Best Account Intelligence APIs in 2026 for B2B Sales

Key takeaways:

• An account intelligence API answers "which accounts should we work this week, and why," not "what is this company's employee count."
• Pricing splits into two camps: self-serve credit meters that start free or near it (PredictLeads at $0.04 per credit, Sumble at $99 per month, Diffbot at 10,000 free credits) and quote-only enterprise platforms that publish nothing at all (Harmonic, 6sense, Demandbase).
• The signal that matters is rarely firmographic. Hiring velocity, funding events, technology changes and executive moves are what tell you an account is in motion.
• Most teams end up wiring together three or four sources. A unified layer like ColdIQ collapses that into one key and one credit balance.

Account intelligence is the difference between a list and a plan. A list tells you that 4,000 companies match your ICP. Account intelligence tells you that 38 of them just posted a role you sell into, 12 raised a round last quarter, and 6 quietly ripped out the incumbent you replace.

That gap matters more than it used to. In 6sense's 2025 B2B Buyer Experience Report, a study of nearly 4,000 B2B buyers, the winning vendor was already on the buyer's day-one shortlist 95% of the time, and buyers now make first contact around 61% of the way through their journey, down from 69%. By the time someone fills in your form, the shortlist is mostly set.

An account intelligence api is how you get that knowledge into your own systems instead of a vendor's dashboard. This guide covers eleven of them, what each returns, what it costs, and where each falls down. Every price below came from the vendor's own pricing page in July 2026.

What Is an Account Intelligence API?

An account intelligence API is a programmatic endpoint returning structured, account-level context about a company: who they are, what they run, what changed recently, and what that change implies about their buying readiness.

It differs from a contact database in what it is organized around. Contact APIs are keyed to a person and return an email or phone number. Account intelligence APIs are keyed to a company, usually a domain, and return firmographics, technology detections, job postings, funding rounds, news events, executive changes and relationship graphs. That is also why the category sits apart from the broader sales intelligence tools market, which bundles dialers and engagement alongside company records.

It differs from generic company enrichment in one specific way: enrichment tells you what an account is, while account intelligence tells you what an account is doing. A company having 400 employees is a fact. That same company adding 30 engineering roles in six weeks after a Series B is a signal.

Some vendors also expose an account intelligence search api, which inverts the query. Instead of asking "tell me about acme.com," you ask "give me every company matching these conditions that changed in the last 30 days." That inversion turns a data source into a pipeline source, and it is worth checking for explicitly because not every provider offers it.

The Best Account Intelligence APIs in 2026

The eleven tools below take three shapes: unified layers routing across many providers, focused signal vendors that do one thing deeply, and enterprise ABM platforms selling data inside a bigger contract.

Ratings reflect fit for pulling account signals into your own stack, not platform breadth. A quote-only suite can be excellent and still be wrong for a team that wants a key this afternoon.

ColdIQ

Best for: Reaching every signal source at once

Overview: ColdIQ is a unified GTM data API. One key and one credit balance reach 40+ B2B data providers and 700+ endpoints, so the account-signal problem stops being an integration project and becomes a query.

The company intelligence layer routes to sources including People Data Labs, PredictLeads, Sumble, CompanyEnrich, LinkUp and OpenMart, while the intent layer adds Limadata and TheirStack. You call one endpoint and ColdIQ picks the provider by fit, cost and accuracy.

It ships three interfaces for the same data: a REST API with a full OpenAPI spec, an MCP server for Claude Code and other coding agents, and plain-language agent chat. The company behind it ran outbound for 300+ clients before productizing the stack, which is why the routing reflects what actually gets used.

Key features:

• One API key across 40+ providers, so adding a new signal source needs no new contract or credential
• 700+ endpoints spanning firmographics, job intelligence, technographics, intent and news
• MCP server for Claude Code, Codex and Cursor, so an agent can pull account context mid-task
• Automatic provider routing by fit, cost and accuracy instead of a hardcoded waterfall you maintain
• Responses return credits consumed and the source alongside the data, so cost attribution is built in
• 100+ prebuilt Claude Code skills covering targeting, enrichment chains and outbound sequences

Pricing: Starter is $99 per month for 2,000 credits, Pro is $199 per month for 5,000, and Scale is $499 per month for 15,000. Annual billing takes 30% off, unused credits roll over for three months, and Enterprise adds custom volume with an SLA. The playground is free to start with no credit card.

