What AI prospecting tools really cost: data credits, connectors and checking time

This guide is for founders, sales leaders and RevOps managers budgeting for an AI prospecting assistant: a tool that finds companies and contacts, enriches them and researches accounts. It lists the costs that pricing pages leave out, gives a published example of each (checked 30 October 2026), and turns them into one number you can compare across tools: cost per usable contact. If the tool also sends outreach, add the mailbox and review costs in AI SDR pricing. For what each type of tool does, see AI prospecting tools.

The full bill, line by line

We read each vendor's own pricing or documentation pages on 30 October 2026. Prices are in US dollars before tax.

Two notes. Clay's own page lists Launch at $167 and Growth at $446 a month in its plan table but $185 and $495 in its FAQ, so confirm the figure in your checkout; our Clay pricing breakdown explains the difference. And quote-only vendors bundle some of these lines, so ask for each one by name.

What a usable contact costs

A credit buys a reveal. Some of what you reveal will bounce, some will be the wrong person, and some will work at companies that don't fit. The number to compare is:

Cost per usable contact = total monthly cost ÷ (contacts revealed × verification pass rate × fit rate)

Illustrative numbers, using Lusha's published credit costs: revealing 1,000 contacts with an email each and phone numbers for 300 of them uses 1,000 + (300 × 5) = 2,500 credits. If 85% of the emails verify and 70% of those are the right person at a company that fits, you have 1,000 × 0.85 × 0.70 = 595 usable contacts. Every cost on the bill, including the checking time, is divided by 595, not 1,000.

Two levers move this number more than any discount:

• Reveal phones last. Reveal phone numbers only for contacts that passed your check. Revealing them up front for every contact in the example would have spent 1,500 of the 2,500 credits partly on people you then discard.
• Raise the fit rate. A tool whose records are right more often needs fewer reveals, less verification and less checking for the same usable output. Grade 50 random records per tool before you compare prices, as in the AI sales tool test.

Connector costs: the integration tier

The connector is often the line that changes which plan you buy. It reaches the bill in three ways:

• A plan upgrade. On Clay's plan table, moving from Launch to Growth for CRM sync and HTTP API access is $446 − $167 = $279 a month.
• A higher seat tier. LinkedIn describes Sales Navigator Advanced Plus as the plan for teams "who need advanced sales-tool and CRM integrations", and prices it by quote.
• Tasks on an automation tool. If two tools don't connect directly, every record passed through Zapier uses tasks. Zapier stops pay-per-task usage at three times your subscription until the next cycle, so a large import can halt mid-month.

Before you sign, write down the exact flow: where records start, which fields move, which direction, and how often. Then ask each vendor which plan supports that flow, in writing. One-way export into the CRM and two-way sync that keeps fields current are different features, often on different plans.

If you build your own with a model API

Teams with an engineer sometimes build a research agent on a model API instead of buying credits. The meters then become tokens and searches. Anthropic's Claude API, for example, charges $10 per 1,000 web searches plus token costs, and lists Claude Sonnet 5.5 at $2 per million input tokens and $10 per million output tokens.

Illustrative arithmetic; the search and token counts are our assumptions: researching one account with 15 web searches, 120,000 input tokens and 4,000 output tokens costs (15 × $0.01) + (0.12 × $2) + (0.004 × $10) = $0.15 + $0.24 + $0.04 = $0.43. A thousand accounts a month is about $430, before contact data, engineering time and checking. The searches are a third of the bill, so the number of searches per account is the setting to watch.

Compute is usually the small line. GTM-Bench (Blackpearl Group, June 2026) ran six generalist AI agents on 72 prospecting tasks and published what each run cost:

Our calculations from the paper's Table 11, reading its "B+" column as records graded B or better. Checking GPT-5.5's 1,763 records at one minute each would cost 1,763 × $0.90 = $1,587, more than ten times what the run cost. And the cheapest runs weren't the most useful: the paper notes that more spend "does not necessarily produce more A-grade records". Price a build on cost per usable record, the same as a purchase.

