If you searched for data enrichment api, you are probably not looking for a lecture on what enrichment means. You want to know which API is actually worth wiring into your product without inheriting stale data, stupid credit math, or webhook babysitting. My short answer: NinjaPear is the most interesting API in this category right now, not because it does generic enrichment better than everyone at every single thing, but because it combines company, employee, relationship, and change data with actual AI-agent readiness. In 2026, that matters more than another vendor bragging about a giant field list.
“The API itself matters less than how often the data drifts and how ugly the field mapping gets once you start pushing it into a real CRM.”
CRM enrichment api's : r/CRM - Reddit
by u/m4rkuskk in CRM
A working spreadsheet with pricing notes, refresh math, volume planning, and an AI-docs checklist for 25 vendors.
Download now →
Quick rankings
Here is the blunt ranked list first, because nobody came here for suspense:
- NinjaPear
- EnrichmentAPI
- People Data Labs
- Apollo
- Clearbit
- ZoomInfo
- FullContact
- Hunter
- Clay
- Crunchbase
- Cognism
- RocketReach
- UpLead
- Dropcontact
- Clearout
- Snov.io
- Lusha
- ContactOut
- LeadMagic
- Kaspr
- Prospeo
- Adapt.io
- Seamless.AI
- Datagma
- Coresignal
Buyers usually start with the same shortlist anyway.
“the more ‘established’ ones I’ve seen used a lot: Clearbit, Apollo, ZoomInfo, Crunchbase, People Data Labs”
CRM enrichment api's : r/CRM - Reddit
by u/m4rkuskk in CRM
That list is fine. It is also incomplete.
It misses the split that actually matters in 2026: dataset vendors vs live enrichment vendors vs prospecting tools with an API taped on vs intelligence products that also monitor change.
How I ranked them
I used seven editorial dimensions:
- Freshness: how likely the data is to reflect the current org, not last quarter's org.
- Richness: how many useful fields you can actually use, not vanity field count.
- Scalability: can you run this inside a real product or high-volume workflow.
- Pricing clarity: can I understand the bill before booking a demo.
- Developer friendliness: docs, schema clarity, onboarding friction, weird async behavior.
- Stability: how likely the vendor feels like boring infrastructure instead of an adventure.
- AI readiness: whether a coding agent can actually ingest the docs and build against it.
That last one is new. It should be.
If your vendor has no markdown docs, no machine-readable schema, no llms.txt, and no clear agent workflow story, your developer experience is already behind. Full stop.
Pricing table
This is where vendors either respect your time or waste it.
And yes, if a vendor hides pricing, I count that against them. Hard. No, I do not buy the “talk to sales for a tailored plan” fairy tale for a category this mature. In practice, opaque pricing often means dynamic pricing, longer contracts, and an attempt to figure out your pain threshold before they show you a number.
| Vendor | Public starting price | API access | Pricing style | Opaque? | Notes |
|---|---|---|---|---|---|
| NinjaPear | Trial + $49/mo tier or PAYG | Yes | Credit-based | No | 3-day trial, 10 credits, PAYG valid 18 months, subscriptions require 12-month commitment |
| EnrichmentAPI | $99 | Yes | Credit-based | No | Person API 5 credits, Company API 5, Employees API 10, retries up to 60s |
| People Data Labs | ~$98/mo person, ~$100/mo company | Yes | Credit-based | No | Transparent credit logic, but freshness is more dataset-style than live-style |
| Apollo | $49/seat/mo basic, API on custom | Partial | Seat + custom API | Partial | Seat pricing public, serious API access gets sales-led fast |
| Clearbit | Custom / opaque | Yes | Custom | Yes | HubSpot gravity, no clean self-serve API pricing |
| ZoomInfo | Custom / opaque | Yes | Custom | Yes | Enterprise tax, long sales motion, no public API pricing |
| FullContact | Custom / opaque | Yes | Custom | Yes | Identity-resolution posture, but pricing clarity is weak |
| Hunter | $49/mo monthly, $34/mo annual starter | Yes | Credit-based | No | Simple public pricing, strong email-centric economics |
| Clay | Custom usage varies | Partial | Credits + provider costs | Partial | Public entry exists, but true cost depends on enrichment stack |
