id stringlengths 10 46 | question listlengths 1 1 | involved_classes listlengths 1 6 | verifier_type stringlengths 13 32 ⌀ | initial_config stringlengths 464 109k | flakiness_config stringclasses 0
values |
|---|---|---|---|---|---|
ptc_grocery_gift_card_0 | [
[
{
"role": "user",
"content": "I have gift card balances at several grocery delivery stores. I want to buy everything on my shopping list while spending as little cash out-of-pocket as possible. Each store I order from charges a delivery fee on top of item prices. A gift card covers part or all of ... | [
"GroceryDeliveryAPI"
] | grocery_gift_card | {"GroceryDeliveryAPI": {"shopping_list": ["eggs", "milk", "bread", "chicken", "rice", "avocados", "pasta", "olive oil", "butter", "cheese", "yogurt", "salmon", "broccoli", "tomatoes", "onions", "garlic", "potatoes", "carrots", "apples", "bananas", "orange juice", "cereal", "steak", "wine", "salad kit", "ice cream", "al... | null |
ptc_grocery_set_cover_0 | [
[
{
"role": "user",
"content": "I need to get every item on my shopping list delivered, but no single store carries everything. Each store I order from charges a separate delivery fee. Find the smallest group of stores that together stock every item on my list. If there are ties in the number of sto... | [
"GroceryDeliveryAPI"
] | grocery_set_cover | {"GroceryDeliveryAPI": {"shopping_list": ["eggs", "milk", "bread", "chicken", "rice", "avocados", "pasta", "olive oil", "butter", "cheese", "yogurt", "salmon", "broccoli", "tomatoes", "onions", "garlic", "potatoes", "carrots", "apples", "bananas", "orange juice", "cereal", "steak", "wine", "salad kit", "ice cream", "al... | null |
ptc_grocery_single_vs_split_0 | [
[
{
"role": "user",
"content": "I want to buy everything on my shopping list. Compare two options: (A) ordering everything from whichever single store gives me the lowest total cost including item prices, delivery fee, and service fee; versus (B) splitting my order across exactly three stores to min... | [
"GroceryDeliveryAPI"
] | grocery_single_vs_split | {"GroceryDeliveryAPI": {"shopping_list": ["eggs", "milk", "bread", "chicken", "rice", "avocados", "pasta", "olive oil", "butter", "cheese", "yogurt", "salmon", "broccoli", "tomatoes", "onions", "garlic", "potatoes", "carrots", "apples", "bananas", "orange juice", "cereal", "steak", "wine", "salad kit", "ice cream", "al... | null |
ptc_multi_group_dinner_0 | [
[
{
"role": "user",
"content": "My friends and I are choosing between six restaurants for dinner tonight. I'm at 200 Folsom St, San Francisco, CA, my friend Mia is at 456 Grand Ave, Oakland, CA, and my friend Jake is at 789 Ashby Ave, Berkeley, CA. We're considering: The Italian Place, Tokyo Garden,... | [
"YelpAPI",
"GoogleMapsAPI",
"UberAPI"
] | multi_group_dinner | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T18:00:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "The Italian Place", "address": "472 Market St, San Francisco, CA", "rating": 4.5, "re... | null |
ptc_multi_meeting_point_0 | [
[
{
"role": "user",
"content": "My friend and I are coming from different neighborhoods and want to meet for dinner at whichever restaurant minimizes our total Uber cost. I'm at 742 Evergreen Terrace, San Francisco, CA and my friend is at 1234 Broadway, Oakland, CA. We're considering these five rest... | [
"YelpAPI",
"GoogleMapsAPI",
"UberAPI"
] | multi_meeting_point | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T18:00:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Bella Vista", "address": "191 Market St, San Francisco, CA", "rating": 4.5, "review_c... | null |
ptc_org_chart_largest_manager_0 | [
[
{
"role": "user",
"content": "Look through the org chart history and tell me which manager has supervised the largest number of different employees overall. Count someone only once under the same manager, even if they reported to them during multiple periods. Respond with a JSON object with keys m... | [
"OrgChartAPI"
] | exact_json_match | {"OrgChartAPI": {"employees": [{"employee_id": "e1", "employee_name": "Alice"}, {"employee_id": "e2", "employee_name": "Bob"}, {"employee_id": "e3", "employee_name": "Carol"}, {"employee_id": "e4", "employee_name": "Eve"}, {"employee_id": "e5", "employee_name": "Dave"}, {"employee_id": "e6", "employee_name": "Grace"}, ... | null |
