pinnodds vs SharpAPI: which Pinnacle odds feed fits your project?

Both services turn up when developers search for a Pinnacle API alternative, but they solve different problems. This page sets them side by side on the criteria we use across the site: data focus, transports, drop detection, pricing transparency and fit. We recommend pinnodds for Pinnacle-specific work and say so; we also try to be fair about where SharpAPI is the better tool. For the full field of seven services, see the alternatives comparison.

Facts about pinnodds come from its public documentation and plans endpoint. Facts about SharpAPI come from its public site, and where we could not confirm a detail we say "see provider" rather than guess. pinnodds also publishes its own view at pinnodds.com/sharpapi-alternative, which you should read knowing who wrote it.

At a glance

The short version: pinnodds is deep on one bookmaker, SharpAPI is broad across many. Everything else in the comparison follows from that difference.

Data focus: one book or many

pinnodds carries Pinnacle and nothing else, which lets it include the full board for each sport, quarter lines, period markets and special markets on every plan. SharpAPI covers many sportsbooks and treats Pinnacle as one of them, which is exactly right for cross-book comparison and less suited to work that needs every Pinnacle alternate line.

The distinction matters because of how Pinnacle is used. Modelers lean on Pinnacle as a fair-value reference, and the information is often in the ladder of alternate lines and their prices, not only in the main line. A single-book feed can afford to carry that ladder for every event. A multi-book feed has to make trade-offs on depth per book to keep its response sizes and update rates manageable, so check what SharpAPI returns for Pinnacle specifically before relying on it for alternate lines. Our guide on how to read Pinnacle lines explains what you would be missing.

The flip side is equally real. If your project compares Pinnacle with soft books to find discrepancies, a Pinnacle-only feed gives you one side of the comparison and you must integrate the other books yourself. SharpAPI does that integration for you.

Transports: REST, SSE, WebSocket

pinnodds offers REST polling with delta cursors, a Server-Sent Events stream for drop alerts, and a raw WebSocket that relays every upstream frame. SharpAPI's public material describes a REST API; whether it offers a push transport is something to confirm with the provider.

Transport determines how quickly your code learns about a change and how much it costs you in requests. Polling is simple and universal but is bounded by your rate limit; on pinnodds that ranges from 20 requests a minute on the trial and Stream plans to 10 or 30 requests a second on Pro and Scale. SSE and WebSocket deliver changes as they happen without a request budget, at the cost of a long-lived connection you have to keep alive and reconnect. pinnodds allows one concurrent SSE or WebSocket connection per key, and the raw WebSocket is an add-on at extra monthly cost on eligible plans. The polling versus push guide goes into the trade-offs, and pinnacleapi.dev/websocket has working connection code.

Odds-drop detection

pinnodds detects odds drops server-side and exposes them two ways: a REST buffer of recent drops filtered by minimum percentage and age, and an SSE stream that pushes each qualifying drop with the no-vig price attached. We did not find equivalent server-side detection documented for SharpAPI, so with SharpAPI you would diff successive snapshots yourself.

Doing your own detection is not hard, but it is not free either. You need to store the previous price per selection, handle events appearing and disappearing, decide what counts as a drop, and run the comparison at a rate that fits your quota. With a server-side buffer you skip all of that and query for drops above a threshold. The two pinnodds shapes differ slightly: REST drop rows carry a computed percentage, while SSE alerts give from and to prices and you derive the percentage. pinnodds explains the approach in How to detect odds drops.

Pricing transparency

pinnodds publishes its full plan list on an open endpoint, so its prices can be verified: paid plans start at $99 a month, with quarterly and semi-annual terms discounted and a WebSocket add-on priced separately. SharpAPI's prices should be read from the provider's own site; we do not quote them because we could not verify them from a machine-readable source.

Transparency matters for a practical reason: you want to know the cost of the rate limit your bot actually needs before you build around it. Our pricing page renders the live pinnodds plan table and explains which tier fits a poller, an alert bot and an arbitrage scanner. For SharpAPI, run the same exercise against their published plans.

When you compare prices between any two odds APIs, compare the unit as well as the number. One service may price by requests per second, another by monthly request quota, another by number of bookmakers or sports included, and add-ons such as push access or historical data may sit outside the headline figure. For pinnodds the units are clear: a per-minute or per-second REST limit, SSE included or not, and a separately priced WebSocket add-on. Establish the same facts for SharpAPI before you put the two numbers side by side.

Who should pick which

Pick pinnodds if Pinnacle is the center of your project: drop alerts, fair-value models, closing-line-value tracking or any bot that needs Pinnacle's alternate lines quickly. Pick SharpAPI if you need several sportsbooks in one normalized API and Pinnacle is one column among many.

Some teams use both: a multi-book API for the comparison layer and pinnodds as the authoritative Pinnacle reference. If that is you, start with the free tier of each. Get a free pinnodds trial key, then follow the get-started steps to make your first request.