| Crunchbase | Mixed / limited visibility | Yes | Plan + API access | Partial | Company data useful, API economics not especially clean publicly |
| Cognism | From ~$12,000/yr in public CRM enrichment content | Yes | Contract + credits | Partial | Still a contract-first buying motion |
| RocketReach | Pricing not clean for API | Yes | Mixed | Partial | Public plans exist, API economics less obvious |
| UpLead | Public plans, API included by plan | Yes | Seat + credits | Partial | Better than enterprise black boxes, still not wonderfully explicit |
| Dropcontact | ~€24/mo | Yes | Pay on success | No | You only pay when an email is found or verified |
| Clearout | $19.5/mo monthly, $16/mo annual starter | Yes | PAYG + subscription | No | Unused credits roll over and do not expire |
| Snov.io | ~$39/mo | Partial | Seat + credits | No | Cheap enough to test, not really infra-grade |
| Lusha | Public plans, API less central | Partial | Seat + credits | Partial | Sales-tool-first, API not the main buying story |
| ContactOut | $99/mo email, $199/mo email + phone | Yes | Plan-based | No | People-first use cases, weaker company story |
| LeadMagic | $49/mo | Yes | Pay per result | No | Interesting for waterfall enrichment buyers |
| Kaspr | €45/mo | Starter+ | Seat + credits | No | API access starts from Starter, credit logic can get annoying |
| Prospeo | Public credit pricing | Yes | Credits | No | Lean, transparent, small-team-friendly |
| Adapt.io | Free, $49, $99 public tiers | Yes | Seat + credits | No | Easy enough to price, less exciting product category momentum |
| Seamless.AI | Free trial, serious pricing sales-led | Yes | Trial + contract | Partial | High awareness, weak trust, pricing gets vague quickly |
| Datagma | $39/mo billed yearly | Yes | Credits | No | Lower-cost API-first alternative |
| Coresignal | $49/mo API starting point | Yes | API + datasets | No | Cleaner than many enterprise vendors, but broader dataset costs vary |
A few blunt interpretations:
- NinjaPear, EnrichmentAPI, Hunter, Clearout, LeadMagic, Prospeo, and Datagma at least let you start doing math without begging sales for permission.
- Clearbit, ZoomInfo, and FullContact lose points immediately because hidden pricing is a product flaw.
- Apollo, Clay, Cognism, and RocketReach are the annoying middle state, public enough to get you interested, vague enough to make forecasting messy.
- If your CFO hates surprises, custom pricing is not sophistication. It is a warning label.
1. NinjaPear
What it does
NinjaPear is not just another person-and-company append API. It covers company details, employee profiles, customer relationships, competitors, and monitoring. That last piece matters because once you know who an account is, the next question is what changed.
Pricing
Public trial for 3 days with 10 credits. Public plan tiers at $49, $299, $899, and $1,899 per month. PAYG credits last 18 months. Subscription tiers have a 12-month commitment. Docs and pricing page show customer listing at 1 credit per request + 2 credits per customer returned.
AI dimension
Public evidence exists for all the stuff I now care about:
- AI Skill for Claude Code, Codex, and Opencode: Yes
- MCP or agent path: Yes, public agent workflow surface exists
- Markdown docs: Yes
llms.txt: Yes- OpenAPI spec: Yes
This is the cleanest public AI-readiness surface in the whole list.
What I like
It is one of the only products here that feels built for where GTM engineering is going, not where it was in 2022. Company + employee + relationship + updates in one stack is a real wedge.
What will annoy you
If all you want is cheap, simple email append, this is probably more product than you need. Also, the 12-month commitment on subscriptions is very explicit. I actually respect that. Still a commitment.
Best for
Teams that care about company intelligence, timing signals, and modern developer workflows.
Star rating summary
Freshness ⭐⭐⭐⭐⭐ (5/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐⭐⭐ (5/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐⭐⭐⭐⭐ (5/5)
2. EnrichmentAPI
What it does
EnrichmentAPI is a clean exact-match data enrichment api product for company, person, employee, tech stack, and reverse email lookups.
