TL;DR:
A data enrichment API is an endpoint you call with one known detail, like an email or a domain. It returns a full profile. It fills missing fields on a record in milliseconds instead of hours. Sales and RevOps teams wire it into forms, CRM workflows, and lead routing so records arrive complete.
Key insights:
- Enrichment APIs split into four jobs: person lookups, company lookups, tech stack data, and IP resolution. Pick the one your workflow needs.
- Match rate on your own list matters more than database size. Test with 500 of your real records before you sign anything.
- Cached databases look cheap until you count the dead records you paid for. Real-time verification costs more per call and less per meeting.
- Person records cost more than company records at every vendor. Budget for that gap.
- SMARTe, ZoomInfo, Apollo, People Data Labs, Coresignal, Clay, Lusha, and HubSpot Breeze all sell enrichment. They solve different problems.
- Phone coverage is the field where cheap APIs fall apart fastest.
Your marketing form asks for nine fields. Your conversion rate says people fill in two. So you cut the form to email and company. Now your sales team gets leads with no title, no headcount, no region, no phone number. Routing breaks. Scoring breaks. An SDR spends nine minutes on LinkedIn per lead just to find out the person left that job in March.
A data enrichment API fixes that gap at the moment the record gets created. One call out, a full profile back. Title, seniority, company size, industry, tech stack, direct dial, verified email. No form fields, no manual research, no waiting for a weekly CSV upload from someone in ops.
I think enrichment is the highest-return plumbing in a go-to-market stack. It is also the piece that breaks quietest. Teams buy on database size and then discover the match rate on their actual list sits near 40 percent. This guide covers how these APIs work, how to judge one, and which eight I would put on a shortlist.
What Is a Data Enrichment API?
A data enrichment API takes a small input and returns a large output. You send an email address, a domain, a LinkedIn URL, or a company name. The provider matches it against its database, verifies what it can, and returns a structured JSON response with the fields you asked for.
The difference from a CSV upload is timing. Batch B2B data enrichment runs on a schedule. An API runs at the moment something happens: a form submit, a new CRM record, a webhook from your product signup flow.
How a data enrichment API works step by step
The mechanics stay the same across vendors:
- Authenticate. You pass an API key in a header. Almost every provider uses a REST endpoint over HTTPS.
- Send an identifier. Email, domain, phone, full name plus company, or a vendor-specific profile ID.
- Match. The provider resolves your input to a record. This step decides everything. A weak matching layer returns nothing on inputs that a strong one resolves fine.
- Verify. Some vendors check the email and phone at call time. Others return whatever the last crawl found.
- Return fields. You get JSON back. Good APIs let you request only the fields you want, which keeps payloads small.
- Bill. A successful match costs one credit at nearly every vendor. A 404 usually costs nothing, though you should confirm that in writing.
What to do: Before you write any integration code, log the raw JSON from 50 test calls. You will find fields you assumed existed and fields you did not know to ask for.
Types of data enrichment APIs
People use "enrichment" to mean four different products. Buying the wrong one wastes a quarter.
Contact enrichment API
A contact enrichment API returns person-level fields: job title, seniority, department, work email, direct dial, mobile, location, LinkedIn URL. SDR teams need these fields. They also carry the highest price per record, because people move and companies do not.
Person data also decays fastest. If you care about why, B2B data decay explains the mechanics better than I can in a paragraph here.
Company enrichment API
Send a domain, get firmographics: legal name, industry code, headcount, revenue band, HQ location, funding history, parent company. A company data API sits at the cheap end of the market. Expect roughly a third of the price of person lookups at the same vendor.
Company fields feed territory assignment, ICP scoring, and form shortening. Good firmographics data for B2B targeting also stabilizes your reporting, because headcount bands stop drifting between systems.
Technographic enrichment
This tells you what software an account runs. Salesforce or HubSpot, AWS or Azure, Marketo or Braze. Teams selling replacements or integrations live on this. Coverage varies wildly by vendor, so ask for a sample against 20 accounts you already know. A short list of technographic data providers helps you narrow the field.
IP and visitor enrichment
Send an IP address, get a company back. This powers anonymous visitor identification on your website. Accuracy drops hard on residential and mobile IPs, so treat the output as a signal, not a fact.
Lead enrichment vs data enrichment
People use the terms loosely. Lead enrichment for inbound records usually means filling in a single inbound record so a rep can work it today. Data enrichment covers the wider job, including bulk cleanup of records you already own. Same API, different volume and different urgency.
