liteLLM VS ReefAPI

ReefAPI's answer:

The gateway is Python and FastAPI, running in Docker with PostgreSQL and Redis behind it. The public API is plain HTTP and JSON, described by an OpenAPI 3.0 spec, so any HTTP client works and no SDK is required.

On top of that there is an MCP server so AI assistants can call the catalogue directly. The website and playground are built with Next.js.

ReefAPI's answer:

ReefAPI is one HTTP API over 185+ live web data sources rather than a toolkit for building your own scrapers. Every source is reached with the same request shape and returns the same JSON envelope, so adding a new source is a parameter change, not a new integration.

One API key and one shared credit pool cover all of them, so there is no separate contract, key or invoice per source. Credits do not expire, and calls that fail or return no data are not charged.

There is also an MCP endpoint, so AI assistants and agents can call the same 185+ sources directly without any glue code.

ReefAPI's answer:

Most alternatives sell you either a generic fetch endpoint that hands back raw HTML, or a single-site API you have to buy one source at a time. ReefAPI sits between the two: the sources are already parsed into consistent fields, and all 185+ of them come with one key and one balance.

Practical differences:

• Coverage breadth. Search engines, social platforms, e-commerce, real estate, job boards, travel, news, finance and company data are all in the same catalogue.
• Normalised output. A price, a listing or a review has the same shape whichever site it came from, so downstream code does not fork per source.
• Billing that matches usage. Credits never expire, lighter calls cost fewer credits than heavier ones, and failed calls cost nothing.
• MCP support, so AI agents can use the same catalogue without a custom wrapper.

If you only ever need one website, a single-site API may be cheaper. ReefAPI pays off when the list of sources is going to grow.

ReefAPI's answer:

Developers and small product teams who need live web data as an input to something else: price and catalogue monitoring, market and competitor research, lead and company enrichment, real-estate and job-market analysis, and AI agents or RAG pipelines that need current data rather than training-set memory.

The common thread is that data collection is not their product. They want the data as JSON and would rather not run and maintain per-site collection code themselves.

ReefAPI's answer:

ReefAPI started in early 2026 out of a repeated problem: every new project needed data from another website, and each one meant writing, hosting and then repairing a separate collector. The work was never the interesting part, and it broke every time a site changed.

The idea was to do that work once per source and expose it as a normal HTTP endpoint. One key, one credit balance, one response shape, and a catalogue that grows over time. It launched in February 2026 and now covers 185+ live sources across 14 or so industries.