ptc_org_chart_most_teammates_0 | [
[
{
"role": "user",
"content": "Look through this project history and tell me which person has worked with the largest number of different teammates overall. Two people are teammates if they reported to the same manager during overlapping time periods. Count each teammate only once, even if the over... | [
"OrgChartAPI"
] | exact_json_match | {"OrgChartAPI": {"employees": [{"employee_id": "e1", "employee_name": "Alice"}, {"employee_id": "e2", "employee_name": "Bob"}, {"employee_id": "e3", "employee_name": "Carol"}, {"employee_id": "e4", "employee_name": "Eve"}, {"employee_id": "e5", "employee_name": "Dave"}, {"employee_id": "e6", "employee_name": "Grace"}, ... | null |
ptc_queries_calendar_compact_oneononones_0 | [
[
{
"role": "user",
"content": "Schedule four 30-minute one-on-ones for me with Alice, Bob, Charlie, and Diana next week. Use the minimum number of days, and among those schedules minimize the total idle time between consecutive meetings on the same day. If there is still a tie, choose the schedule ... | [
"EnterpriseCalendarAPI"
] | compact_scheduling | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-05-18T20:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-05-19", "current_week_end_date": "2025-05-23", "current_user_name": "Riley"}, "employees": [{"id": "riley", "display_name": "Riley", "timezone": "America/New... | null |
ptc_queries_calendar_five_attendees_0 | [
[
{
"role": "user",
"content": "Next week, give a possible 45-minute meeting time for Alice, Bob, Charlie, Diana, and Eric. Each person may only meet between 10 a.m. and 3 p.m. local time on their own calendar, and you should prefer times with the fewest conflicts against their existing events. Repl... | [
"EnterpriseCalendarAPI"
] | slot_feasibility | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-03-19T14:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-03-17", "current_week_end_date": "2025-03-23"}, "employees": [{"id": "alice", "display_name": "Alice", "timezone": "America/New_York"}, {"id": "bob", "displa... | null |
ptc_queries_calendar_fragmented_weekday_0 | [
[
{
"role": "user",
"content": "Look at my calendar for the next four weeks and tell me which day of the week tends to have the most fragmented free time — that is, the most separate free-time gaps between meetings during a standard 9 AM – 5 PM workday. Respond with a JSON object with keys day_of_we... | [
"EnterpriseCalendarAPI"
] | exact_json_match | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-05-04T20:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-05-05", "current_week_end_date": "2025-05-09", "current_user_name": "Nora"}, "employees": [{"id": "nora", "display_name": "Nora", "timezone": "America/New_Yo... | null |
ptc_queries_calendar_free_block_rescheduling_0 | [
[
{
"role": "user",
"content": "I have a 1-hour meeting tomorrow afternoon called 'Q2 Planning Sync' with Morgan, Taylor, and Riley. Could you check whether moving it to a different 1-hour slot tomorrow — within a 9 AM to 6 PM workday in my local timezone — would create a longer continuous free bloc... | [
"EnterpriseCalendarAPI"
] | reschedule_optimization | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-04-14T10:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-04-14", "current_week_end_date": "2025-04-20", "current_user_name": "Jordan"}, "employees": [{"id": "jordan", "display_name": "Jordan", "timezone": "America/... | null |
ptc_queries_calendar_interview_matching_0 | [
[
{
"role": "user",
"content": "I need to schedule interviews for two candidates, Amy and Ben, with four interviewers: Iris, Jake, Karen, and Leo. Each candidate needs exactly two one-hour interviews, and each interviewer conducts exactly one interview. All interviews must happen this Tuesday within... | [
"EnterpriseCalendarAPI"
] | interview_matching | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-05-12T09:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-05-12", "current_week_end_date": "2025-05-16", "current_user_name": "Pat"}, "employees": [{"id": "pat", "display_name": "Pat", "timezone": "America/New_York"... | null |
