6 Best FullContact Alternatives in 2026 (Compared)

People leave FullContact when they want B2B contact data and cannot price it. The one published Enrich API price is a $499 demographic bundle for 5,000 matches a month. It returns consumer fields such as age, income and homeownership (FullContact Enrich, September 2026). Work emails and business phones sit in other bundles, which are priced inside the platform after sign-up (FullContact docs, September 2026).

Resolve is demo only, and the MCP server has one tool, enrich_person (FullContact docs, September 2026). FullContact publishes no price at 1M records a month. Nobody can budget a large pull without a sales call.

This page ranks six alternatives for buyers who pull people and company data in code or through an agent. None of them replaces FullContact's identity graph or its consumer data. For the full price breakdown, read FullContact pricing.

TL;DR

"1M records" means 1M work-email lookups at one credit each, where the vendor uses credits. LeadOcean counts every person returned as one record, inside a flat plan. Only Apollo and LeadOcean publish a price you can multiply out. For the rest we say "no public 1M price" and do not extend a rate.

What we evaluated

• API and inputs: which identifiers the enrichment call accepts, and how it bills a miss.
• MCP: whether an agent can search and enrich through the server, or only read documentation.
• Price model: flat, credits or per seat, and the list price at 1M records a month.
• Data: stated coverage, email and phone fields, and search filters.
• Limits that bite: rate limits, bulk ceilings, expiring credits and plan gates.

We read each vendor's pricing page and docs in September 2026. We ran no find-rate or accuracy test for this page, so we quote no quality numbers.

1. LeadOcean: best for B2B contact data by API or agent at volume

LeadOcean is one B2B dataset behind one REST API and one MCP server. It holds 693M people, 366M with an email and 166M with a phone number, plus 63M companies. You search with 50 people filters and 34 company filters, and counts are free.

Enrichment is POST /v1/people/enrich with exactly one of linkedin_url, email, phone or person_id. There is no name plus domain lookup and no postal address input. Search by domain first, then enrich by person_id. Phones are GET /v2/people/phone, and exports run up to 50,000 rows per request.

The price does not move with volume. Pro is $499 a month with unlimited searches, enrichments and lookups, 5 API keys and 100 requests per second per key. A very large month is paced down to one request a minute until the reset, not cut off. The MCP server at https://api.leadocean.io/mcp signs in with OAuth 2.1 and exposes 12 tools.

curl -X POST "https://api.leadocean.io/v1/people/enrich" \
  -H "x-api-key: $LEADOCEAN_API_KEY" \
  -H "content-type: application/json" \
  -d '{"linkedin_url":"https://www.linkedin.com/in/jane-doe","reveal_email":true}'

Pros

• Flat $499 a month at any volume, with no credit meter.
• Work emails and phone numbers for B2B people, with an email status on every record, from verified to spam_trap.
• Free counts, and a miss on POST /v1/people/enrich is a free 404.
• REST and MCP on every plan, including Free.
• 100 requests per second per key on every plan.

Cons

• No consumer demographics, identity graph, mobile ad IDs or website visitor identification.
• Fewer enrichment inputs than FullContact: no name plus address lookup.
• The dataset is refreshed monthly, and a v2 contact call that finds nothing still costs one record.
• No refund or credit-back for bounced emails. Read email_status before sending.

Best for: engineers, RevOps teams and agents that need B2B contact data at volume and a fixed bill.

Pricing: Free is 1,000 records, one-off, no card. Pro is $499 a month, flat (LeadOcean pricing, September 2026).

2. People Data Labs: best for person enrichment from name, email, phone or profile

People Data Labs (PDL) is the closest like-for-like rival to FullContact Enrich. Its Person Enrichment API takes a profile URL, email, phone, email hash, or a name plus a location, company or school, and returns one matched person (PDL docs, September 2026). A request that finds nobody returns a 404 and is not billed. A min_likelihood score lets you reject weak matches.

The data is large. PDL lists 2.47 billion person profiles, 592 million with an email, and 764 million with a phone of any kind (PDL docs, September 2026). Its company dataset holds 76.6 million records (PDL docs, September 2026).

Pricing is per match. Pro starts at $98 a month for 350 credits, or $0.28 each, and PDL says Pro profiles cost about $0.20 to $0.28 by volume (PDL blog, September 2026). Self-serve is meant for volumes under roughly 100,000 profiles, and above that PDL quotes Enterprise only. Enrichment allows 1,000 calls a minute on paid plans, and Person Search defaults to 10 a minute (PDL docs, September 2026).

