There is no single best brand-data API for every developer in 2026. Choose by the job your application must perform: Apollo is a strong fit for company enrichment tied to prospecting, People Data Labs (PDL) offers configurable company matching and a separate IP-enrichment path, HubSpot’s Breeze Intelligence suits teams already operating inside HubSpot, and Crunchbase is the specialist option when funding rounds and investor history matter most. Clearbit is no longer a straightforward standalone-API choice: HubSpot acquired its parent business, and a September 2026 vendor comparison reported that new standalone Clearbit keys were no longer being issued. Confirm current access, packaging and eligibility with each provider before migrating.
Start with the workflow, not the vendor name
“Brand data” can mean several different datasets. A product that fills missing firmographics on CRM records has different requirements from a service that turns an IP address into a probable company, a prospecting tool that also finds people, or a research pipeline that tracks investors and funding rounds. Treating these as interchangeable creates expensive mismatches: a provider can return excellent employee and industry fields while offering no useful funding history, or it can match companies well but lack the independent API access your application requires.
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Before comparing providers, write down:
- the fields your application must return, such as industry, revenue, employee count, headquarters, hierarchy, funding rounds, investors, phone numbers or location;
- the identifiers you actually possess, such as a domain, website, company name, social-profile URL, location, ticker or visitor IP address;
- whether the result must be written into a CRM, consumed by a standalone product, used for prospecting, or joined to an internal company list;
- your acceptable match-error rate, latency and throughput; and
- whether payment is expected per match, per credit, per seat or through a negotiated contract.
Those answers usually narrow the field faster than a generic feature checklist.
What changed for Clearbit users
HubSpot’s 2023 Form 10-K states: “On December 1, 2023, the Company acquired all outstanding shares of APIHub, Inc., (d.b.a. Clearbit), a B2B data provider.” Clearbit therefore became part of HubSpot rather than remaining an independent company in the way many developers originally encountered it.
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A BusinessMCP comparison based on vendor-page checks dated September 28, 2026 reported that Clearbit had been folded into HubSpot as Breeze Intelligence, that new standalone API keys were no longer issued, and that enrichment was available through paid HubSpot subscriptions. That availability information is secondary-source reporting, not a guarantee for every account or geography. If your integration depends on a standalone endpoint, ask HubSpot whether your account can access the required data and API surfaces before changing production code.
The practical consequence is that “Clearbit alternative” now often means one of two things: a replacement enrichment API that can run independently of a CRM, or a move into HubSpot’s own CRM-centered enrichment workflow. Decide which of those you need before evaluating field coverage.
At-a-glance comparison
| Provider | Best fit | Accepted identifiers or inputs | Documented data or capability | Usage and access notes |
|---|---|---|---|---|
| Apollo | Company enrichment combined with prospecting and sales operations | Domain, company LinkedIn URL, website or company name; Apollo says a name can improve matching when paired with another identifier | Industry, revenue, employee counts, funding-round details, corporate phone numbers, locations, language, retail-location counts and organization hierarchy; related people and company search/enrichment APIs | Organization-enrichment endpoint charges one credit per organization; bulk endpoint supports up to 10 companies per call. Some free-account endpoints require a work-email account and may have additional eligibility rules. |
| People Data Labs | Applications needing configurable company matching or a separate IP-to-company workflow | Name, website, location, social profile or ticker, with user-defined match strictness and required fields | Company profiles; PDL says each returned record is the most up-to-date version in its dataset, refreshed monthly. Its related IP-enrichment API accepts IPv4 or IPv6 and returns company, location and proxy/VPN metadata. | Charged per match. Exact public price and account requirements were not stated in the reviewed material. |
| HubSpot Breeze Intelligence | Teams already using HubSpot as the system of record | Depends on HubSpot’s CRM and product configuration | Clearbit-derived enrichment integrated into HubSpot’s broader CRM experience, according to the dated 2026 comparison | Current plans, API access, account eligibility and standalone-use options must be confirmed with HubSpot. New standalone Clearbit-key availability was reported as discontinued. |
| Crunchbase | Funding rounds, investor history and financing-focused research | Not stated in the reviewed material | Distinct funding-data path identified by a third-party comparison | Primary API documentation and exact pricing were not retrieved; verify availability and terms directly before building against it. |
Apollo: a broad company-enrichment endpoint for sales workflows
Apollo documents its organization-enrichment endpoint at https://api.apollo.io/api/v1/organizations/enrich. You can submit a company domain, company LinkedIn URL, website or company name. Apollo notes that supplying a name together with another identifier can improve match accuracy, which is useful when your source records contain inconsistent domains or abbreviated legal names.