ptc_queries_calendar_interview_scheduling_0 | [
[
{
"role": "user",
"content": "Schedule interviews for three candidates — Amy, Ben, and Chloe — with six interviewers — Anna, Brian, Carol, David, Emma, and Frank — across this Tuesday (April 8) and Wednesday (April 9). Each interview lasts one hour. Each candidate must have exactly two interviews,... | [
"EnterpriseCalendarAPI"
] | interview_booking | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-04-07T09:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-04-07", "current_week_end_date": "2025-04-13"}, "employees": [{"id": "amy", "display_name": "Amy", "timezone": "America/New_York"}, {"id": "ben", "display_na... | null |
ptc_queries_calendar_minimize_dead_time_0 | [
[
{
"role": "user",
"content": "I need three separate 45-minute 1-on-1 meetings this week: one with Alice, one with Bob, and one with Charlie. If all three can fit on the same day within a 9 AM–5 PM workday in my timezone, do that — otherwise spread them across two days. Arrange the meetings to mini... | [
"EnterpriseCalendarAPI"
] | dead_time_optimization | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-04-21T09:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-04-21", "current_week_end_date": "2025-04-27", "current_user_name": "Sam"}, "employees": [{"id": "sam", "display_name": "Sam", "timezone": "America/New_York"... | null |
ptc_queries_calendar_recurring_weekly_sync_0 | [
[
{
"role": "user",
"content": "I want to set up a recurring one-hour weekly sync with Alex over the next four weeks. It must fall within a 9 AM–5 PM workday in my local timezone, not conflict with any existing event on either my calendar or Alex’s across all four occurrences, and be on the same day... | [
"EnterpriseCalendarAPI"
] | recurring_booking | {"EnterpriseCalendarAPI": {"metadata": {"simulated_now_iso": "2025-04-28T09:00:00", "simulated_now_timezone": "America/New_York", "current_week_start_date": "2025-04-28", "current_week_end_date": "2025-05-04", "current_user_name": "Jordan"}, "employees": [{"id": "jordan", "display_name": "Jordan", "timezone": "America/... | null |
ptc_queries_shared_supervisor_pairs_0 | [
[
{
"role": "user",
"content": "Given the list of employees and their past reporting relationships, could you find all pairs of employees who have ever shared a supervisor? For each pair, return who that supervisor was and, if possible, the dates or timeframe when both were reporting to that person ... | [
"OrgChartAPI"
] | pair_set_match | {"OrgChartAPI": {"employees": [{"employee_id": "e1", "employee_name": "Alice"}, {"employee_id": "e2", "employee_name": "Bob"}, {"employee_id": "e3", "employee_name": "Carol"}, {"employee_id": "e4", "employee_name": "Eve"}, {"employee_id": "e5", "employee_name": "Dave"}, {"employee_id": "e6", "employee_name": "Grace"}, ... | null |
ptc_yelp_cascading_search_0 | [
[
{
"role": "user",
"content": "I need a restaurant ASAP. Search within 2 miles of my location for a place that is currently open, rated at least 4.3 stars, and has a wait time under 20 minutes. If nothing matches all those criteria, expand your search to 5 miles with the same rating and wait requir... | [
"YelpAPI"
] | yelp_cascading_save | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Corner Grill", "address": "101 Market St, San Francisco, CA", "rating": 4.5, "review_... | null |
ptc_yelp_category_best_nearby_0 | [
[
{
"role": "user",
"content": "I want to see what kinds of restaurants are around me. Look at all restaurants within 2 miles of my current location and group them by their category. For each category, find the one with the highest star rating. Return the result as a JSON object where each key is a ... | [
"YelpAPI"
] | yelp_category_best | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Place 1", "address": "460 Market St, San Francisco, CA", "rating": 3.8, "review_count... | null |
ptc_yelp_chinese_near_boba_0 | [
[
{
"role": "user",