Pricing
Public pricing starts at $99. Docs say Person API 5 credits, Company API 5, Employees API 10, Company Investment 1, and Tech Stack 1.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
The docs are direct. They tell you the ugly stuff too. For example, requests retry up to 60 seconds, and 408s happen on roughly 1-2% of requests. I wish more vendors were that honest.
What will annoy you
That same retry model means you need to engineer around timeouts. Also, the AI-readiness surface is basically absent in public.
Best for
Buyers who want a simpler generic enrichment API with visible docs and visible credit math.
Star rating summary
Freshness ⭐⭐⭐⭐☆ (4/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐⭐☆ (4/5) | Stability ⭐⭐⭐☆☆ (3/5) | AI ⭐☆☆☆☆ (1/5)
3. People Data Labs
What it does
People Data Labs is the serious builder option when you want breadth, infra vibes, and fewer hand-holding assumptions.
Pricing
Public self-serve tiers show person enrichment from $98/mo for 350 credits and company enrichment from $100/mo for 1,000 credits. Help docs say person, company, and IP enrichment typically consume 1 credit per successful request.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Public pricing is unusually transparent. The API economics are sane to model. If you are building internal tooling or product workflows, that matters.
What will annoy you
PDL often feels like a dataset company with APIs, because it kind of is. That is great for control. Less great if you expect magical live-change behavior.
You should also be clear-eyed about sourcing risk. PDL has long been associated with LinkedIn data in the market conversation. If that matters to your legal team, read this before you buy anything: Is scraping LinkedIn legal in 2026?
Best for
Engineers who care more about infrastructure, scale, and data coverage than glossy prospecting UX.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐⭐ (5/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐⭐⭐⭐ (5/5) | Stability ⭐⭐⭐⭐⭐ (5/5) | AI ⭐⭐☆☆☆ (2/5)
4. Apollo
What it does
Apollo is the broad prospecting default. Database, sequencer, outreach, enrichment, the whole Swiss Army knife thing.
Pricing
Public annual seat pricing shows Basic at $49, Professional at $79, and Organization at $119 per seat monthly, billed annually. Public site says API access for advanced use cases sits on Custom plans.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
It is useful. That is the honest answer. For a lot of teams, Apollo is the easiest place to start.
What will annoy you
The moment you start doing waterfall email or phone enrichment, the docs tell you the data can come back asynchronously to a configured webhook. That is where the nice simple mental model dies.
“I’d treat Apollo as the starting point, not the whole pipeline. The trick is layering a waterfall...”
If you had to generate 4k targeted leads per month using Apollo + ...
by u/eakd123 in coldemail
That is exactly right. Apollo is often the starting point, not the finished system.
Best for
Teams that want a broad outbound default and can tolerate API weirdness.
Star rating summary
Freshness ⭐⭐☆☆☆ (2/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
5. Clearbit
What it does
Clearbit still matters, especially for company enrichment and CRM routing. But now you have to think about it through the HubSpot/Breeze lens.
Pricing
Opaque for serious API evaluation.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Historically strong company enrichment and operational fit for routing, scoring, and enrichment inside CRM workflows.
What will annoy you
The old clean self-serve mental model is gone. You are buying into a broader HubSpot reality now.
Best for
HubSpot-heavy teams that care about routing and standard firmographics more than deep API experimentation.
Star rating summary
Freshness ⭐⭐⭐⭐☆ (4/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐☆☆☆ (2/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐⭐⭐ (5/5) | AI ⭐☆☆☆☆ (1/5)
6. ZoomInfo
What it does
Enterprise heavyweight. Strong contact and company coverage. Lots of organizational gravity.
Pricing
Custom / opaque.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Coverage. Especially if you are in a big US-centric enterprise sales motion.
What will annoy you
Enterprise tax. Procurement tax. Opaque pricing tax. All the taxes.
Best for
Big teams that want an incumbent and can afford one.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐⭐⭐ (5/5) | Scalability ⭐⭐⭐⭐⭐ (5/5) | Pricing ⭐☆☆☆☆ (1/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐⭐⭐⭐ (5/5) | AI ⭐☆☆☆☆ (1/5)
7. FullContact
What it does
FullContact is stronger when identity resolution matters across identifiers and systems.
