ourpr.

Reviewed Jan 1, 2000.

• tools: 18 tools scanned
• metadata: scanned

No findings.

Tools (18)

• ourpr_list_courses

  List every running course published on ourpr., with its place, distance, climb and next race date. Each course is a MEASURED centerline built from recorded runs, with elevation from a public terrain model: USGS 3DEP 10 m in the US, and the city's own 1 m model in Berlin. It is not a course map traced by hand. START HERE. Every other course tool takes a slug, and this is where slugs come from. Args: - query (string, optional): Match the name and the place. Partial, case-insensitive. - kind ('race' | 'trail' | 'route', optional): Keep one kind. - course_type ('loop' | 'out-and-back' | 'point-to-point', optional): Keep one shape. - min_distance_mi / max_distance_mi (number, optional): Bound the distance in miles. - upcoming_only (boolean): Keep only courses whose race date has not passed. Default false. - limit (number): 1 to 50. Default 20. - offset (number): Skip this many. Default 0. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "tota

• ourpr_get_course

  Read one published course: its place, distance, climb, how it was measured, and which streets carry it. DELIBERATELY WITHOUT the elevation profile, the amenities and the centerline. Those are three more tools, because one course payload is about 83 KB and 91% of it is the profile. Args: - slug (string): From ourpr_list_courses. Example: 'boston-marathon'. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, // the event's own name, title sponsor included "place": string | null, "alternate_names": string[], // curated geographic aliases "kind": string, "course_type": string, "distance_mi": number, // the stated race distance "measured_mi": number | null, // the centerline ourpr. measured "next_race_date": string | null, "days_out": number | null, "climb_ft": number | null, "descent_ft": number | null, "min_ft": number | null, "max_ft": number | null, "ste

• ourpr_get_course_terrain

  The elevation profile of one course, sampled, plus every climb and descent ourpr. named on it. THIS IS THE TOOL FOR "what are the hills and where". Each named section carries the street it runs on, the miles it spans, its net rise or fall and its average grade. The elevation comes from a public terrain model sampled along the measured centerline (elevation_source names it), not from a watch barometer. A barometer drifts; the model is checked against published race figures. Args: - slug (string): From ourpr_list_courses. - points (number): Elevation samples to return, 2 to 200. Default 40. The stored profile holds up to 4,873. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "distance_mi": number, "climb_ft": number | null, "descent_ft": number | null, "min_ft": number | null, "max_ft": number | null, "steepest_pct": number | null, "climb_ft_per_mi": number | null, "elevation_source": string,

• ourpr_get_course_amenities

  Public drinking water and toilets on the line of one course, each placed at the mile it sits at. READ THIS LIMIT BEFORE YOU ANSWER. These come from OpenStreetMap: public taps and toilets somebody mapped near the route. It is a FREQUENCY difference, not a category one — a race day sets up many more stops than an ordinary day has. A mapped tap can also be seasonal, shut off or gone. Never present this as an aid-station plan, and never imply the count is guaranteed. It answers the training question instead: if I run this course on an ordinary day, where can I drink? Args: - slug (string): From ourpr_list_courses. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "distance_mi": number, "source": string, "is_race_aid_station_list": false, "water_count": number, "toilet_count": number, "longest_gap_without_water_mi": number | null, "longest_gap_from_mi": number | null, "longest_gap_to_mi": number | null,

• ourpr_get_course_route

  Where a course actually runs: its start, its finish, its bounding box, every mile marker, and the streets in the order you meet them. The GPX file is free and needs no account. Hand `gpx_url` to a person who wants the course on a watch. Args: - slug (string): From ourpr_list_courses. - include_polyline (boolean): Add the encoded centerline, about 9,800 characters. Default false. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "course_type": string, "distance_mi": number, "start": { "lat": number, "lng": number } | null, "finish": { "lat": number, "lng": number } | null, "bbox": { "min_lat": number, "min_lng": number, "max_lat": number, "max_lng": number } | null, "mile_markers": [{ "mile": number, "lat": number, "lng": number }], "streets_in_order": [{ "name": string, "from_mi": number, "to_mi": number }], "polyline": string | null, "gpx_url": string, "page_url": string } On an out-and

