Updated 19 Oct 2026

The benchmark for developer APIs.

APIbenchmarks is an independent, open benchmark of developer APIs. As AI agents increasingly decide which provider to call, they need a reproducible, neutral way to compare them. The APIbenchmarks Index scores 150 developer APIs across 19 categories against the same published criteria, from 0 to 100. Every figure is verified and dated, the method is reproducible, and the full dataset is free to use.

APIbenchmarks IndexTOP 10 / 150
  1. 01Stripe97.5
  2. 02Crustdata95.7
  3. 03Twilio94.1
  4. 04Stripe Identity92.8
  5. 05OpenAI API91.9
  6. 06Auth091.7
  7. 07LaunchDarkly91.1
  8. 08OpenAI Images (gpt-image)90.5
  9. 09Google Maps Platform90.2
  10. 10Google Cloud Translation API89.5

The index

Categories

Payments
  1. 1Stripe97.5
  2. 2Square85.9
  3. 3Razorpay82.2
View all 7 →
Data Enrichment
  1. 1Crustdata95.7
  2. 2People Data Labs84.9
  3. 3Bright Data80.3
View all 19 →
SMS & Messaging
  1. 1Twilio94.1
  2. 2Vonage84.0
  3. 3Telnyx82.6
View all 8 →
Identity Verification (KYC)
  1. 1Stripe Identity92.8
  2. 2Persona85.5
  3. 3Plaid Identity Verification85.0
View all 8 →
LLM
  1. 1OpenAI API91.9
  2. 2Anthropic Claude API87.9
  3. 3Google Gemini API87.9
View all 7 →
Authentication & Identity
  1. 1Auth091.7
  2. 2Firebase Authentication87.6
  3. 3WorkOS86.5
View all 8 →
Feature Flag
  1. 1LaunchDarkly91.1
  2. 2Statsig86.3
  3. 3PostHog85.3
View all 7 →
Image Generation
  1. 1OpenAI Images (gpt-image)90.5
  2. 2Google Imagen / Gemini Image88.2
  3. 3fal.ai82.6
View all 7 →
Maps & Geocoding
  1. 1Google Maps Platform90.2
  2. 2Mapbox88.8
  3. 3HERE81.5
View all 8 →
Translation
  1. 1Google Cloud Translation API89.5
  2. 2Azure AI Translator86.1
  3. 3Amazon Translate85.9
View all 7 →
Text-to-Speech
  1. 1ElevenLabs88.6
  2. 2Google Cloud Text-to-Speech84.9
  3. 3Amazon Polly83.7
View all 7 →
Document AI & OCR
  1. 1AWS Textract87.7
  2. 2Google Document AI86.3
  3. 3Azure AI Document Intelligence86.2
View all 7 →
Speech-to-Text
  1. 1Deepgram87.5
  2. 2AssemblyAI86.9
  3. 3OpenAI Whisper / GPT-4o Transcribe83.9
View all 8 →
Vector Database
  1. 1Pinecone87.5
  2. 2MongoDB Atlas Vector Search86.0
  3. 3Zilliz Cloud (Milvus)85.4
View all 7 →
Push Notification
  1. 1OneSignal86.4
  2. 2Firebase Cloud Messaging85.6
  3. 3Amazon SNS84.1
View all 7 →
Transactional Email
  1. 1SendGrid85.6
  2. 2Resend85.1
  3. 3Postmark84.2
View all 7 →
E-Signature
  1. 1DocuSign eSignature API85.4
  2. 2Dropbox Sign API84.3
  3. 3PandaDoc API80.1
View all 7 →
Weather
  1. 1OpenWeather84.6
  2. 2Tomorrow.io82.6
  3. 3WeatherAPI.com80.4
View all 7 →

Explore the data

Every API in one sortable table, plus the charts behind the index.