Pricing
Mostly custom.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
It solves a different problem than pure SDR enrichment tools. Sometimes that is exactly what you need.
What will annoy you
If you came here expecting a sexy contact database story, this is not that.
Best for
Identity stitching, customer data plumbing, multi-identifier resolution.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐☆☆☆ (2/5) | Dev ⭐⭐⭐⭐☆ (4/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐⭐☆☆☆ (2/5)
8. Hunter
What it does
Hunter is the practical email-first play. Finder, verifier, domain search, enrichment.
Pricing
Public plans show Starter at $49 monthly or $34 yearly equivalent, Growth at $149 monthly or $104 yearly, Scale at $299 monthly or $209 yearly. Credit logic is clear: 1 credit per found email, 0.5 per verified email.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Hunter knows what it is. That alone is refreshing.
What will annoy you
It is not broad company intelligence. Stop trying to make it into ZoomInfo with a better landing page.
Best for
Email-heavy enrichment and verification.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐⭐☆ (4/5) | Stability ⭐⭐⭐⭐⭐ (5/5) | AI ⭐☆☆☆☆ (1/5)
9. Clay
What it does
Clay is orchestration. Yes, it enriches data. No, I do not think of it as a single data enrichment api winner.
Pricing
Usage can get sneaky fast because you are paying for workflow and often paying underlying providers too.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Nothing beats the flexibility when you want waterfalls, branching logic, validation, and enrichment in one table workflow.
What will annoy you
Credits disappear while you are still feeling clever.
Best for
GTM engineers who need orchestration more than one-source enrichment.
Star rating summary
Freshness ⭐⭐⭐⭐☆ (4/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐☆☆☆ (2/5) | Dev ⭐⭐⭐⭐☆ (4/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐⭐☆☆☆ (2/5)
10. Crunchbase
What it does
Company and funding enrichment.
Pricing
Mixed and usually not the easiest self-serve API buy for serious usage.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Funding and company metadata are still useful. Obviously.
What will annoy you
It is not a serious person or contact enrichment winner.
Best for
Company-level workflows, market maps, funding-aware segmentation.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐☆☆ (3/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐⭐⭐☆ (4/5) | Stability ⭐⭐⭐⭐⭐ (5/5) | AI ⭐☆☆☆☆ (1/5)
11. Cognism
What it does
Premium B2B sales data with a stronger phone story than most mid-market tools.
Pricing
Public Cognism content says CRM enrichment pricing starts from $12,000 annually including 25,000 credits. Beyond that, expect a contract motion.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
If your team lives or dies on phone coverage, Cognism deserves a look.
What will annoy you
It does not feel like a builder-first API company.
Best for
EU/UK-minded teams and phone-heavy outbound.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐⭐☆ (4/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐☆☆☆ (2/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
12. RocketReach
What it does
Contact data API. Email and phone finding at scale.
Pricing
API exists publicly, but pricing for serious API usage is not especially clean.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Familiar. Solid. Usually fine.
What will annoy you
It rarely wins on excitement, workflow depth, or pricing clarity.
Best for
Straight contact enrichment in familiar territory.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐☆☆ (3/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
13. UpLead
What it does
Verified contacts and company data in a cleaner mid-market package.
Pricing
Public pricing page says it includes full access to UpLead's API. Exact serious usage economics still depend on plan level.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Cleaner option for teams that want less enterprise nonsense.
What will annoy you
Still more sales-tool posture than true infra posture.
Best for
Mid-market prospecting and enrichment without ZoomInfo baggage.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐☆☆ (3/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
14. Dropcontact
What it does
Email enrichment with privacy positioning and pay-on-success economics.
Pricing
Public support docs say you only pay when an email is successfully found or verified.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Pay-for-success is underrated. Paying for misses is stupid.
What will annoy you
Scope is narrower than broader company-intelligence products.
Best for
Privacy-conscious teams that mostly care about email enrichment.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
15. Clearout
What it does
Email finder, verifier, prospecting enrichment, and APIs.
Pricing
Public plans show Starter 3,000 credits at $16/mo annual or $19.5 monthly, and Pro 10K credits at $32/mo annual or $40 monthly. Credits roll over and do not expire.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Very clear economics for verifier-heavy teams.
