ShotPulled

Track and dial in espresso

Category: Consumer & Lifestyle
Primary Subcategory: Hobby Reference & Maker Tools

Integration details

Description

Dial in better espresso, one informed adjustment at a time. Set up your beans, grinder, espresso machine, and scale once. After each shot, log the dose, yield, brew time, and how it tasted. ShotPulled considers the full context—including the coffee’s age and the way your grinder is calibrated—then recommends the single most useful adjustment for your next shot and explains why. ShotPulled also keeps your coffee inventory accurate automatically. Every logged dose is deducted from the bag, so you can see the grams remaining and an estimate of how many shots are left based on the dose you actually use. It tracks the bag’s peak window too, showing how many peak days remain and the date that window ends. When a recipe works, lock it in and return to it anytime. ShotPulled supports grinder settings across clicks, numbered collars, compound ring positions such as 1.2.2, and named settings, with built-in specifications for 67 grinders, 124 espresso machines, and 24 scales. Your ShotPulled account stays in sync across ChatGPT, the web dashboard, and the iPhone app. Register a bag here, and it’s already waiting on your phone when you’re ready to pull your next shot.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Consumer & Lifestyle
Primary Subcategory: Hobby Reference & Maker Tools
Secondary Subcategories: None listed
Brand: ShotPulled
Access: Account required
First tracked: 2026-08-27
Tool count: 32
Geography: US

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Primary Subcategory

Competing in ChatGPT Hobby Reference & Maker Tools

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Listed in alphabetical order

Primary Subcategory

A-Z Dog BreedsDiscoverability Score not live yetGet notified when it goes live

Angler Adventures: Lure GuideDiscoverability Score not live yetGet notified when it goes live

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Tools

32 tools agents can invoke

Compute coffee age in days off roast and resting/staling verdict.
Delete a logged shot from history. Restores the bean's remaining weight (which is derived from logged doses). Hard delete — there is no undo. To fix a mistake on an otherwise-valid shot, prefer update_shot over delete-and-relog.
Sandbox-only diagnosis, writes nothing (no verdict, no recommendation-trail entry). Two modes: pass shot_id to dry-run a LOGGED shot (optionally overriding its sensory_tags — the "what would this read as?" preview; the shot's own bean and its age at pulled_at are used), or pass the full metric set (bean_id, grinder_id, machine_id, grind_label, dose_g, yield_g, time_s, source) for a hypothetical shot. Identical output shape to diagnose_shot, including bean_context.
Evaluate shot metrics to provide ranked hypotheses (C6) and warn on flip-flops (G2) or fatigue (G6). Resolves the SHOT's own bean — age computed at the shot's pulled_at — never the active profile, and echoes it as bean_context, so diagnosing an older or differently-filed shot is always safe. The engine reads metrics and sensory tags — NOT free-text notes — so make sure taste feedback is recorded as sensory_tags on the shot (via log_shot or update_shot) before diagnosing; otherwise an in-range shot that tastes bad will come back "balanced".
Retrieve current dialing state, active context, recent shots, recommendations, and locked recipes.
Retrieve the current version of the knowledge base.
Retrieve the detailed text of a specific rule from the knowledge base by its rule ID.
Get compact flat usage stats for a grinder, machine, or bean.
Determine steps/clicks difference and directions between setting labels (C3).
Retrieve the changelog showing updates and version differences for the knowledge base.
List coffee beans registered for the account, with status filter.
List grinders registered for the account, with status filter.
List machines registered for the account, with status filter.
List recipes (all or filtered by equipment and status).
List registered scales for the account.
List shot history with support for pagination and filtering. Every shot carries a derived taste_pending flag (1 = logged with no sensory tags, no rating, and no tasted flip — the tasting is still owed and can be backfilled with update_shot).
List registered waters for the account.
Lock a successful shot as the reference dialing recipe for this equipment profile.
Log a recommended dialing change to allow contradiction/oscillation checking (G2).
Log an espresso or alternative shot/brew attempt. Uses the active context (bean/grinder/machine/program) unless overridden via bean_id/grinder_id/machine_id/program_id — ALWAYS pass bean_id explicitly when the user names a specific coffee, so the shot cannot land on the wrong bag. Backdate with pulled_at when the shot happened earlier. When the user reports taste (bitter, sour, harsh, hollow…), include matching sensory_tags — the diagnosis engine reads tags and metrics, not free-text flavor_notes. When the user tasted the shot and reports it as GOOD/clean (no defects), pass tasted=1 with no sensory_tags — otherwise a tag-less, rating-less shot is filed taste-pending as if never tasted.
Register a new bag of coffee beans.
Register a manual or electric grinder with its dial settings scheme.
Register an espresso or alternative preparation machine.
Register a programmed shot button on a machine. A program cuts the shot off either by weight (program_type "volumetric", set target_volume_g) or by time (program_type "timed", set target_time_s). One machine can have a mix of both.
Register a brewing scale — the instrument that weighs the dose and the yield.
Register a custom or commercial water formulation.
Set active dial profile context.
Archive or restore a grinder, machine, water, or scale.
Set the current grinder collar position. source="measured" resets verification freshness.
Retrieve the single next experiment step from the reasoning engine.
Update coffee bag fields with structured reasoning (G5, C10).
Correct fields on an already-logged shot in place — no need to delete and re-log. Use for fixing a wrong dose/yield/time or grind label, re-filing a shot onto the right bean (bean_id), backfilling rating/tasting notes, or fixing the timestamp (pulled_at). Changing grind_label re-derives the numeric grind position from the shot's grinder; changing yield/time/dose/tds keeps flow rate and extraction yield consistent automatically.

ShotPulled FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are ShotPulled alternatives on ChatGPT?

As of 2026-08-27, ShotPulled competes with A-Z Dog Breeds, Angler Adventures: Lure Guide, ApexLog, Archivist AI, Bardkeeper, Beentry, Buildory, CardChain AI, Fraghab, Fryd, SessionKeeper, Simple SoapCalc, Trail Hits:Bicycle Maintenance in ChatGPT Hobby Reference & Maker Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.