Why a Data Enrichment API Is Important
The honest answer: because manual research does not scale and stale fields quietly break every automation you build on top of them.
Short forms convert better
Every field you remove from a form lifts completion. An enrichment call at submit gets those fields back without asking the visitor for them. You ask for a work email. You store title, headcount, industry, and region.
Routing and scoring stop lying to you
Lead scoring runs on fields. If headcount is blank on a third of your records, your score is guesswork on a third of your pipeline. Round-robin routing by territory needs a country and a region, not a null value.
I would rather have 5,000 complete records than 50,000 records where half the fields are empty. The second list looks better in a board deck and performs worse in a sequence.
Fewer wasted dials and dead emails
A bounced email is a data problem wearing a deliverability costume. Same with a dial that hits a disconnected line. Verified contact fields cut both. Bad CRM data shows how the cost spreads past the sales team into attribution and forecasting.
The economics favor prevention
Fixing a record at the point of entry costs a fraction of what it costs to fix later. Acting on a wrong record costs more again. The 1-10-100 rule of data enrichment puts numbers on that idea. I find it the easiest way to justify an enrichment budget to a CFO.
AI workflows need complete records
Every AI agent, scoring model, and research automation in your stack reads from your CRM. Feed it half-empty records and it invents the rest. AI ready B2B data covers what "ready" means in practice, and AI data quality covers what breaks when you skip it.
How to Choose the Best Data Enrichment API
Here is the part vendors do not put on the pricing page.
Test match rate on your list, not their sample
Every vendor demo uses accounts where their coverage is strong. Hand them 500 rows from your own CRM, ideally your worst 500. Ask for match rate, fill rate per field, and cost per matched record. A vendor who refuses this test is telling you something.
Match rate and fill rate differ. A vendor can match 90 percent of your rows and still return a mobile number on 20 percent of them.
Check coverage field by field
Ask for fill rate on the four fields you care about, not on the whole record. Email fill rates look strong everywhere. Mobile fill rates separate the market. Global coverage is the other gap. Plenty of APIs run strong in the US and thin out fast in LATAM, APAC, and the Nordics.
Decide between real-time and cached
Cached vendors return what their last crawl found, which might be six months old. Real-time vendors verify at call time, which costs more and returns fresher fields. For a nurture list, cached is fine. For a dial list, real time B2B data verification earns its premium inside a week.
Read the rate limits before you design the integration
Rate limits shape your architecture. A 50 requests per minute cap means your 100,000-row backfill takes 33 hours. Check three things:
- Requests per minute per key, and whether it varies by endpoint
- Whether a bulk endpoint exists and how many records per call it accepts
- Latency at the 95th percentile, since a slow form-submit call ruins the page
Understand what counts as a billable match
This line item surprises people. Ask directly:
- Does a partial record cost a full credit?
- Does a 404 cost anything?
- Do credits roll over, or reset monthly?
- Does a search that returns 100 profiles cost 100 credits?
- Are phone reveals priced separately from email reveals?
Plan the waterfall before you need it
No single provider wins on every field in every region. Running two or three vendors in sequence, cheapest first, raises fill rate and lowers blended cost. Waterfall enrichment across providers walks through the order of operations. If you plan one, check that your primary vendor allows it in the contract.
Confirm compliance and sourcing
Ask where the data comes from and what the opt-out flow looks like. Ask for the SOC 2 report. If you sell into the EU, ask how the vendor handles data subject requests through the API. Compliant B2B data breaks down what to require in writing rather than take on trust.
Judge the docs like a developer will
Read the documentation before you talk to sales. Working code samples, official SDKs, a sandbox that does not burn credits, clear error codes, and a changelog. Missing sandbox and vague error codes predict a painful integration.
The broader vendor evaluation checklist in how to choose a B2B data provider covers contract terms and support in more depth.
A one-week evaluation you can run
Day one, pull 500 real records. Day two, run them through two free tiers. Day three, score match rate and per-field fill rate. Day four, call 20 of the phone numbers each vendor returned. Day five, do the math on cost per usable record. That last number is the only one worth comparing.
The 8 Best Data Enrichment APIs
Prices below come from public pricing pages and third-party trackers, read in September 2026. A few vendors publish nothing at all, so verify before you budget.