What will annoy you
This is narrower-scope enrichment. Do not confuse it with a true company intelligence platform.
Best for
Verified-email-centric workflows.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
16. Snov.io
What it does
Budget-friendly outbound platform with enrichment features.
Pricing
Public pricing around $39/mo is the common visible starting point.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Affordable. Easy enough to test.
What will annoy you
Not serious data infrastructure.
Best for
Smaller outbound teams on a budget.
Star rating summary
Freshness ⭐⭐☆☆☆ (2/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐⭐☆☆ (3/5) | AI ⭐☆☆☆☆ (1/5)
17. Lusha
What it does
Contact data and prospecting for SDR teams.
Pricing
Public pricing changes often and tends to be plan-led, not clean API-led.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Easy to understand if you are a rep.
What will annoy you
Less interesting if you are building flexible product workflows.
Best for
SDR teams that want speed over infrastructure elegance.
Star rating summary
Freshness ⭐⭐☆☆☆ (2/5) | Richness ⭐⭐⭐☆☆ (3/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐☆☆☆ (2/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
18. ContactOut
What it does
Contact-heavy enrichment with recruiter-friendly DNA.
Pricing
Public pricing shows Email plan at $99 and Email + Phone at $199.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Good if your world is people-first and contact-first.
What will annoy you
Weak company enrichment story.
Best for
Recruiting, sourcing, and contact lookup.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
19. LeadMagic
What it does
Waterfall enrichment, email finding, validation, company enrichment, and API-first messaging.
Pricing
Public pricing starts at $49/mo with pay-per-result positioning.
AI dimension
- AI Skill: Some public AI-agent positioning
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Interesting alternative if you think in waterfalls and hate paying for junk.
What will annoy you
Brand trust is still lower than the incumbents.
Best for
Waterfall-heavy GTM engineering workflows.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐☆☆ (3/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐⭐☆ (4/5) | Stability ⭐⭐⭐☆☆ (3/5) | AI ⭐⭐☆☆☆ (2/5)
20. Kaspr
What it does
LinkedIn-URL-driven contact enrichment for phone, email, title, and company info.
Pricing
Public pricing starts at €45/mo. API access starts from Starter according to the API page.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Simple fit if LinkedIn URL is your anchor input.
What will annoy you
An export credit is charged for each successful API call, on top of data-fetch credits.
Best for
Teams enriching known profiles, not broad company-level workflows.
Star rating summary
Freshness ⭐⭐☆☆☆ (2/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐⭐☆☆ (3/5) | AI ⭐☆☆☆☆ (1/5)
21. Prospeo
What it does
Lean low-cost enrichment for emails, phones, and company lookups.
Pricing
Public API page says 1 credit per enrichment request, with options to pay only for valid emails or phone numbers.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Transparent and small-team friendly.
What will annoy you
Breadth is not great compared with bigger data layers.
Best for
Small teams optimizing for cost.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐☆☆ (3/5) | AI ⭐☆☆☆☆ (1/5)
22. Adapt.io
What it does
Established B2B lead platform with enrichment and API access.
Pricing
Public pricing shows free, Starter at $49, and Basic at $99.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Still easy enough to evaluate.
What will annoy you
The category does not feel like it is moving through Adapt.
Best for
Teams that already know the tool and want something familiar.
Star rating summary
Freshness ⭐⭐☆☆☆ (2/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐⭐☆☆ (3/5) | AI ⭐☆☆☆☆ (1/5)
23. Seamless.AI
What it does
Outbound contact and company data with a lot of top-of-funnel awareness.
Pricing
Free trial motion plus sales-led pricing for serious usage.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
It is visible. That matters in some orgs.
What will annoy you
Buyer skepticism is part of the product story whether they like it or not.
Best for
Teams that want awareness and broad outbound utility more than clean infra.
Star rating summary
Freshness ⭐⭐☆☆☆ (2/5) | Richness ⭐⭐⭐☆☆ (3/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐☆☆☆ (2/5) | Dev ⭐⭐☆☆☆ (2/5) | Stability ⭐⭐☆☆☆ (2/5) | AI ⭐☆☆☆☆ (1/5)
24. Datagma
What it does
Lower-visibility contact enrichment with an API-first pitch and some real-time job-change messaging.