"content": "I want to grab Chinese food and then get boba tea right after without driving. Find me all Chinese restaurants within 5 miles of my location that have a boba tea shop within 0.3 miles walking distance of them. For each qualifying pair, give me the Chinese restaurant n... | [
"YelpAPI"
] | yelp_pair_match | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Dragon Bowl", "address": "667 Market St, San Francisco, CA", "rating": 4.3, "review_c... | null |
ptc_yelp_highest_rated_filtered_0 | [
[
{
"role": "user",
"content": "I'm craving Chinese food right now. Can you find the highest-rated Chinese restaurant within 10 miles of my current location that is currently open and has at least 100 reviews? Once you find it, save it to my bookmarks. Tell me the restaurant name, its star rating, a... | [
"YelpAPI"
] | yelp_filtered_save | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Golden Dragon", "address": "542 Market St, San Francisco, CA", "rating": 4.5, "review... | null |
ptc_yelp_min_stops_coverage_0 | [
[
{
"role": "user",
"content": "My friends and I want dinner, boba tea, and dessert tonight, and we'd rather keep our Uber stops to a minimum. Search for restaurants (any cuisine counts as dinner), boba tea shops, and dessert places within 3 miles of my location. Two places within 0.3 miles of each ... | [
"YelpAPI"
] | min_stops_coverage | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Mandarin Garden", "address": "127 Market St, San Francisco, CA", "rating": 4.5, "revi... | null |
ptc_yelp_top_rated_reviews_0 | [
[
{
"role": "user",
"content": "I'm visiting Portland and want to check out the best food there. Find all restaurants located in Portland and sort them by star rating from highest to lowest. For the top 3 rated restaurants, fetch their 2 most recent reviews. Return a JSON list of the top 3 restauran... | [
"YelpAPI"
] | yelp_top_reviews | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Pine Street Bistro", "address": "284 Market St, San Francisco, CA", "rating": 4.7, "review_count": 230, "price_level": "$$$", "opening_hours": {"Monday": {"open": "10:00", "close": "2... | null |
ptc_yelp_uber_food_boba_route_0 | [
[
{
"role": "user",
"content": "I want Chinese food and boba tea tonight. I'll Uber from home to a Chinese restaurant, then to a boba tea shop, and then back home. Find all Chinese restaurants and boba tea shops within 5 miles of me. Figure out which Chinese-boba pair gives me the cheapest round tri... | [
"YelpAPI",
"UberAPI"
] | food_boba_route | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Dragon Palace", "address": "753 Market St, San Francisco, CA", "rating": 4.3, "review... | null |
ptc_yelp_uber_pareto_chinese_0 | [
[
{
"role": "user",
"content": "I'm looking for a Chinese restaurant near me. Find all Chinese restaurants within 5 miles of my location. Then remove any restaurant that is strictly dominated — meaning there exists another Chinese restaurant with both a higher star rating AND a lower Uber cost from ... | [
"YelpAPI",
"UberAPI"
] | pareto_filter | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Golden Dragon", "address": "384 Market St, San Francisco, CA", "rating": 4.5, "review... | null |
ptc_yelp_uber_supermarket_route_0 | [
[
{
"role": "user",
"content": "I'm preparing for Thanksgiving dinner and need to pick up ingredients from three stores: Whole Foods Market, Safeway, and 99 Ranch Market. I'll take Uber between each stop. I want to start from home, visit all three stores, and return home at the end. What order shoul... | [
"YelpAPI",
"UberAPI"
] | route_optimization | {"YelpAPI": {"profile": {"name": "Alex Chen", "email": "alex.chen@email.com", "location": {"latitude": 37.7749, "longitude": -122.4194}, "current_time": "2025-04-15T12:30:00"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Whole Foods Market", "address": "875 Market St, San Francisco, CA", "rating": 4.3, "r... | null |
ptc_loop_0 | [
[
{
"role": "user",
"content": "I just had dinner with Alice, Bob, Charlie, Diana, Eve, Frank, Gina, Hector, Jake, and Sophie. The total bill was $300 so each person owes $30. Send a Venmo payment request to each of them for $30 with the note 'Dinner split at Olive Garden'."