1. SMARTe API
I work on the growth side at SMARTe. Factor that bias in as you read this section. What I can point at is the coverage profile, because that is where SMARTe was built to compete rather than on raw record count.
SMARTe is a B2B data platform with 289M+ verified contacts across 200+ countries. It checks records at the point of use instead of serving a static snapshot. The API and bulk endpoints push the same data into your CRM at 90%+ match rates. The pitch is narrow on purpose: phone coverage and international depth, not the widest field list on the market.
Best for
Outbound teams and RevOps groups that need verified mobile numbers, and any company selling outside North America where US-centric databases go thin.
Key features
- 289M+ verified B2B contacts and 66M+ company profiles
- 75%+ US mobile and direct dial coverage
- 50%+ global direct dial coverage across 200+ countries
- 86% of US decision-makers reachable on a verified email
- Real-time verification rather than batch refresh
- API and bulk enrichment with 90%+ CRM match rates
- Technographic data across 64K+ tracked products
- Bombora intent signals, funding events, leadership changes, headcount growth
- Automated job change tracking on existing records
- Native Salesforce and Outreach apps
- SMARTe MCP, which gives an AI assistant live access to the same data
Pros
- Phone coverage is the strongest reason to look at it, in the US and abroad
- Credit pricing on Pro, with no per-seat cost
- Real-time checks cut the stale-record problem at the source
- Genuine depth in LATAM and APAC, where bigger names run thin
- SOC 2 Type II certified, GDPR aligned, CCPA compliant
- Free tier with no card required, so a technical evaluation costs nothing
Cons
- Enterprise entry point of $15,000 a year rules out small teams needing high volume
- Free tier at 10 credits a month is a taste, not a trial run
Pricing
- Free: $0 for 10 credits a month, no credit card, full team access
- Pro: from $25 a month, pay per credit at $0.50, no per-seat charge
- Enterprise: from $15,000, down to $0.30 per credit on a two-year term
- No hidden fees and no long-term commitment on the self-serve plans
- API volume terms sit inside the plan discussion, so confirm limits before you build
A deeper walkthrough of the enrichment side lives in SMARTe B2B data enrichment.
Try SMARTe free and run your own 500-record match test before you talk to anyone.
2. Clearbit Enrichment API (now HubSpot Breeze Intelligence)
Clearbit set the standard for developer-friendly enrichment. The docs were clean, the response shape made sense, and the free tier let engineers ship a prototype in an afternoon. HubSpot bought it in late 2023 and folded it into Breeze Intelligence.
That changes the buying decision completely. Enrichment became a CRM feature rather than an API product.
Best for
Teams already running HubSpot as their CRM who want native enrichment on records and forms without building anything.
Key features
- Person and company enrichment on HubSpot records
- Form shortening, which hides fields Breeze can fill on its own
- Buyer intent scoring inside HubSpot
- Visitor identification through the old Reveal capability
- Automatic enrichment on record creation and on a refresh schedule
- Data health and property management tooling in the HubSpot UI
Pros
- Zero integration work if HubSpot is already your system of record
- Firmographic accuracy held up well through the transition
- Form shortening is a real conversion lever
- Credit consumption shows up in the same dashboard as everything else
Cons
- Standalone API access is effectively gone, and the old free tier shut down
- Requires a paid HubSpot subscription, so the real floor sits well above the credit price
- Phone numbers left with Prospector, which forces a second vendor for dial data
- Non-HubSpot stacks get nothing from this product
- Credits reset monthly with no rollover in the reported terms
Pricing
- No standalone Clearbit price exists anymore
- Breeze Intelligence sells as credit packs inside a HubSpot account
- Third-party guides report the smallest pack near $45 a month for 100 credits
- A paid HubSpot subscription is mandatory on top, from roughly $20 a seat monthly
- Reported real-world floor lands around $65 to $75 a month for a small team
- Volume packs move to custom quotes, and HubSpot publishes no clean number
Mapping the migration takes a bit of reading. Clearbit enrichment after the acquisition covers what moved where. Clearbit alternatives for API access covers the API-first replacements.
3. ZoomInfo API
ZoomInfo owns the category by revenue and by database breadth. Contact records, company records, intent, scoops, org charts, technographics. If your buying committee wants the safe choice, this is the one they name.
The tradeoff is cost and commitment. Nothing about ZoomInfo is self-serve.