What the response can contain
Potential organization fields include industry, revenue, employee counts, funding-round details, corporate phone numbers, locations, language, retail-location counts and organization hierarchy. Apollo also documents people and company search and enrichment capabilities, so the same broader platform can support a workflow that enriches an account and then finds associated contacts.
How Apollo meters the endpoint
The endpoint documentation states, verbatim, “Credit usage | 1 credit per organization”. That is an endpoint usage rule, not a statement of a complete subscription price. A bulk organization-enrichment endpoint accepts up to 10 companies per call, which can reduce request overhead but does not by itself remove credit consumption. Model your expected monthly matches, retries and no-match handling before estimating spend.
Access constraints to check
Some free-account endpoints require an Apollo account registered with a work email and may impose additional eligibility conditions. Do not assume that a test account has the same limits, fields or rate limits as a paid production account. Verify authentication, rate limits, error responses and the fields exposed to your plan in a staging project.
When Apollo is the sensible first test
- Your application needs both company enrichment and prospecting or contact workflows.
- You can usually supply a domain, website or social identifier rather than only a loosely formatted company name.
- You prefer a credit-based model that can be tied to individual organization lookups.
- You can accept a sales-oriented platform instead of a narrowly specialized funding or IP dataset.
People Data Labs: configurable matching and an IP-enrichment branch
People Data Labs describes a Company Enrichment API that retrieves profiles from its company dataset. Its matching controls are the differentiator: you can set match strictness and specify required fields rather than accepting a single opaque match decision. Inputs can include a company name, website, location, social profile or ticker.
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Freshness and what it does not prove
PDL says each returned record is the most up-to-date version in its dataset and that the dataset is refreshed each month. Those are vendor statements about its data process, not an independent guarantee that every field for your market is accurate or that a particular record changed within 30 days. Test field age and correctness separately from whether a record matched.
IP-to-company use cases
PDL also documents IP enrichment for IPv4 and IPv6 addresses. The related response can map an address to company and location data and include metadata about proxies, VPNs and related services. This makes PDL relevant to account-based web analytics, lead-routing signals and security-aware traffic classification, but an IP-to-company inference should be treated as probabilistic. Build an explicit “unknown” or “low-confidence” path rather than presenting every visitor-company association as verified identity.
When PDL belongs in the shortlist
- You need strictness or required-field controls to prevent weak matches from entering a database.
- Your source records use several identifier types, including tickers or social profiles.
- Your product combines company enrichment with IP intelligence.
- You want to measure match quality and field completeness independently instead of relying on a single vendor score.
HubSpot Breeze Intelligence: the CRM-centered route
For a team already operating in HubSpot, Breeze Intelligence can be the least disruptive path because enrichment is integrated with the CRM rather than delivered as a wholly separate data service. The Clearbit acquisition and the September 2026 comparison’s description of Breeze as the successor experience make HubSpot a logical first conversation for existing customers.
Why this can be the right fit
- Users need enriched fields to appear directly on CRM company or contact records.
- Governance, permissions and workflows are already managed in HubSpot.
- The team values an integrated operating model more than provider-neutral API infrastructure.
Why independent developers should verify before committing
A developer building a standalone application may need API keys, predictable quotas, field-level access and the ability to run enrichment outside a CRM. The reported end of new standalone Clearbit keys means you should not assume that a legacy integration can simply be re-created. Ask HubSpot for the current Breeze Intelligence packaging, API endpoints, account eligibility, rate limits, export rights and treatment of existing Clearbit customers. These details can vary by subscription and can change independently of the acquisition announcement.