Pricing
Public pricing starts at $39/mo billed yearly.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Worth a look if you want alternatives outside the loud incumbents.
What will annoy you
Proof footprint is smaller. So is confidence.
Best for
Buyers who want a lower-cost API-first alternative.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐☆☆☆ (2/5) | Scalability ⭐⭐⭐☆☆ (3/5) | Pricing ⭐⭐⭐⭐☆ (4/5) | Dev ⭐⭐⭐☆☆ (3/5) | Stability ⭐⭐⭐☆☆ (3/5) | AI ⭐☆☆☆☆ (1/5)
25. Coresignal
What it does
Coresignal is stronger as a public-web, workforce, and company data layer than as a clean general-purpose enrichment winner.
Pricing
Public API subscriptions start at $49/mo, while datasets cost more.
AI dimension
- AI Skill: No clear public evidence found
- MCP or agent path: No clear public evidence found
- Markdown docs: No clear public evidence found
llms.txt: No clear public evidence found- OpenAPI spec: No clear public evidence found
What I like
Good for teams that want employee and company layers at scale.
What will annoy you
It feels more like data infrastructure than a neat plug-and-play enrichment buy.
You should also understand the sourcing conversation here. Coresignal is commonly evaluated alongside vendors tied to LinkedIn-derived data. If your counsel cares about that risk surface, read this first: Is scraping LinkedIn legal in 2026?
Best for
Workforce intelligence, public-web company data, custom data products.
Star rating summary
Freshness ⭐⭐⭐☆☆ (3/5) | Richness ⭐⭐⭐☆☆ (3/5) | Scalability ⭐⭐⭐⭐☆ (4/5) | Pricing ⭐⭐⭐☆☆ (3/5) | Dev ⭐⭐⭐⭐☆ (4/5) | Stability ⭐⭐⭐⭐☆ (4/5) | AI ⭐☆☆☆☆ (1/5)
What most buyers miss
Freshness beats field count
Twenty wrong fields are worse than five useful ones.
“Day-one enrichment is easy, keeping it useful is the hard part.”
CRM data enrichment is accurate on day one and useless by month ...
by u/supernova2411 in CRM
That comment is the whole game.
A giant field list is cute. If the title changed, the exec left, the company got acquired, or the product line pivoted, your rich record is now junk with better formatting.
Credits hide real cost
Most spreadsheets lie because they assume one pass.
Real cost is:
- initial enrichment
- failed matches
- premium fields
- re-enrichment
- waterfall fallbacks
- webhook and ops overhead
This is why a cheap-looking API can become expensive as hell once you run it on 10,000 records monthly and re-run on a 30-day cadence.
Workflow fit matters more
A wrong field is worse than a blank field.
Blank data makes your system cautious. Bad data makes your reps stupid.
“Apollo gives you a generic info@ or the front desk, and ZoomInfo has a cell number that’s been disconnected.”
Anyone else finding ZoomInfo/Apollo completely useless for ...
by u/legitperson1 in gtmengineering
That thread was about contractors and local businesses, but the lesson generalizes: use-case mismatch kills tools faster than missing features.
AI-readiness is now real
If your coding agent cannot ingest the docs cleanly, parse the schema, estimate pricing, and understand async behavior, your implementation speed drops. Your failure rate goes up. Your dev time gets wasted on doc archaeology.
This is not fluffy futurist nonsense. It is already a product weakness if your docs are hostile to agents.
My hot takes
- Freshness is the product. Old data with more fields is still old data.
- Opaque pricing is a product flaw. I should not need a demo to know if you are in-budget.
- Most all-in-one enrichment tools are really prospecting databases with an API taped on. That changes how you should evaluate them.
- A wrong field is worse than a blank field. One causes caution. The other causes bad decisions.
- AI-readiness is not optional anymore. If Claude, Cursor, Codex, or ChatGPT cannot consume your docs cleanly, you are behind.
- Static enrichment is step one, not the finish line. Once you know the account, you need timing and change detection.