Best for
Enterprise sales orgs with budget, a North American focus, and a need for one vendor across data, intent, and engagement.
Key features
- Deep US contact and company coverage
- Enrich endpoints for person and company, plus bulk jobs
- Intent topics and Scoops, which are researcher-sourced account notes
- Org charts and reporting structures
- Technographic and firmographic attributes at field level
- Native CRM and MAP integrations with automated refresh
Pros
- US coverage and title accuracy are hard to beat
- Org chart data helps with buying group mapping
- One contract covers data, intent, and engagement tooling
- Mature integrations that admins already know
Cons
- No published pricing, so budgeting means a sales cycle
- Annual contracts with seat minimums and reported renewal increases
- International coverage thins outside North America and Western Europe
- API access and enrichment often price as add-ons rather than inclusions
- Credit and export caps surprise teams mid-year
Pricing
- Quote only, with no public price card
- Third-party trackers commonly report contracts starting near $15,000 a year
- Larger deals run into the tens of thousands, tied to seats and modules
- API and enrichment volume price separately in nearly every reported quote
For a field-by-field look at the enrich product, see ZoomInfo enrichment field coverage.
4. Apollo.io API
Apollo bundles data and outreach in one place, with a free tier that got a whole generation of SDRs started. For a small team that wants prospecting, sequencing, and enrichment on one invoice, it is a reasonable first purchase.
Credits are where the story gets complicated.
Best for
Small and mid-market teams who want enrichment and sequencing together, with a low entry price and a usable free plan.
Key features
- People and company enrichment endpoints, plus bulk enrichment
- CSV, CRM, and API enrichment listed across the paid tiers
- Waterfall enrichment inside the platform
- Built-in sequencing, dialer, and deliverability tooling
- Intent topics and filters
- Salesforce, HubSpot, and Pipedrive integrations
Pros
- Lowest published entry price of the bundled platforms
- Free plan is enough to test response shape and field quality
- One tool covers data and outreach for early-stage teams
- Documentation is public and easy to read
Cons
- Phone reveals burn credits far faster than email reveals
- Credit allowances tie to seats, which distorts the math for API-only use
- Reviewers consistently flag mobile accuracy as the weak field
- Credits reset without rollover on the lower tiers
- Non-US coverage is thinner than the record count suggests
Pricing
- Free: $0, with a small monthly credit allowance
- Basic: from $49 per user a month on annual billing
- Professional: from $79 per user a month on annual billing
- Organization: from $119 per user a month on annual billing, with a three-seat minimum
- Monthly billing runs roughly 15 to 25 percent higher across tiers
- Mobile and export credits meter separately from data credits
Two useful follow-ups: Apollo data enrichment for the feature detail, and Apollo SMARTe integration if you plan to run them side by side.
5. People Data Labs API
People Data Labs sells data, not software. No UI, no CRM sync, no workflows. You get endpoints, SDKs in five languages, and a published per-credit price table, which is rarer than it should be.
Engineers like it for exactly that reason.
Best for
Product and data teams building enrichment into their own application, and anyone who wants published per-record pricing.
Key features
- Person Enrichment, Company Enrichment, Search, and Bulk endpoints
- Person Identify for resolving partial identities
- IP Enrichment for visitor resolution
- Official SDKs for Python, JavaScript, Ruby, Go, and Rust
- Sandbox endpoints that return synthetic data without spending credits
- Free Cleaner and Autocomplete endpoints
Pros
- Published pricing, which makes cost modeling simple
- Strong professional history and skills fields for resume-style data
- Sandbox lets you build the integration before you pay
- Rate limits climb sharply on paid tiers
Cons
- No interface at all, so non-technical teams cannot use it
- Verified emails and phones are a weak spot next to sales-first vendors
- A sparse record still costs a full credit
- Bulk enrichment caps at 100 records per request
- No CRM connectors, so the integration work lands on your team
Pricing
- Free: up to 100 records a month, with contact fields obscured
- Self-Serve: from $98 a month, starting at 350 person records, around $0.28 per record
- Annual commitment brings the same allowance to roughly $940 a year
- Company enrichment prices near $0.10 per match, well below person lookups
- Person Identify prices separately, reported around $0.55 per successful match
- Enterprise: custom, with volume discounts and data licensing
6. Coresignal API
Coresignal is infrastructure. Employee records, company records, job postings, all structured and refreshed from public web sources, delivered by API or flat file. It suits teams building a product or a model, not teams working a dial list.