}
]
] | [
"VenmoAPI"
] | null | {"VenmoAPI": {"balance": 500.0, "friends": ["alice_v", "bob_smith", "charlie99", "diana_k", "eve_jones", "frank_w", "gina_t", "hector_m", "jake_r", "sophie_22"], "user_id": "user001", "transactions": [], "pending_requests": [], "username_to_id": {"alice_v": "u101", "bob_smith": "u102", "charlie99": "u103", "diana_k": "... | null |
ptc_loop_1 | [
[
{
"role": "user",
"content": "Search Yelp for 'coffee shop' in San Francisco. Bookmark all results that have a rating of 4.5 or above."
}
]
] | [
"YelpAPI"
] | null | {"YelpAPI": {"businesses": {"biz_01": {"id": "biz_01", "name": "Blue Bottle Coffee", "rating": 4.7, "review_count": 320, "address": "66 Mint St, San Francisco, CA", "phone": "415-555-0101", "price_level": "$$", "categories": ["coffee shop"], "is_open": true}, "biz_02": {"id": "biz_02", "name": "Philz Coffee", "rating":... | null |
ptc_loop_2 | [
[
{
"role": "user",
"content": "Get all songs in my Spotify playlist 'Road Trip'. Remove every song by the artist 'Drake'."
}
]
] | [
"SpotifyAPI"
] | null | {"SpotifyAPI": {"playlists": {"pl_1": {"id": "pl_1", "name": "Road Trip", "tracks": ["t1", "t2", "t3", "t4", "t5", "t6", "t7", "t8", "t9", "t10", "t11", "t12", "t13", "t14", "t15"]}}, "tracks": {"t1": {"id": "t1", "name": "Blinding Lights", "artist": "The Weeknd", "album": "After Hours", "duration_ms": 200000}, "t2": {... | null |
ptc_loop_3 | [
[
{
"role": "user",
"content": "I have calendar events this week. Delete all events that have 'optional' in their description."
}
]
] | [
"PersonalCalendarAPI"
] | null | {"PersonalCalendarAPI": {"events": {"evt_1": {"id": "evt_1", "title": "Sprint Standup", "start_time": "2026-03-30 09:00", "end_time": "2026-03-30 09:30", "description": "Daily standup meeting", "location": "Zoom", "attendees": ["alice_v", "bob_smith"]}, "evt_2": {"id": "evt_2", "title": "Product Roadmap Review", "start... | null |
ptc_loop_4 | [
[
{
"role": "user",
"content": "Get my Uber ride history for this month. Rate every completed ride 5 stars with comment 'Great service'."
}
]
] | [
"UberAPI"
] | null | {"UberAPI": {"rides": {"ride_1": {"id": "ride_1", "start": "123 Main St", "end": "456 Market St", "fare": 15.5, "status": "completed", "driver": "John D.", "rating": null, "date": "2026-01-03", "ride_type": "UberX"}, "ride_2": {"id": "ride_2", "start": "789 Mission St", "end": "321 Howard St", "fare": 12.0, "status": "... | null |
ptc_loop_5 | [
[
{
"role": "user",
"content": "I need to invite my team members - Sarah, Mike, Jenny, Tom, and Lisa - to a meeting. Create a calendar event titled 'Sprint Planning' on 2026-04-05 from 10:00 to 11:00 at 'Conference Room A', then add each of them as attendees."
}
]
] | [
"PersonalCalendarAPI"
] | null | {"PersonalCalendarAPI": {"events": {"evt_noise_1": {"id": "evt_noise_1", "title": "Weekly Sync", "start_time": "2026-04-01 09:00", "end_time": "2026-04-01 09:30", "description": "Recurring weekly sync with cross-functional team", "location": "Zoom", "attendees": ["alice_v"]}, "evt_noise_2": {"id": "evt_noise_2", "title... | null |
ptc_loop_6 | [
[
{
"role": "user",
"content": "Get my DoorDash order history. For each order, rate it 4 stars with the comment 'Good food, will order again'."