Pros: one credential instead of a dozen, provider routing handled for you, credits roll over three months, MCP access for agent workflows, transparent per-response cost and source

Cons: it is an aggregation and orchestration layer rather than its own data vendor, and it is built for people comfortable calling an API or working in a terminal

How to start using it:

• Open the free playground and run a company lookup without a credit card.
• Create an API key and set `COLDIQ_API_KEY` in your environment.
• Call a company intelligence endpoint with a domain and read the `source` and `credits` fields in the response.
• Add the MCP server to Claude Code if you want the same data available to an agent.
• Move to a paid plan once your monthly credit burn is predictable.

Why it's a good account intelligence api: Account intelligence is inherently multi-source, because no single vendor has hiring, funding, technographic and news signals at equal quality. ColdIQ is the only entry here that treats that as the default rather than something you assemble yourself.

Final verdict: If your problem is that account signals live behind five different contracts and three credit systems, this collapses it into one. If you only need one specific signal type and you need it deep, buy that vendor directly.

Start free on ColdIQ

PredictLeads

Overview: PredictLeads sells company intelligence built for machines, delivered through APIs, webhooks and flat files. Its focus is event data: job openings, news events and technology detections, with history back to 2015.

Key features:

• Job openings, news events and technology detection endpoints that return up to 1,000 records per call
• Real-time webhooks so signals push to you instead of requiring polling
• Point-in-time historic data from 2015 for backtesting which signals actually predicted revenue

Pricing: The first 100 API calls each month are free. Beyond that it is pure pay-as-you-go: $0.04 per credit from 101 to 5,000 calls with a $40 monthly minimum, dropping to $0.02, then $0.01, then $0.004, and $0.002 above 500,000 calls. Enterprise flat-file access is quote-only.

Pros: genuinely usable free tier, one credit per request regardless of records returned, aggressive volume discounts

Cons: credits do not roll over, discovery endpoints bill per company returned rather than per request, hitting the cap returns a hard 402 rather than throttling

Why it's a good account intelligence api: The pricing model rewards exactly the access pattern account intelligence needs, which is many small requests across a wide account list rather than a few large pulls.

Final verdict: The best value in the category if your signals are hiring, news and technology changes. Check PredictLeads

Sumble

Overview: Sumble's pitch is knowing your accounts like you work there. It maps the projects teams run, who reports to whom, and which technologies sit inside which job functions, then pushes signals when things shift.

Key features:

• Project-based search filters that surface what an account is building, not just what it owns
• Reporting hierarchy and people-in-organization mapping for finding the actual owner of a project
• An MCP server on the Pro plan, so an agent can query account context directly

Pricing: The free tier gives 500 credits per month and 7 signals per week, and signing up with a work email adds 30 days of Pro. Pro is $99 per month for 9,900 credits, up to 20 signals per day and 10 pages of results. Enterprise adds Salesforce, Snowflake and Databricks integrations.

Pros: unusually generous free tier, project-level detail that firmographic vendors miss, MCP server included at $99

Cons: free tier shows only the first page of results, Pro's credit ceiling is fixed rather than sliding, coverage skews toward technology employers

Why it's a good account intelligence api: Project and hierarchy data answers the "who do I actually talk to and about what" question that firmographics leave open.

Final verdict: The most interesting $99 in this list if you sell technical products into large organizations. Check Sumble

Salesmotion

Overview: Salesmotion aggregates account signals from 1,000+ sources, returning raw data and AI summaries. Public-market material is the differentiator: earnings calls, SEC filings and court records sit alongside hiring and news feeds.

Key features:

• Eight endpoints covering earnings calls, firmographics, news, clinical trials, SEC filings, hiring signals, court records and research briefs
• Every response pairs structured JSON with an AI summary, so it drops into an LLM workflow without parsing
• Lookalike account discovery from your existing customer list

Pricing: The platform is $85 per month for an individual, billed monthly, cancel anytime. The API path is separate and self-serve: 100 free credits per month, no credit card, pay per successful result, and credits roll over three months. Full API and MCP access on the platform sits on the custom tier.

Pros: filing and earnings coverage almost nobody else has, credits roll over, free tier needs no card

Cons: no published per-credit API rate, the strongest API and MCP access is gated to a quote-only tier, uptime and latency figures are vendor-published rather than independently measured

Why it's a good account intelligence api: If you sell into public companies or regulated industries, earnings-call and filing language is the earliest reliable signal you can get.

Final verdict: A specialist pick that earns its place when your ICP files with the SEC, and an awkward one when it does not.

Harmonic

Overview: Harmonic calls itself the startup discovery engine, and the coverage backs it: 35 million company records and 195 million people records, refreshed weekly, across an API, a console and bulk delivery.