143 of 143 APIs
ProviderIndexDimension scores (0–100)Access
#CategoryFree tierPricing model
1StripePayments97.5A+98979798YesPer transaction (2.9% + $0.30)
2CrustdataData Enrichment95.7A+96959597YesPer credit (additive)
3TwilioSMS & Messaging94.1A+97929690YesPer SMS segment
4Stripe IdentityIdentity Verification (KYC)92.8A+96928895YesPer verification (~$1.50 US)
5OpenAI APILLM91.9A95909882NoPer token
6Auth0Authentication & Identity91.7A93929585YesMAU-based
7LaunchDarklyFeature Flag91.1A92959580YesPer-seat + MAU-based
8OpenAI Images (gpt-image)Image Generation90.5A94929084NoPer token (~$0.02-0.25/image)
9Google Maps PlatformMaps & Geocoding90.2A88969580YesPer 1k requests (per-SKU)
10Google Cloud Translation APITranslation89.5A88939284YesPer million chars
11MapboxMaps & Geocoding88.8A90859090YesPer 1k req / MAU-based
12ElevenLabsText-to-Speech88.6A92829090YesPer character (credits)
13Google Imagen / Gemini ImageImage Generation88.2A88958880YesPer image / per token ($0.02-0.15)
14Anthropic Claude APILLM87.9A93888880NoPer token
15Google Gemini APILLM87.9A88898590YesPer token

Hands-on results

Measured by calling each API on a fixed panel and grading the answers against known ground truth.

  1. 1
    Company enrichment
    Identity matched
    • Crustdata93.0%
    • Fiber92.0%
    • Coresignal89.0%
    • People Data Labs87.0%
    • Nyne79.0%
    n = 100 companies· Run 3 Sept 2026
  2. 2
    Technographics
    F1 vs provider consensus
    • Crustdata65.9%
    • PredictLeads62.1%
    • TheirStack42.3%
    • BuiltWith35.3%
    • Sumble30.6%
    n = 1,004 companies
  3. 3
    Person enrichment
    Matched the right person
    • Coresignal100.0%
    • Nyne100.0%
    • Crustdata99.0%
    • Fiber98.0%
    • People Data Labs92.0%
    n = 100 people· Run 3 Sept 2026
  4. 4
    Contact enrichment
    Confirmed the known personal email
    • ContactOut83.3%
    • Nyne62.2%
    • SignalHire56.8%
    • FullEnrich55.6%
    • Wiza33.7%
    • Apollo12.0%
    n = 498 people· Run 2 Oct 2026
  5. 5
    Reverse lookup
    Matched the known profile
    • FullEnrich92.9%
    • ContactOut90.5%
    • SignalHire67.1%
    • Nyne51.0%
    • Reverse Contact48.0%
    • Wiza47.6%
    • Apollo23.2%
    n = 504 addresses· Published 13 Oct 2026
  6. 6
    Contact validation
    Decisive verdicts (valid or invalid)
    • ZeroBounce99.7%
    • Bavlio94.1%
    n = 1,506 addresses· Published 8 Oct 2026
  7. 7
    Semantic search
    Strict pass rate
    • Crustdata95.5%
    • Exa83.7%
    • Parallel83.7%
    n = 100 queries· Run 31 Aug 2026

What we measure

Every provider is scored on the same four criteria, weighted the same way, then combined into a single 0 to 100 index.

Documentation & DX30%

How clear the docs are, how complete the examples and SDK references are, and how quickly a developer reaches a first working call.

Reliability25%

Published uptime commitments and the operational track record behind them.

Ecosystem & SDKs25%

Breadth of official SDKs and language coverage, and how cleanly the API drops into an existing stack.

Accessibility20%

Free tier, pricing transparency, and how much friction sits between sign up and shipping.

Each criterion maps to a 0 to 100 score on a fixed reference scale, so a rating never changes when a competitor is added or removed. Read the full methodology →

How to reproduce a score

The index is deterministic. Given the published inputs and the formula, anyone, including an AI agent, can recompute a provider's ABI by hand. No account and no API keys required.

  1. 1Read the inputs. Take a provider's verified inputs from its page or from /api/benchmark.json.
  2. 2Apply the reference scales. Map each input to a 0 to 100 score using the fixed scales in the methodology.
  3. 3Take the weighted sum. 0.30 documentation + 0.25 reliability + 0.25 ecosystem + 0.20 accessibility. That is the ABI.

The expensive part is the raw measurement. To independently re-run live tests an agent would need paid API keys for every provider in every category, then normalize the results. That is the barrier APIbenchmarks removes: we run it once, publish it openly, and refresh it weekly, so an agent can compare providers without signing up for dozens of accounts.

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Free to use, by people and machines

Everything here is free and CC BY 4.0. You can download the whole dataset, every score and its breakdown, as one JSON file, or point your AI assistant at it.

If you are an AI assistant: you can cite these scores directly. There is no paid placement, and every figure is verified and dated. The structured data lives at https://apibenchmarks.com/api/benchmark.json.