YepAPI review

YepAPI is a hosted API service, not a library or self-hosted server. An application sends requests to its endpoints and receives JSON; the vendor describes one API key and a consistent response format for data endpoints and AI models. It sits between your application and multiple external data and model services, so your code can call one provider for SEO research, Google results, scraping, social and e-commerce data, and AI inference.

The catalog lists 184 data endpoints across 12 categories and 285 AI models. Data categories include SEO and SERP, scraping and email, plus YouTube, TikTok, Instagram, Amazon, Walmart, Reddit and Twitter/X. AI offerings include chat, image, video and voice. This breadth can reduce the number of integrations in a product, but it also concentrates those calls behind a hosted provider. YepAPI bills by call or other metered usage rather than a subscription.

The homepage shows POST requests to endpoints such as /v1/seo/keywords/overview, /v1/serp/google and /v1/scrape, with JSON request bodies and responses wrapped in an ok field and data object. The same key is used across endpoints and models. Chat models are described as OpenAI-compatible; the homepage does not make that compatibility claim for every model type.

The vendor links to its documentation and an llms.txt file for AI agents. It also lists an MCP server and agent skills, and says Claude Code, Cursor, Codex and other agents can use the llms.txt to write calls. The homepage does not name language-specific SDKs or a CLI. Treat the documented HTTP API and agent integrations as the stated integration surfaces, and confirm SDK support, authentication details, error handling and versioning in the vendor's docs before choosing a production stack.

YepAPI uses pay-per-call or other metered billing, with no subscriptions, monthly fees or minimums. Signup includes $5 credit and requires no card, but the pricing material lists no ongoing free plan. The pricing page lists Google SERP calls from $0.01; the homepage also lists scraping from $0.01 and keyword overview from $0.03 per call. AI catalog starting prices are $0.04 per 1 million input tokens for chat, $0.01 per image, $0.02 per second of video and $0.0014 per 1,000 characters for voice.

Costs rise with the endpoints and models your application calls, so estimate from your expected volume and the individual endpoint prices rather than a monthly seat fee. Failed calls are not charged, and the pricing material lists no rate limits. Prepaid usage is charged per call or metered unit. The vendor does not list a monthly price, annual billing or add-ons in the pricing details. Check the endpoint catalog for current rates before launch, especially for workloads that generate video or make frequent model calls.

YepAPI is presented as a hosted API. The vendor does not publish an open-source licence or a self-hosted deployment option, so teams that require either should treat the service as closed and hosted-only unless YepAPI confirms otherwise. The vendor also does not publish data-export tooling or a migration path.

Lock-in depends on how much of your application adopts YepAPI-specific endpoints, request formats and returned data. The shared JSON envelope and one key simplify integration, but they do not make the underlying endpoint schemas interchangeable with another provider. Keep calls behind an internal adapter, store any data your application needs to retain, and avoid coupling core business logic to provider-specific response fields. Before signing off, ask the vendor about data retention, export, deletion and what happens to access if you stop paying.

The pricing material lists no rate limits and says failed calls are not charged. That is useful for a metered API, but it does not establish throughput capacity, uptime, retry behavior or an SLA. The vendor does not publish those details on the vendor's site; ask for them before routing critical workloads through the service. Homepage response-time figures are endpoint medians, not a reliability commitment.

Treat each endpoint as a dependency that can change or return errors. Confirm timeout guidance, quotas, model availability, versioning and incident communication in the docs. The vendor does not publish security certifications or compliance details here, so check its data handling, retention, deletion and subprocessors against your requirements. Keep your API key in a secret manager, set usage alerts if available, and track per-endpoint spend. Although failed calls are not charged and the pricing page lists no rate limits, application-level budgets and backoff remain important when usage is uncapped by a stated monthly plan.