Key features:

• Enrich any company or person, plus discovery endpoints for finding new ones matching a profile
• Bulk delivery straight into S3, BigQuery or Snowflake for teams that model in the warehouse
• Financing and investor data available as an add-on for funding-triggered plays

Pricing: Harmonic publishes no prices. All three products, the enterprise console, API access and bulk data, route to a "Get pricing" conversation, and financing data plus no-code CRM sync are priced as add-ons on top.

Pros: deepest private-company and startup coverage in this list, weekly refresh, warehouse-native delivery

Cons: no public pricing of any kind, add-on structure makes total cost hard to predict, coverage is weakest exactly where enterprise incumbents are strongest

Why it's a good account intelligence api: Startup data ages faster than anything else in B2B, and a weekly refresh across 35 million companies is a real answer to that.

Final verdict: The right call if you sell to venture-backed companies and can absorb a sales cycle to find out what it costs.

Ocean.io

Overview: Ocean.io frames the problem as matching rather than listing. Point it at your best customers and it finds accounts that genuinely resemble them, then returns contact data from the same credit pool.

Key features:

• Lookalike search that scores similarity rather than filtering on firmographic ranges
• A single credit system shared across the platform and the API
• Verified emails and direct phone numbers available on the same balance

Pricing: One credit pool covers everything, priced by action: a verified email costs 1 credit, a direct phone costs 10, and a search result costs 0.2. The site's own plan calculator puts roughly 1,700 credits per month at about $99 per month on the yearly tier.

Pros: similarity matching is genuinely better than filter-stacking for finding lookalikes, transparent per-action credit costs, one balance across search and contact data

Cons: named plan tiers sit behind an interactive calculator rather than a published table, phone credits burn 10x faster than email, coverage is thinner outside Europe and North America

Why it's a good account intelligence api: Lookalike discovery is the cheapest form of account intelligence, because your own closed-won list is the highest-quality training signal you own.

Final verdict: Strong for ICP expansion, less suited to monitoring accounts you already know.

The Companies API

Overview: A flat, high-throughput company database you query by domain. Every tier includes the full feature set and all roughly 50 million companies, with plans differing only on credits and request rate.

Key features:

• Domain in, structured company profile out, with no tier-gated fields
• Request rates from 50 per second on the entry plan up to 1,000 per second on Enterprise
• Flat overage pricing so bursts do not trigger a renegotiation

Pricing: Startup is $95 per month for 50,000 credits with extras at $2.50 per 1,000. Scaleup is $295 per month for 250,000 credits at $1.75 per 1,000. Enterprise is $595 per month for 500,000 credits at $1.50 per 1,000. Annual billing gives two months free.

Pros: no feature gating between tiers, unusually high request ceilings, predictable overage rates

Cons: firmographic rather than event-driven, so it tells you what an account is and not what changed, and coverage of very small businesses is uneven

Why it's a good account intelligence api: Account intelligence needs a reliable firmographic spine to hang signals on, and this is a cheap, fast one.

Final verdict: Buy it as the base layer, not as the signal layer.

Diffbot

Overview: Diffbot builds its Knowledge Graph by crawling the web and applying NLP rather than licensing lists. That shapes its coverage differently from everyone else here, and it exposes the whole graph through query and enhance endpoints.

Key features:

• Knowledge Graph search and enhance, plus Extract, Bulk Extract, Crawl and Natural Language endpoints on every tier
• Natural-language querying so you can express an account filter without learning a query DSL
• A crawl-built graph that surfaces relationships between companies, people and events

Pricing: The free tier is genuinely free forever at 10,000 credits per month and 5 calls per minute with no card. Startup is $299 per month for 250,000 credits at $0.001 each, Plus is $899 per month for 1 million credits at $0.0009, and Enterprise is custom. Overages bill pro rata at the plan rate.

Pros: the most generous free tier in this list, no long-term contract, independent data provenance rather than resold lists

Cons: graph querying has a steeper learning curve than a REST lookup, entity resolution needs checking on smaller companies, 5 calls per minute makes the free tier fine for testing and useless for production

Why it's a good account intelligence api: When every other vendor licenses from a similar pool, a differently sourced graph finds accounts the others miss.

Final verdict: The best option for teams that want to build their own account model rather than consume someone else's scores.

HubSpot Data Hub

Overview: HubSpot folded Clearbit into Data Hub, putting company enrichment, data quality tooling and datasets inside the CRM most mid-market teams already run.