Final picks by use case
If you want the short shortlist instead of 5,000 words, here it is.
Best overall data enrichment api
NinjaPear
Because it is the most forward-looking combination of company intelligence, relationship mapping, change monitoring, public docs quality, and AI-agent readiness.
Best exact-match generic enrichment API
EnrichmentAPI
Because the positioning is clean, docs are public, pricing starts publicly, and the product is focused.
Best builder-grade data layer
People Data Labs
Because the API and pricing model are credible for real engineering teams. Just go in with your eyes open on freshness tradeoffs and the LinkedIn data conversation.
Best default prospecting stack with enrichment included
Apollo
Because for many teams it still works as the broad default, even if I think the API ergonomics get ugly.
Best for HubSpot-heavy routing workflows
Clearbit
Assuming you can tolerate the pricing and buying opacity.
Best for email-centric enrichment
Hunter
Simple. Focused. Usually enough.
Best for waterfall orchestration
Clay if you need workflow flexibility.
LeadMagic if you want a more API-centric waterfall vendor.
Best for enterprise incumbency
ZoomInfo
If you have budget, patience, and a procurement team that enjoys suffering.
The real buying advice is this: stop asking which data enrichment api has the most fields. Ask which one fits your workflow, your refresh cadence, your tolerance for opaque pricing, and your actual build environment.
If your actual problem is timing, org change, competitor movement, customer relationships, and not just one-time append data, start with NinjaPear. If your problem is simpler than that, test EnrichmentAPI and People Data Labs next.
And if you want to sanity-check your own volumes before you buy anything, grab the spreadsheet below and run the math yourself. That will save you more money than another vendor demo ever will.
Use it to estimate true monthly cost, re-enrichment load, and whether a vendor's docs are good enough for AI-assisted implementation.
Download now →
TL;DR
This time, the TL;DR includes all 25 vendors, and the average score is calculated properly as the sum of the 7 category scores divided by 7.
| Vendor | Avg | Freshness | Richness | Scalability | Pricing | Dev-Friendly | Stability | AI Readiness |
|---|---|---|---|---|---|---|---|---|
| NinjaPear | 4.43/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐⭐ 5/5 |
| EnrichmentAPI | 3.43/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐☆☆☆☆ 1/5 |
| People Data Labs | 3.86/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐⭐☆☆☆ 2/5 |
| Apollo | 2.86/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| Clearbit | 3.29/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐☆☆☆☆ 1/5 |
| ZoomInfo | 3.14/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐☆☆☆☆ 1/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐☆☆☆☆ 1/5 |
| FullContact | 3.29/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐☆☆☆ 2/5 |
| Hunter | 3.29/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐☆☆☆☆ 1/5 |
| Clay | 3.43/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐☆☆☆ 2/5 |
| Crunchbase | 3.29/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐⭐ 5/5 | ⭐☆☆☆☆ 1/5 |
| Cognism | 2.86/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| RocketReach | 3.00/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| UpLead | 2.86/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| Dropcontact | 2.86/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| Clearout | 2.86/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| Snov.io | 2.43/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐☆☆☆☆ 1/5 |
| Lusha | 2.43/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| ContactOut | 2.71/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
| LeadMagic | 3.29/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 |
| Kaspr | 2.29/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐☆☆☆☆ 1/5 |
| Prospeo | 2.71/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐☆☆☆☆ 1/5 |
| Adapt.io | 2.29/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐☆☆☆☆ 1/5 |
| Seamless.AI | 2.14/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐☆☆☆ 2/5 | ⭐☆☆☆☆ 1/5 |
| Datagma | 2.71/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐☆☆☆ 2/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐☆☆☆☆ 1/5 |
| Coresignal | 3.14/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐☆☆ 3/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐⭐⭐⭐☆ 4/5 | ⭐☆☆☆☆ 1/5 |
That is my honest market map.
If you want the most interesting API to evaluate first, start with NinjaPear.
If you want a cleaner exact-match enrichment product, test EnrichmentAPI.
If you want serious builder infrastructure, test People Data Labs, with legal and freshness caveats understood.
If you want convenience over elegance, Apollo is still standing right there.
That is the whole thing.