Pros

• Name plus location or company matching, which LeadOcean does not offer.
• A likelihood score on every match, and a free 404 on a miss.
• Very large stated person, email and phone datasets.
• Bulk enrichment takes up to 100 people per request.

Cons

• $0.20 to $0.28 a record on self-serve Pro, and no public price at 1M.
• Contact data is hidden on the Free plan, which gives up to 100 credits a month.
• Person Search defaults to 10 calls a minute.
• No official MCP server: none listed in PDL's docs index (PDL docs, September 2026).

Best for: teams that match people from partial data, such as a name and a city, and can budget per match.

Pricing: Free up to 100 credits a month. Pro from $98 a month for 350 credits, or $78 a month billed yearly. Enterprise custom (PDL pricing, September 2026).

3. Apollo: best for teams that also want a sales app

Apollo is a sales platform with a contact database and an API attached. It has sequences, a dialer and a Chrome extension (Apollo pricing, September 2026). That is the wrong shape for a pure data pipeline, but it suits a team whose reps already live in the app.

Pricing is per seat with a monthly credit allowance. Basic is $65 per seat a month for 2,500 credits, Professional $99 for 4,000, and Organization $149 for 6,000 with a three-seat minimum. Billed yearly they drop to $49, $79 and $119 (Apollo pricing, September 2026). An email costs 1 credit, a phone number 8, and API people enrichment 1 to 9 (Apollo docs, September 2026). Credits expire at the end of each billing cycle.

Every plan includes API access. Paid plans get 1,000 enrichment calls a minute, and bulk people enrichment takes 10 people per request (Apollo docs, September 2026). The official MCP server at https://mcp.apollo.io/mcp works on any plan, and enrichment through it spends the same credits (Apollo docs, September 2026).

Pros

• A sales app, sequencer and extension in the same product.
• API access and an official MCP server on every plan, including Free.
• Cheap at small volume: 4,000 credits per seat for $99 a month.
• 1,000 enrichment calls a minute on paid plans.

Cons

• Per-seat pricing makes volume expensive: 1M work emails is 250 seats at list.
• Credits do not roll over, including purchased add-ons.
• Bulk enrichment takes only 10 people a request.
• The price per extra credit is not public.

Best for: sales teams that want data, sequences and a dialer in one tool, at moderate volume.

Pricing: Free $0 for 75 credits a month. Basic $65, Professional $99, Organization $149 per seat a month. Billed yearly $49, $79 and $119 (Apollo pricing, September 2026).

4. Crustdata: best for live company, people and job data in agents

Crustdata sells company, people and job data through APIs for search, enrichment and change watchers. It is the pick here for agent builders who want fresh signals more than a static contact database. Search is cheap at 0.03 credits per result, so you narrow a list before you enrich it (Crustdata docs, September 2026).

Pricing is credit based, and the pricing page shows no plan names, dollar prices or price per credit (Crustdata pricing, September 2026). The docs give the credits per call. Person enrichment is 1 to 7 credits, and a work email through /person/enrich is 2 credits. The dedicated contact endpoint is 1 to 5.5 credits per matched person and is enterprise only (Crustdata docs, September 2026).

Volume is the catch. Default limits are 15 requests a minute on person enrich and 30 on search, and batch person enrich takes up to 10,000 identifiers a job (Crustdata docs, September 2026). The hosted MCP server at https://install.crustdata.com/mcp signs in with OAuth, or an API key as a bearer token (Crustdata docs, September 2026).

Pros

• Live data and entity watchers that a static dataset lacks.
• 0.03 credits per search result.
• A hosted MCP server that returns data.
• Batch enrichment up to 10,000 identifiers a job.

Cons

• No public dollar price per credit, so 1M records cannot be priced from the site.
• Default limits of 15 to 30 requests a minute.
• The contact endpoint needs an enterprise plan, and self-serve keys get a 403.

Best for: AI SDR and signal workflows that need fresh data more than raw volume.

Pricing: Credit based, with no public price list. Credits per call are in the docs (Crustdata docs, September 2026).

5. FullEnrich: best for waterfall work email and mobile lookups

FullEnrich runs each lookup across 25+ data sources and charges only for what it finds (FullEnrich pricing, September 2026). A work email is 1 credit, a personal email 3, and a mobile number 10. A lookup that finds nothing costs 0 (FullEnrich docs, September 2026). It is the closest fit for a FullContact buyer who only wants found emails and phones.