Key features:

• Native enrichment that writes straight to CRM records with no sync layer to maintain
• Data quality tooling that flags duplicates and formatting drift across the database
• Datasets and reporting that let account signals drive HubSpot workflows directly

Pricing: There is a free tier, Starter begins at $10 per seat per month for new customers, Professional starts at $800 per month, and Enterprise starts at $2,000 per month. Clearbit's old pricing page now redirects into HubSpot's.

Pros: zero integration work if you already run HubSpot, enrichment feeds workflows natively, clear upgrade path from free

Cons: value collapses if your CRM is not HubSpot, the jump from Starter to Professional is steep, signal depth is shallower than the specialists here

Why it's a good account intelligence api: The fastest path from a signal to an actual sequence is the one that never leaves your CRM.

Final verdict: An easy yes for HubSpot shops and an easy no for anyone else.

6sense

Overview: 6sense is a predictive ABM platform modeling buying stage from intent signals, then exposing accounts, scores and workflows to sales and marketing. Its framing: signals tell you what, 6sense tells you why.

Key features:

• Predictive account scoring that ranks accounts by modeled buying stage rather than raw activity
• Intent data blended with company and person search for building target lists
• Sales alerts and workflow automation so scores trigger action instead of sitting in a dashboard

Pricing: Custom across the board. 6sense publishes no self-serve tier and no public rate card, and pricing is quoted against account volume, intent topics and seats.

Pros: the modeling layer is genuinely more sophisticated than raw signal feeds, mature Salesforce and marketing-automation integrations, strong enterprise support

Cons: quote-only with annual commitments, implementation typically runs weeks rather than hours, overkill for teams below a few thousand target accounts

Why it's a good account intelligence api: Scoring is the hard part of account intelligence, and this is one of the few vendors that sells the model rather than the raw feed.

Final verdict: Right for enterprise ABM programs with the headcount to operate it, wrong as a first API.

Demandbase

Overview: Demandbase sells account-based go-to-market as one coordinated system spanning sales intelligence, advertising, buying groups and data, with Demandbase One covering sales and marketing together.

Key features:

• Buying-group identification that maps the full committee rather than a single lead
• Advertising activation so account lists can be targeted directly rather than exported
• Data and sales intelligence available as separate purchase paths from the core platform

Pricing: Custom. The public pricing page describes a platform fee plus a flat per-user fee, with Data and Advertising as separate purchase paths, but publishes no dollar figures.

Pros: buying-group modeling is genuinely differentiated, advertising and sales share one account list, established enterprise footprint

Cons: platform fee plus per-user fee gets expensive fast, the API is a component of a suite rather than a standalone product, heavier than most teams need

Why it's a good account intelligence api: Buying groups are closer to how B2B decisions actually get made than account-level scores are.

Final verdict: A full ABM commitment rather than a data source, and priced accordingly.

How We Chose These Account Intelligence APIs

Every tool here had to clear four bars, and several well-known names did not.

It had to expose a real programmatic interface, since a dashboard with a CSV export is not an API and neither is a Chrome extension. Pricing had to be verifiable on the vendor's own page, or the entry had to say plainly that none is published: Harmonic, 6sense and Demandbase publish nothing, and we say so rather than repeating third-party estimates as fact.

The data had to be account-shaped, which excluded contact-first tools that return a company name incidentally. We also checked each vendor's live site rather than trusting a category listing, which removed candidates whose current product no longer matches their reputation. Treat every figure here as a July 2026 snapshot and confirm it before signing anything.

What an Account Intelligence API Should Actually Return

Not all signals are worth the credits. The useful ones are observable from outside the account and correlate with a budget decision.

Signals That Predict Budget

Hiring is the most reliable public signal in B2B, because roles get posted before tools get bought. A company posting three RevOps roles is telling you about its next twelve months of software spend. Funding events work similarly, though everyone else sees those too.

Technology changes are the strongest displacement signal. An account adding a category tool it did not run last quarter has made a decision, and one removing a tool has opened a gap. Executive moves matter for the same reason: new leaders replace stacks. Our B2B buying signals guide covers how to weight these against each other when several fire at once.

Signals That Sound Useful and Are Not

Raw website visits without account resolution tell you almost nothing actionable. Generic intent topics bought from a shared cooperative are visible to every competitor buying the same feed, which is what one seller on r/B2BSales was getting at in a thread on testing data providers, arguing that unique signals like hiring velocity or public repository activity beat commoditized feeds because "when you try to run things on commoditized data, you get commoditized results." Treat that as one practitioner's view rather than a benchmark, though the logic holds. Our roundup of intent signal tools breaks down which sources are genuinely proprietary and which are resold.

The practical test for any signal is whether you would change your outreach because of it. If not, you are paying for decoration.