Best for
Data engineering teams and product builders who need bulk structured web data and can write the pipeline themselves.
Key features
- Employee, company, and jobs endpoints
- Elasticsearch Query DSL for filtering large datasets
- Search credits and collect credits as separate pools
- Historical headcount API on the top tier
- Webhooks for employee data changes on higher plans
- Flat file delivery as an alternative to API calls
Pros
- Cheapest published entry point among the raw data APIs
- Job posting data makes a strong hiring signal source
- Self-serve up to high credit volumes without a sales call
- Daily updates on core datasets
Cons
- No verified emails or phone numbers, so it cannot replace a sales data vendor
- Two credit pools make forecasting harder than it should be
- Multi-source requests cost double credits
- Unused credits expire monthly
- Engineering time is the real cost, and it never shows on the invoice
Pricing
- Free trial: 2,000 credits over seven days, with full endpoint access
- Subscription: from $49 a month, including 250 collect credits
- Search credits arrive at roughly twice the collect credit count on every plan
- Annual billing takes about 20 percent off
- Enterprise: volume pricing, with lower per-credit rates and customization
7. Clay
Clay is not really an enrichment API. It is a spreadsheet-shaped orchestration layer that calls 150 or more providers for you. HTTP endpoints and webhooks let you wire it into other systems. For GTM engineers, that flexibility is the whole appeal.
Best for
GTM engineers and growth teams who want waterfall enrichment across many providers without building the fallback logic in code.
Key features
- Waterfall enrichment across 150+ data providers
- Claygent, an AI research agent for fields no provider covers
- HTTP API and webhook actions on higher tiers
- Bring your own API keys on all plans
- CRM sync on the upper tier
- Spreadsheet interface that non-engineers can read
Pros
- Best fallback logic on the market without writing any
- Bring-your-own-keys means you pay providers directly where that is cheaper
- Claygent covers odd fields that no database holds
- Unlimited users on every plan
Cons
- Two credit types, data credits and actions, make bills unpredictable
- The March 2026 repricing raised entry cost and cut mid-tier credits
- Not a data source of its own, so quality depends on the providers you chain
- Credits reset monthly, and mid-month top-ups carry a surcharge
- Overkill if you want one endpoint returning one record
Pricing
- Free: 100 data credits and 500 actions a month, with a row cap
- Launch: reported around $167 a month on annual billing
- Growth: reported around $446 a month on annual billing, with HTTP APIs and CRM sync
- Enterprise: custom, with median contracts reported near $30,000 a year
- Legacy Starter, Explorer, and Pro plans remain for existing customers only
More detail sits in Clay data enrichment, and the SMARTe Clay integration guide shows how to slot a phone-heavy source into a Clay table.
8. Lusha API
Lusha built its name on a browser extension that works. The API exists, with enrichment and search endpoints, and the self-serve pricing is public, which puts it ahead of the enterprise-only crowd on transparency.
Rate limits are the catch for pipeline work.
Best for
Small teams and solo sellers who want quick contact lookups, with light API use on top of extension workflows.
Key features
- Person and company enrichment endpoints
- Bulk and CSV enrichment on higher tiers
- Browser extension with LinkedIn workflows
- Job change alerts and intent filters
- Salesforce and HubSpot integrations
- Credit allocation controls for team admins
Pros
- Published self-serve prices, which is rare in this market
- Extension workflow is fast for one-off lookups
- European coverage is decent for a tool at this price
- Free plan lets you sample record quality
Cons
- Phone reveals cost five or more credits each, which drains allowances fast
- API rate limits throttle any real backfill
- Published plan details conflict across Lusha's own pages and G2
- Full CSV enrichment and export sit behind the enterprise tier
- Promotional pricing makes year-two cost hard to predict
Pricing
- Free: $0, with a small monthly credit allowance and one seat
- Self-serve tiers run roughly $49.90 to $399.90 a month at list price
- Promotional annual rates appear often, so list price and paid price diverge
- API access sits on the higher self-serve tiers and the enterprise plan
- Scale: custom pricing, annual contract, fair-use limits on volume
- A verified email costs one credit and a phone number costs five or more
Data Enrichment API Comparison
How to Implement a Data Enrichment API Without Breaking Your CRM
Integration failures rarely come from the API. They come from writing to fields nobody agreed on.