}
]
] | [
"DoorDashAPI"
] | null | {"DoorDashAPI": {"restaurants": {"rest_1": {"id": "rest_1", "name": "Panda Express", "cuisine": "Chinese", "rating": 4.1, "address": "100 Powell St, SF", "delivery_fee": 2.99, "estimated_delivery_time": 30}, "rest_2": {"id": "rest_2", "name": "Chipotle", "cuisine": "Mexican", "rating": 4.3, "address": "250 Market St, S... | null |
ptc_loop_7 | [
[
{
"role": "user",
"content": "I want to add these friends on Venmo: lily_42, rj_beats, omar_k, zoe_taylor, chris_m3, maya_patel, derek_jones, sofia_r, kevin_ng, anna_white, sam_brooks, tina_chen, raj_kumar, emily_hart, lucas_kim, nadia_f, oscar_vega, quinn_z, ruby_li, wade_park. Add all of them as... | [
"VenmoAPI"
] | null | {"VenmoAPI": {"balance": 500.0, "friends": ["alice_v", "bob_smith", "charlie99", "diana_k", "eve_jones", "frank_w", "gina_t", "hector_m", "jake_r", "sophie_22", "marcus_lee", "nina_w", "tom_99", "priya_shah", "alex_chen"], "user_id": "user001", "transactions": [], "pending_requests": [], "username_to_id": {"user001": "... | null |
ptc_loop_8 | [
[
{
"role": "user",
"content": "Get all my Spotify playlists. For each playlist, get the playlist details including the track count and total duration."
}
]
] | [
"SpotifyAPI"
] | null | {"SpotifyAPI": {"playlists": {"pl_1": {"id": "pl_1", "name": "Morning Chill", "tracks": ["t1", "t2", "t3", "t4"]}, "pl_2": {"id": "pl_2", "name": "Workout Beats", "tracks": ["t5", "t6", "t7", "t8", "t9", "t10"]}, "pl_3": {"id": "pl_3", "name": "Late Night Jazz", "tracks": ["t11", "t12", "t13", "t14", "t15"]}, "pl_4": {... | null |
ptc_loop_9 | [
[
{
"role": "user",
"content": "I have pending Venmo payment requests from multiple people. Get all pending requests and accept every single one of them."
}
]
] | [
"VenmoAPI"
] | null | {"VenmoAPI": {"balance": 5000.0, "friends": ["alice_v", "bob_smith", "charlie99", "diana_k", "eve_jones", "frank_w", "gina_t", "hector_m", "jake_r", "sophie_22", "marcus_lee", "nina_w", "tom_99", "priya_shah", "alex_chen", "lily_42", "rj_beats", "omar_k", "zoe_taylor", "chris_m3", "maya_patel", "derek_jones", "sofia_r"... | null |
ptc_code_0 | [
[
{
"role": "user",
"content": "Get my Venmo transaction history for the past month. Categorize all outgoing payments by recipient. Calculate the total amount paid to each person, find who I've paid the most, compute the average transaction size, and determine what percentage of my total spending we... | [
"VenmoAPI"
] | null | {"VenmoAPI": {"balance": 2000.0, "friends": ["alice_v", "bob_smith", "charlie99", "diana_k", "eve_jones", "frank_w", "gina_t", "hector_m"], "current_user": "user1", "transactions": [{"id": "t01", "sender": "user1", "receiver": "alice_v", "amount": 55.0, "note": "Dinner split", "date": "2026-03-01", "type": "payment"}, ... | null |
ptc_code_1 | [
[
{
"role": "user",
"content": "Search Yelp for 'sushi' in San Francisco and get the top 10 results. For each restaurant, get its details including rating, review count, and price level. Calculate a weighted score for each: (rating * 2) + log(review_count) - (price_level * 0.5). Note: the Yelp API r... | [
"YelpAPI",
"DoorDashAPI"
] | null | {"YelpAPI": {"businesses": {"s1": {"id": "s1", "name": "Sushi Ran", "rating": 4.8, "review_count": 1200, "address": "107 Caledonia St, Sausalito, CA", "phone": "415-555-1001", "price_level": "$$$$", "categories": ["sushi", "Japanese"], "is_open": true}, "s2": {"id": "s2", "name": "Kusakabe", "rating": 4.7, "review_coun... | null |
