Datacircle

Best phone validation API in 2026

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We benchmarked 3 phone validation API providers. We list all three, ranked by score. For each one, we show its top scoring plan, each part of the plan's score and what 1,000 phones cost.

  1. #1 seven.io: Phone validation API

    seven.io, top-up, Prepaid balance

    It returns 7 of the 9 key fields we check: Number, Formats, Validity, Type, Carrier, Porting and roaming, Place.

    Overall score
    63.2
    $ per 1,000
    $11.25
    Price score
    19
    • $ per 1,000 phones the provider can't check: the provider's pages don't say
    • Plans of this API we rank by price: 237
    • Plans cheaper per 1,000 phones than this plan: 186
    Data score
    86
    Cost to get started score
    93
    • How you pay: a top-up you pay first
    • Least to pay before your first result: no minimum, you top up any amount
    Bundle score
    83
    • Also pays for, from the same budget: MNP Lookup · CNAM Lookup · Send SMS · Voice / Text2Speech · WhatsApp Business
    Performance score
    100
    • Its median time per call in our benchmark of 25 October 2026, minus the baseline: 0.416 s
    • seven.io, HLR Lookup, the fastest benchmarked provider: 0.416 s
    • In our benchmark of 25 October 2026, we called this provider on all 20 of our numbers.
    • We scored this plan 0.8571 out of 1 in our benchmark, so its Data score is 86.

  2. #2 NeuralVerge: Phone validation API

    NeuralVerge, $50 monthly

    It returns 7 of the 9 key fields we check: Number, Validity, Type, Carrier, Place, Risk, Owner.

    Overall score
    55.9
    $ per 1,000
    $100.00
    Price score
    16
    • $ per 1,000 phones the provider can't check: $0
    • Plans of this API we rank by price: 237
    • Plans cheaper per 1,000 phones than this plan: 227
    Data score
    94
    Cost to get started score
    78
    • How you pay: monthly
    • Least to pay before your first result: $50
    Bundle score
    80
    • Also pays for, from the same budget: Search · AI Extract · AI research · data sources
    Performance score
    14
    • Its median time per call in our benchmark of 21, 23 and 25 October 2026, minus the baseline: 2.903 s
    • seven.io, HLR Lookup, the fastest benchmarked provider: 0.416 s
    • In our benchmark of 21, 23 and 25 October 2026, we scored this provider on 11 of our 20 numbers.
    • We scored this plan 0.9437 out of 1 in our benchmark, so its Data score is 94.

  3. #3 Byteplant: Phone validation API

    Byteplant, $499.90 pack

    It returns 5 of the 9 key fields we check: Formats, Validity, Type, Carrier, Place.

    Overall score
    40.1
    $ per 1,000
    $49.99
    Price score
    9
    • $ per 1,000 phones the provider can't check: the provider's pages don't say
    • Plans of this API we rank by price: 237
    • Plans cheaper per 1,000 phones than this plan: 212
    Data score
    64
    Cost to get started score
    55
    • How you pay: a pack you pay first
    • Least to pay before your first result: $499.90
    Bundle score
    50
    • Also pays for, from the same budget: Bulk Phone Verification (CRMs & Databases)
    Performance score
    44
    • Its median time per call in our benchmark of 23 and 25 October 2026, minus the baseline: 0.948 s
    • seven.io, HLR Lookup, the fastest benchmarked provider: 0.416 s
    • In our benchmark of 23 and 25 October 2026, we called this provider on all 20 of our numbers.
    • We scored this plan 0.6374 out of 1 in our benchmark, so its Data score is 64.

The Data score on phone validation APIs

How often the call judges a number right, out of 100: valid when it is real, invalid when it is fictional. Real numbers count for half the score and fictional numbers for the other half. A call scores 0 if it calls no fictional number invalid. It also scores 0 if it calls no real number valid. A call that never checks whether the number is in use scores 0. The digits alone show which numbers are fictional. A refused call counts as not right. Some providers ran on only part of the numbers. We compare each such provider with the providers that ran on all the numbers, using only the numbers that provider ran on. That way, easy numbers can't raise its score. We don't compare a provider with a call that scores 0. A call that scores 0 tells us nothing about which numbers are hard. When no provider ran on all the numbers, we score each provider on the numbers it ran on. We score a provider on every call we made to it for a number, so one run can't decide its score.

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