Map fields before you write code
Decide which CRM field each API field lands in, and who owns that mapping. Decide what happens on conflict: does enrichment overwrite a rep's manual entry, or lose to it? Write the answer down. This one decision causes more arguments than the rest of the project combined.
Enrich at creation, then on a schedule
Two triggers cover nearly every case. Enrich on record creation so routing works immediately. Re-enrich on a cadence, or on a job-change signal, so records stay current. Teams that track job changes as a trigger spend fewer credits than teams re-enriching everything quarterly.
Log every call with its response
Store the raw response and the credit cost per call. When someone asks why the bill doubled, you will have an answer in ten minutes instead of a week. It also gives you match-rate reporting for free at renewal time.
Handle failure quietly
A 404 means no match. Do not write nulls over good data. Do not retry a hard miss. Queue and retry on 429 and 5xx, and cap the retry count so one bad afternoon does not eat a month of credits.
Watch for the CRM side effects
Enrichment writes trigger workflows, and workflows send emails. I have seen a backfill fire a welcome sequence at 40,000 records because nobody paused automation first. Turn off rules, run the backfill, review the diff, then turn them back on.
Platform-specific quirks matter here, and Salesforce data enrichment and CRM data enrichment both cover the field-level mechanics in more depth than a checklist allows.
Mistakes That Waste Enrichment Credits
- Enriching everything. Enrich records a human or a sequence will touch. Dormant records from 2019 do not need a mobile number.
- Ignoring the search endpoint cost. A search returning 100 profiles can cost 100 credits at some vendors. One careless loop drains a plan.
- Skipping the sandbox. Building against live endpoints burns credits on code you are still debugging.
- Trusting one vendor globally. Coverage is regional. A vendor strong in the US often returns nothing in Brazil or Japan.
- Buying on database size. A 300 million record database that matches 40 percent of your list beats nothing. It also loses to a smaller database that matches 70 percent.
Where AI Changes the Enrichment Job
AI agents now do the research layer that used to sit between the API and the rep. They read the enriched record, pull recent signals, and draft the angle. That only works when the underlying fields are right, which is why AI data enrichment starts with data quality rather than with the model.
The newer pattern is giving an assistant direct access to a data provider. Model Context Protocol MCP is the standard behind that, and SMARTe MCP is one implementation of it. Instead of writing an integration, you let the assistant query verified data live. Teams using Claude for lead enrichment already work this way. I suspect a chunk of the traditional API market moves here inside two years.
Worth saying plainly: an MCP connection is not a replacement for a production API. It is excellent for research and ad-hoc work. For a form submit that needs a 300 millisecond response, you still want the endpoint.
Common Questions About Data Enrichment APIs
What is the difference between a data enrichment API and a data provider?
A provider owns the database. An API is how you reach it. Some providers sell only the API, like People Data Labs and Coresignal. Others sell a platform where the API is one access route among many. SMARTe, ZoomInfo, and Apollo all work that way.
How much does a data enrichment API cost per record?
Published rates run from a fraction of a cent at high volume to about $0.55 for a hard identity resolution. Company records cost less than person records at every vendor I checked. The number that matters is cost per usable record on your list, which lands higher than the sticker price once you account for misses.
Can I use a data enrichment API without a developer?
Yes, if you pick a tool with a UI or native CRM app. SMARTe, Apollo, and Lusha all enrich from an interface. Clay does it with a spreadsheet. Pure API vendors like Coresignal need someone who writes code.
Does enrichment data expire?
The record in the database does not expire, but its accuracy drops every month as people change jobs and companies restructure. That is why refresh cadence and real-time verification matter more than the initial match.
How many enrichment vendors should I run?
One is fine at low volume. Two or three in a waterfall makes sense once fill rate on a specific field costs you meetings. Past three, the management overhead usually outweighs the marginal coverage.
The Field Nobody Checks Is the One That Costs You
Enrichment gets sold on record counts and bought on record counts. Neither side talks about fill rate on the one field your team dials. I would take a smaller database with honest phone coverage over a bigger one with an impressive logo wall, every time.
Data does not close deals. Reaching the right person before a competitor does closes deals. An enrichment API is worth what it saves your team in wasted attempts. Measure it that way. Hold every vendor to the same 500 rows.
See how SMARTe finds verified mobile numbers in your target accounts.