• ourpr_list_trail_systems

  List every trail system ourpr. maps. A trail system is a whole network of connected paths, measured end to end, not a single route through it. Args: - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "count": number, "trail_systems": [{ "slug": string, // "trinity-trails" "name": string, "region": string | null, // "Fort Worth, TX" "total_mi": number, // the whole network, all branches "page_url": string }] } Examples: - "What trail networks does ourpr. map?" -> no arguments - "How big is Trinity Trails?" -> read total_mi, or call ourpr_get_trail_system - Do not use when: you want one measured route. Use ourpr_list_courses with kind='trail'.

• ourpr_get_trail_system

  Read one trail system: how many miles of path it holds, how many ways were mapped, where it sits, and where the measurement came from. Args: - slug (string): From ourpr_list_trail_systems. Example: 'trinity-trails'. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "region": string | null, "total_mi": number, // every branch summed "mapped_ways": number | null, // OpenStreetMap ways in the network "source": string | null, // how the network and its coverage were built "bbox": { "min_lat": number, "min_lng": number, "max_lat": number, "max_lng": number } | null, "page_url": string } `total_mi` counts the whole network. It is not a distance anyone runs in one go. Examples: - "How many miles of trail are in Fort Worth?" -> slug="trinity-trails" - "Where does the network reach?" -> read bbox Error handling: - Returns the slug list suggestion when the slug is unknown

• ourpr_list_runs

  Training history between two dates, newest first: date, local start, name, type, miles, pace, time, elevation, average heart rate, and on a runs-only list Friel's efficiency factor and the heartbeats each mile took. Start here for totals, streaks, trends, or finding a run. For one run's splits, use ourpr_get_run with an id from here.

• ourpr_get_run

  One activity in full: mile splits with heart rate, cadence, calories, device. Id comes from ourpr_list_runs. For the profile along the route, use ourpr_run_stream.

• ourpr_run_stream

  A run's profile on a 10 m grid — elevation, heart rate, power, cadence — as min, average, max and coverage per channel, not every sample. Also each half by distance with its moving pace, heart rate and efficiency, the pace change between them, and the drift (aerobic decoupling, Pa:HR), also after the warm up. No profile is a normal answer for an indoor run.

• ourpr_run_laps

  The laps the watch recorded for one run — the runner's own button presses. Laps follow the workout; mile splits follow the mile.

• ourpr_rep_workouts

  Interval sessions found across the history, with reps and distances. Detection is conservative, so a session it misses is still in ourpr_list_runs.

• ourpr_detect_reps

  Whether one particular run was an interval session, and its reps.

• ourpr_similar_terrain

  Stretches of past runs matching a distance and climb — what the runner has already done that resembles a race they are training for.

• ourpr_training_blocks

  The goal race and its Block: race day, distance, goal time, which week of the Block today falls in, and miles for each week. Also the Blocks before past races, each with its result, weeks and peak week. A Block is the race-anchored Monday to Sunday weeks before a race.

• ourpr_list_races

  Every race ourpr. finds in the history, newest first, tune-ups included: date, name, distance, time, pace and run id. Also the fastest result at 5K, 10K, half marathon and marathon among them.

• ourpr_list_plans

  The runner's planned runs between two dates: day, name, miles, time, tag, the runner's note, whether a logged run fulfilled it, and whether ourpr. create wrote it. Read it before ourpr_plan_week so a new plan does not land on a day that already holds one.

• ourpr_plan_week

  Write one planned run, or a week of them, onto days still ahead. Each lands on the runner's week as a plan they can see, edit and remove. Needs a token made with the write scope and ourpr. create. Never logs a run.