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A third-party comparison identifies Crunchbase as the option to consider when funding rounds and investor history are the central requirement. That is a different buying decision from selecting a general firmographics API. If your application must answer questions such as which investors participated, when a round occurred or how a company’s financing history changed, a funding-focused dataset may be more valuable than a provider with a longer list of employee and location fields.
The reviewed material did not include primary Crunchbase API documentation or a verified price. Confirm that an API, the required financing fields and your intended commercial use are available before designing a production integration. Do not infer API terms from a web research interface or from a third-party comparison table.
How to interpret the published benchmark numbers
Openbenchmarks’ 2026 comparison says it ran nine APIs against the same 282 human-reviewed companies. It reported the following figures:
| Metric | Reported result | How to read it |
|---|---|---|
| Enrichment success rate | 89.0% for People Data Labs — Openbenchmarks, 2026 | Share of the benchmark cohort for which the benchmark considered enrichment successful; inspect the source methodology and definition of success before applying it to your records. |
| Field accuracy | 92.6% for Apollo — Openbenchmarks, 2026 | A field-level accuracy result, not a whole-record match rate or a guarantee for a particular geography, segment or field mix. |
| Median latency | 274 ms for People Data Labs — Openbenchmarks, 2026 | A median response-time result under that publisher’s test conditions; tail latency, network distance, batching and your request pattern can produce different results. |
These metrics are not interchangeable. A provider can lead one workflow metric and lose another, and a benchmark on 282 human-reviewed companies may not predict performance on your industry, country, company-size distribution or identifier quality. Use the figures as prompts for testing, not as vendor guarantees or a universal ranking.
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A short, controlled evaluation is more informative than a large synthetic test. Preserve the raw inputs and every provider response so you can audit why a record was accepted, rejected or corrected.
- Assemble a representative sample. Include your actual mix of company sizes, countries, industries, subsidiaries, renamed businesses, domains that redirect and records with missing identifiers. Have a human reviewer establish the expected company identity and key field values.
- Send identical inputs. For each provider, submit the identifiers your product really has. Do not give one service a cleaned domain while giving another only a misspelled name.
- Record match outcomes. Track exact match, plausible-but-ambiguous match, no match and wrong-company match separately. A wrong match is usually more damaging than a missing value.
- Score fields individually. Measure correctness and completeness for industry, revenue, employee count, location, hierarchy and any other field you plan to display or automate. Keep “missing” separate from “incorrect.”
- Measure freshness. Record the source or update date where exposed, then compare against known recent changes. A monthly refresh statement does not establish that every field is updated monthly.
- Measure performance at production shape. Test single requests and the batch sizes you expect, capture median and high-percentile latency, and include retries, rate-limit responses and timeouts.
- Calculate effective cost. Include paid matches, credits consumed by retries, no-match behavior, batch calls, minimum commitments and the price of fields or endpoints your workflow cannot omit.
- Set acceptance thresholds. Decide in advance what match rate, wrong-match rate, field completeness, latency and monthly spend your application can tolerate. Route records below the threshold to manual review or a second provider.
Implementation patterns that prevent bad enrichment
Use a stable internal identity
Store your own immutable company record ID and keep provider IDs as attributes. Domains, legal names and social URLs can change; replacing your internal key with a vendor identifier makes merges and provider migrations harder.
Keep input, decision and output separate
Persist the exact identifier sent, the provider’s match status or confidence information when available, the timestamp, the returned fields and your acceptance decision. This lets you re-run only failed or stale records without silently overwriting good data.
Make no-match and ambiguous-match states first-class
Never coerce a no-match response into an empty company record or select the first result from an ambiguous list. Expose a review queue, retain the original input and require a deliberate approval before writing a low-confidence match into downstream automation.
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Version your field mapping
Providers can rename fields, change enumerations or alter hierarchy behavior. Keep a versioned mapping layer between provider responses and your database schema, with tests for missing, null, deprecated and unexpected values.