The ladder is public up to a point. Pro starts at $29 a month for 500 credits and reaches 100,000 credits for $3,500 a month, which is $0.035 a credit. Above that the page says contact sales. Unused credits roll over for 3 months on monthly plans.

API, MCP and bulk CSV are on every plan, including the free trial of 50 credits. The limit is 60 API calls a minute across enrich, reverse email and search, with up to 100 contacts per bulk request (FullEnrich docs, September 2026). The pricing page lists 800M people and 50M companies for search.

Pros

• Pay per found result. A miss costs 0 credits.
• 25+ sources behind one call, with API and MCP on every plan.
• Credits roll over for 3 months on monthly plans.
• A low entry price of $29 a month.

Cons

• No public price at 1M. The top public tier covers 100,000 credits.
• 60 API calls a minute is low for large jobs, though bulk requests help.
• A mobile number costs 10 credits, so a phone-heavy pull gets expensive fast.

Best for: teams that enrich a list they already own with work emails and mobiles and want to pay per find.

Pricing: Pro from $29 a month for 500 credits, or $26 a month billed yearly. Top public tier 100,000 credits for $3,500 a month (FullEnrich pricing, September 2026).

6. Lusha: best for small teams with a per-credit API

Lusha is a prospecting tool with an API on every plan, including Free (Lusha docs, September 2026). An email costs 1 credit and a phone number 5. A single API request for both costs up to 7 credits. Bulk requests take up to 100 contacts and add 1 credit per 25 results.

Plans are small. Starter is $49.90 a month for 400 credits, Pro $69.90 for 600, and Premium $399.90 for 3,400. Billed yearly they come to $37.45, $52.45 and $299.95 a month (Lusha pricing, September 2026). The top public step is 10,000 credits a month at $977.40. Scale is custom.

Rate limits are per key and rise with plan. Premium allows 300 requests a minute and 18,000 a day (Lusha docs, September 2026). The MCP server has 50 tools and shares the REST credit pool (Lusha docs, September 2026). The docs disagree on whether a request with no match costs a credit, so ask support.

Pros

• Low entry price, with a Free plan of 40 credits a month.
• API and an MCP server with 50 tools.
• Phone and email in a single request.
• Bulk requests of up to 100 contacts.

Cons

• The top public tier is 10,000 credits a month, so 1M records has no public price.
• Phones cost 5 credits, and the API charges extra for the request itself.
• Low rate limits on Free, Starter and Pro.
• Docs conflict on whether a miss is billed.

Best for: small teams and individual reps that want a per-credit API at low volume.

Pricing: Free $0 for 40 credits a month. Starter $49.90, Pro $69.90, Premium $399.90 a month. Billed yearly $37.45, $52.45 and $299.95 (Lusha pricing, September 2026).

Comparison table

Sources are linked in each tool section, all checked in September 2026. Vendors change plans often, so confirm on the pricing page before you buy. Apollo's 1M figure is list-price arithmetic: 1,000,000 credits across 250 Professional seats at $99, or 400 Basic seats at $49 billed yearly. Apollo does not say whether self-serve allows that many seats.

How to choose

• You pull B2B contact data in code or with an agent, at volume: LeadOcean. One flat price, emails and phones, REST and MCP on every plan.
• You match people from a name and a location or company: People Data Labs, and budget per match.
• Your reps also need sequences and a dialer: Apollo, and expect to pay per seat.
• You need fresh signals and change alerts for agents: Crustdata, after a rate-limit conversation.
• You only want to pay for emails and mobiles that are found: FullEnrich.
• You are one rep or a small team on a low budget: Lusha.
• You need identity resolution, mobile ad IDs or consumer demographics: stay with FullContact. None of these six sells them.
• Your need is adjacent: see Wappalyzer alternatives for tech data, Surfe alternatives for LinkedIn-to-CRM tools and Harmonic alternatives for startup data.

Verdict

LeadOcean wins for API and agent buyers who need B2B contact data at volume. It has a flat price, emails and phones in one plan, and an MCP server that returns records. People Data Labs is the like-for-like pick when you match people from partial data and can pay per match. Apollo wins for teams that want a sales app, Crustdata for live signals, FullEnrich for pay-per-find emails and mobiles, and Lusha for small budgets. Keep FullContact if you need identity resolution or consumer data. Otherwise start on the free plan and run the same lookups.

FAQ