Worked example: two quotes, priced the same way

Illustrative example. The company, both quotes and the grading results are invented; Sales Navigator, ZeroBounce and BLS figures are the published ones above.

The team: Calder Field Software (calder.example) sells scheduling software to HVAC contractors. Two SDRs need 800 usable new contacts a month, with mobile numbers for 200 of them, synced to HubSpot.

The quotes: Tool A is $99 a seat a month with 1,000 credits a seat, 1 credit per email and 8 per mobile, extra credits at $0.10, and HubSpot sync only on its $149 plan. Tool B is $400 a month for the team with 4,000 credits, 1 credit per email and 5 per mobile, and HubSpot sync included.

The grading: Calder graded 50 random records from each trial. In both, 85% of emails verified. Of those, 60% of Tool A's records were the right person at a fitting company, and 80% of Tool B's. So 51% of A's reveals were usable and 68% of B's, which means A needs 800 ÷ 0.51 = 1,570 reveals a month and B needs 800 ÷ 0.68 = 1,180.

What it shows: Tool B's sticker price is twice Tool A's ($400 against $198 for two basic seats), yet it's about 18% cheaper per usable contact. The difference comes from the fit rate, through the checking line, which is the biggest cost for both. Calder also notes that Tool B leaves 1,820 credits unused each month; if they expire, that's money spent on nothing, so it asks whether a smaller allowance exists before signing.

Bebop is priced as one plan: $149 a month for 5,000 credits, with unlimited company searches and full access to contact details. Run the same worksheet on it during the 7-day free trial, as you would any other tool.

The cost worksheet

TARGET
Usable contacts needed: [800]   Share needing a phone: [25]%

GRADING (50 random records from the trial)
Verification pass rate: [ ]%   Fit rate (right person, fitting company): [ ]%
Usable rate = pass rate × fit rate = [ ]%
Reveals needed = usable contacts ÷ usable rate = [ ]

COSTS
1. Plan that includes our CRM connector: $[ ]
2. Credits: reveals × [email credits] + phones × [phone credits] = [ ] credits
   Over the allowance: [ ] × $[price per extra credit] = $[ ]
3. Enrichment or AI credits: [steps per record] × reveals × $[ ] = $[ ]
4. Verification: reveals × $[ ] = $[ ]
5. Automation tasks: [tasks per record] × reveals, plan $[ ] + overage $[ ]
6. LinkedIn seats: [ ] × $[ ] = $[ ]
7. Checking: reveals × [minutes per record] × $[0.90] = $[ ]
8. Unused credits that expire: [ ] credits, worth $[ ]

TOTAL: $[ ]   COST PER USABLE CONTACT: total ÷ usable contacts = $[ ]

What to ask a vendor about cost

• What does one credit buy for each data type, and is it charged on reveal or only when a match is found?
• Are we charged again for a contact we've already revealed, or when that person changes jobs?
• Which plan includes sync with our CRM? Is it one-way or two-way, and which fields?
• Do unused credits roll over? Do add-on credits renew automatically until we remove them?
• If we bring our own model or data provider keys, what still uses credits?
• What do the next 1,000 credits cost, and what does the next plan up cost?
• Is email verification included, and what happens to credits spent on addresses that bounce?
• What did a customer of our size and volume actually spend last quarter, all in?

Common mistakes

• Comparing credit prices across vendors. A credit is each vendor's own unit; compare cost per usable contact instead.
• Revealing phones for everyone. Phones are where credit pools run out.
• Finding the connector tier after you sign. Map the data flow first, then pick the plan.
• Pricing the software but not the checking. In most budgets the person is the biggest line.
• Buying annual before a month of real usage. Size credits from your own month, then commit.

Next step: decide whether the total is worth paying with the AI sales agent ROI worksheet.