ptc_code_2 | [
[
{
"role": "user",
"content": "Get my Uber ride history for the past 3 months. Compute the total spent, average fare per ride, and the standard deviation of fares. Separate rides into weekday vs weekend. Calculate average fare for each category and the percentage of total spending on weekday vs wee... | [
"UberAPI",
"PersonalCalendarAPI",
"VenmoAPI"
] | null | {"UberAPI": {"rides": {"r01": {"id": "r01", "start_location": "200 Valencia St", "end_location": "SFO Airport", "fare": 18.5, "status": "completed", "driver": "Tom A.", "rating": 4, "date": "2025-10-03", "ride_type": "UberX"}, "r02": {"id": "r02", "start_location": "200 Valencia St", "end_location": "50 Fremont St", "f... | null |
ptc_code_3 | [
[
{
"role": "user",
"content": "Get all my Spotify playlists. For each playlist, get its tracks and compute the total duration in minutes. Sort playlists by duration from longest to shortest. Calculate the median playlist duration. Find playlists shorter than the median. Create a new playlist called... | [
"SpotifyAPI"
] | null | {"SpotifyAPI": {"playlists": {"pl_a": {"id": "pl_a", "name": "Morning Vibes", "description": "Wake up tunes", "tracks": ["ta1", "ta2", "ta3", "ta4"]}, "pl_b": {"id": "pl_b", "name": "Deep Focus", "description": "Concentration music", "tracks": ["tb1", "tb2", "tb3", "tb4", "tb5", "tb6", "tb7", "tb8"]}, "pl_c": {"id": "p... | null |
ptc_code_4 | [
[
{
"role": "user",
"content": "Get my DoorDash order history for the past month. Calculate the total spent, average order value, and find the restaurant I ordered from most frequently. Get that restaurant's Yelp details and current rating. Also get the Yelp details for the restaurant I spent the mo... | [
"DoorDashAPI",
"YelpAPI",
"VenmoAPI"
] | null | {"DoorDashAPI": {"restaurants": {"dr_pg": {"id": "dr_pg", "name": "Pho Garden", "cuisine": "Vietnamese", "rating": 4.4, "address": "1239 9th Ave, SF", "delivery_fee": 2.49, "estimated_delivery_time": 25}, "dr_ps": {"id": "dr_ps", "name": "Prime Steakhouse", "cuisine": "Steakhouse", "rating": 4.7, "address": "325 Pacifi... | null |
ptc_chain_0 | [
[
{
"role": "user",
"content": "Search Yelp for the highest-rated Italian restaurant in San Francisco. Get its full details including address. Then request an Uber ride from '123 Main St, San Francisco' to the restaurant's address. Create a calendar event titled 'Dinner at {restaurant_name}' at the ... | [
"YelpAPI",
"UberAPI",
"PersonalCalendarAPI",
"VenmoAPI"
] | null | {"YelpAPI": {"businesses": {"hbiz_100": {"id": "hbiz_100", "name": "Trattoria Roma", "rating": 4.8, "review_count": 450, "address": "100 Market St, San Francisco, CA", "phone": "415-555-1100", "price_level": "$", "categories": ["Italian", "restaurant"], "is_open": true}, "hbiz_101": {"id": "hbiz_101", "name": "Sushi Ze... | null |
ptc_chain_1 | [
[
{
"role": "user",
"content": "Check my calendar events for today. Find the event that has a restaurant name in its location. Search Yelp for that restaurant to get its details. Then search DoorDash for the same restaurant, get its menu, and place an order for the first appetizer on the menu to be ... | [
"PersonalCalendarAPI",
"YelpAPI",
"DoorDashAPI",
"VenmoAPI"