How Do You Choose the Right Account Intelligence API?

Start from the signal you actually need, not the vendor with the longest feature list.

If you sell technical products into large organizations, project-level and hierarchy data is the differentiator, which points at Sumble and Diffbot. If you sell into public companies, filings and earnings language get you there earliest, which points at Salesmotion. If your ICP is venture-backed startups, refresh rate beats everything, which points at Harmonic. Needing three of those at once is the argument for a unified layer rather than three contracts.

Budget then narrows it. Under $100 per month you have real options: PredictLeads on pay-as-you-go, Sumble at $99, Diffbot's free tier, ColdIQ at $99. Between $199 and $599 you can run a proper multi-source setup. Above that you are in enterprise ABM territory, buying a program rather than an endpoint.

Team shape matters too. A team with engineering support can compose raw feeds and build its own scoring, and our walkthrough of AI lead scoring covers what that model needs to hold. A team without it should buy something with the model included, because an unused raw feed is worth nothing.

The trap worth naming is buying the platform before you know which signal moves your number. Forrester's research on self-service buying found 63% of sales leaders expected digital buying behaviors to significantly affect their organization within two years, while only 37% called digitizing the buyer's journey a top priority. That gap is where six-figure platform contracts go to die. Start with an API and a hypothesis, then scale what works.

What Does an Account Intelligence API Cost?

Published prices in this category run from $85 to $899 per month, roughly a tenfold spread, and quote-only platforms sit above that with no public figure at all. The spread is mostly about who does the modeling. Raw feeds are cheap because you build the intelligence. Platforms are expensive because they sell it to you finished.

Two mechanics distort those numbers more than the headline price does. The first is credit expiry: PredictLeads credits do not roll over at all, while ColdIQ and Salesmotion both roll unused credits for three months. On a spiky workload, expiry costs more than the rate.

The second is what a credit buys. PredictLeads charges one credit per request whether it returns one record or a thousand, which is far cheaper than per-record pricing at volume, while Ocean.io charges 0.2 credits per search result and 10 per phone number. Comparing headline prices without normalizing for that is how teams get surprised by their second invoice.

How to Wire One In Without Wasting a Quarter

Self-serve tools return a first useful response in minutes and reach production in days. Enterprise platforms take four to eight weeks once data mapping and CRM configuration are counted. The sequence that avoids wasted spend looks like this:

• Generate a key and call it against a company you know well, so you can judge the response.
• Run 100 accounts from your closed-won list through and count how many return your signal.
• Backtest against a period whose outcome you already know, to see whether the signal preceded the deals.
• Wire the winning signal into one workflow, a Slack alert or a CRM property, and leave the rest off.
• Expand coverage only after that, because breadth before validation multiplies noise.

Step three is the one teams skip and the one that decides whether any of this works. A signal firing on 80% of your accounts is not a signal, it is a background rate.

Where Account Intelligence Stops and Contact Data Starts

Account intelligence tells you which company to work and why now. It does not tell you who to email, and conflating the two is the most common budgeting mistake here.

Most tools in this list return account-level records only. Ocean.io and HubSpot Data Hub also return contact details, and Salesmotion includes verified contacts in its platform tier. The rest expect you to hand off to a contact-data provider once an account is worth working.

Design that handoff deliberately: run account intelligence broadly and cheaply across your market, then spend contact credits only on accounts that cleared a signal threshold. Enriching contacts first and filtering later is how teams burn expensive per-contact credits on accounts that were never in market.

It is also where this connects to a wider ABM strategy, since accounts clearing your threshold are the ones worth coordinated spend. The full chain from sourcing through activation is covered in our guide to lead generation APIs.

If you want the whole chain behind one credit balance, that is exactly the problem a unified API layer is built for. Otherwise, budget for both and connect them at the point where an account gets promoted.

Picking Your First Account Intelligence API

If you are starting from nothing, spend nothing for two weeks first. Diffbot's 10,000 free credits, PredictLeads' 100 free calls and Sumble's 500 free credits are enough to test whether the signal you believe in shows up in your accounts.

Once you know which signal matters, buy narrow and deep rather than broad and shallow. A single well-chosen feed wired into one workflow beats four feeds nobody reads.

Then scale on evidence. Needing hiring data from one vendor, technographics from another and news from a third is the point where a unified layer stops being a convenience and starts being cheaper. ColdIQ's free playground tests that without a card, and its API directory and data sources pages list what routes where.

Whatever you pick, treat the first ninety days as an experiment with a number attached. Account intelligence is only worth what it changes about who your reps call on Monday.