Protect downstream users from inferred data
Label IP-derived company associations, estimated revenue bands and other inferred attributes as such. Sales, compliance and analytics users should be able to distinguish a provider assertion from a value verified by your organization.
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Cost, access and contract questions to ask
Public prices are volatile and the reviewed sources do not establish a complete, current price sheet for these providers. Ask every vendor the same questions:
- Is billing per successful match, per attempted match, per credit, per record, per seat or by negotiated volume?
- Does a no-match response consume a credit?
- Are retries, batch calls and asynchronous jobs metered differently?
- Which fields and endpoints are included in the plan you can actually purchase?
- Are there minimum commitments, overage charges or geographic restrictions?
- What work-email, domain-verification or account-approval requirements apply?
- What are the sustained and burst rate limits, and how are 429 responses communicated?
- Can you cache results, export them to your own database and retain them after cancellation?
- How are corrections, deletion requests and data-subject rights handled?
For Apollo, start with the documented one-credit-per-organization rule and the 10-company bulk limit, then obtain the subscription-specific credit price and rate limits. For PDL, obtain the current per-match price and determine whether strictness settings affect billing. For HubSpot, confirm which Breeze capabilities are included in your existing subscription. For Crunchbase, verify that the API and financing fields you need are commercially available at all.
Common failure modes and fixes
The domain resolves to the wrong company
Redirects, holding-company domains and international subsidiaries can produce plausible but incorrect matches. Send a second identifier such as a legal name, location or social profile when supported, and reject a result whose country or headquarters conflicts with your source record.
Company names create duplicates
Names vary by punctuation, legal suffix and transliteration. Normalize only for matching, retain the original string for display, and use a domain or social identifier whenever possible. Treat a name-only match as lower confidence unless your review sample shows it is safe for your segment.
Fresh data still contains stale fields
A provider-level refresh cadence does not mean every attribute changed at the same time. Store field-level update dates when available, set different re-enrichment intervals for volatile and stable attributes, and compare against known events such as acquisitions or funding announcements.
Latency looks good until traffic spikes
Median latency can hide queueing and rate-limit delays. Test concurrency, batch limits, timeout behavior and retry backoff. Use asynchronous enrichment for non-interactive jobs and reserve synchronous calls for user actions that genuinely need an immediate result.
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A migration breaks because the old Clearbit key still works in staging
Legacy credentials, account-level entitlements and production access can differ. Confirm the current HubSpot/Breeze path in the production account, inventory every field your code consumes and run a dual-write or shadow comparison before disabling the old integration.
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Decision guide
Choose Apollo first when
You need broad organization enrichment plus people search or sales workflows, can provide useful organization identifiers and are comfortable budgeting credits per organization. Validate the specific fields and account limits that your application requires.
Choose People Data Labs first when
Match controls, required fields, multiple identifier types or IP-to-company enrichment are central to the product. Its published monthly-refresh statement and benchmark figures should be tested against your own records rather than treated as universal guarantees.
Choose HubSpot Breeze Intelligence first when
HubSpot is already your operating system for customer data and the value of native CRM workflows outweighs the need for provider-neutral infrastructure. Confirm current API access and packaging before assuming Clearbit-era standalone behavior remains available.
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Investigate Crunchbase first when
Your defining requirement is financing and investor history. Verify API access, field coverage, licensing and price directly because the reviewed material does not establish those details.
Use a two-provider design when the failure cost is high
For regulated decisions, revenue-critical routing or large-scale account databases, a primary-plus-fallback architecture can be safer than choosing a nominal winner. Route only the records that fail your acceptance thresholds to the second provider, and monitor disagreement rather than automatically selecting whichever response arrives first.
Bottom line
The best Clearbit alternative in 2026 depends on the data job. Apollo is the broad sales-enrichment candidate, People Data Labs is the configurable matching and IP-enrichment candidate, HubSpot Breeze Intelligence is the CRM-native successor path, and Crunchbase is the funding-data specialist. None is proven by the available evidence to be universally superior. Build a small, human-reviewed bake-off using your identifiers and fields, price the real credit or match behavior, and confirm current access with the vendor before you migrate production traffic.
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