing an audience in plain English and getting back matching profiles. You'd rather pay monthly than lock into a year. You want one predictable credit cost per request instead of doing per-endpoint credit math. You want non-developers to use a UI while developers use the same API. And you'd prefer an architecture that doesn't depend on LinkedIn accounts. See the full roundup above for how Clay, Coresignal, People Data Labs, Crustdata, Prospeo, and ScrapingDog compare if neither EnrichLayer nor LinkFinder AI is the exact fit.
The same enrichment jobs, plus the things an API-only credit tool leaves on the table.
1 credit = 1 request on any endpoint, billed monthly, no annual lock-in. No per-endpoint credit math, no surprise overage at search time. Free credits to start.
B2B Data Lookup pulls business-contact and company data without using your LinkedIn account — no ban risk on your side, and not the architecture that drew legal action against Proxycurl.
Both are REST + JSON, so migration is light. All LinkFinder requests go to a single endpoint with a type field selecting the enrichment:
curl -X POST "https://api.linkfinderai.com" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"type": "linkedin_profile_to_linkedin_info",
"input_data": "https://linkedin.com/in/john-doe"
}'
Read status and result from the JSON response, handle 429 with exponential backoff, and you're done. Full reference in the API documentation.
https://api.linkfinderai.com, set the type field, pass your key as a Bearer token, and read status/result. Most integrations move in an afternoon — see the API documentation.Get free credits, describe the leads you want in plain English, and see the difference from filter-based enrichment — no annual commitment, no LinkedIn account required.
No credit card required • Monthly billing • REST + JSON
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