] | null | {"PersonalCalendarAPI": {"events": {"hevt_c1_0": {"id": "hevt_c1_0", "title": "Morning Standup", "start_time": "2026-03-31 07:00", "end_time": "2026-03-31 08:00", "description": "Regular meeting #0", "location": "Zoom", "attendees": []}, "hevt_c1_1": {"id": "hevt_c1_1", "title": "Sprint Planning", "start_time": "2026-0... | null |
ptc_chain_2 | [
[
{
"role": "user",
"content": "Search Spotify for 'workout energy' playlists. Get the top result's full details including all tracks. Calculate the total duration of all tracks in minutes. If the total is more than 45 minutes, create a calendar event called 'Gym Session' with duration matching the ... | [
"SpotifyAPI",
"PersonalCalendarAPI",
"UberAPI"
] | null | {"SpotifyAPI": {"playlists": {"hpl_0": {"id": "hpl_0", "name": "Workout Energy Mix", "description": "High intensity workout tracks", "tracks": ["ht_0", "ht_1", "ht_2", "ht_3", "ht_4", "ht_5", "ht_6", "ht_7"]}, "hpl_1": {"id": "hpl_1", "name": "Chill Study Beats", "description": "Lo-fi for studying", "tracks": ["ht_8", ... | null |
ptc_chain_3 | [
[
{
"role": "user",
"content": "Get my Venmo transaction history for this month. Calculate the total amount I've spent on transactions with 'food' or 'dinner' or 'lunch' in the note. Check my Venmo balance. Compute how much of my balance remains after food spending. Search Yelp for restaurants in Sa... | [
"VenmoAPI",
"YelpAPI",
"DoorDashAPI"
] | null | {"VenmoAPI": {"balance": 450.0, "friends": ["alice_v", "bob_smith", "charlie99", "diana_k", "eve_jones", "frank_w", "grace_h", "henry_t"], "current_user": "user1", "transactions": [{"id": "txn_1", "sender": "user1", "receiver": "alice_v", "amount": 8.0, "note": "Dinner at Thai place", "date": "2026-03-01", "type": "pay... | null |
ptc_chain_4 | [
[
{
"role": "user",
"content": "Search Yelp for 'live music venue' in San Francisco. Get reviews for the top-rated venue. Check if any review mentions a specific band or artist name. Search Spotify for that artist's top tracks. Create a new playlist named 'Pre-show Warmup: {venue_name}' and add all ... | [
"YelpAPI",
"SpotifyAPI",
"UberAPI"
] | null | {"YelpAPI": {"businesses": {"hbiz_c4_0": {"id": "hbiz_c4_0", "name": "The Fillmore", "rating": 5.0, "review_count": 890, "address": "1805 Geary Blvd, San Francisco, CA", "phone": "415-555-4100", "price_level": "$", "categories": ["live music", "venue", "nightlife"], "is_open": true}, "hbiz_c4_1": {"id": "hbiz_c4_1", "n... | null |
ptc_chain_5 | [
[
{
"role": "user",
"content": "Get my calendar events for tomorrow. For each event that has a physical location, estimate the Uber fare from my home '200 Valencia St, San Francisco' to that location. Find the event with the most expensive ride estimate. Request an Uber ride to that event's location... | [
"PersonalCalendarAPI",
"UberAPI",
"VenmoAPI"
] | null | {"PersonalCalendarAPI": {"events": {"hevt_c5_0": {"id": "hevt_c5_0", "title": "Client Presentation", "start_time": "2026-04-01 09:00", "end_time": "2026-04-01 10:30", "description": "Q2 pitch", "location": "Financial District, 100 Pine St, San Francisco", "attendees": ["alice_v", "bob_smith"]}, "hevt_c5_1": {"id": "hev... | null |
ptc_chain_6 | [
[
{
"role": "user",
"content": "Search DoorDash for 'pizza' in San Francisco. Get the menus from the top 3 restaurant results. Find the cheapest Margherita pizza across all three menus. Place an order for 3 of that pizza from the restaurant that offers it, delivered to '88 Guerrero St, San Francisco... | [
"DoorDashAPI",
"VenmoAPI",
"PersonalCalendarAPI"
] | null | {"DoorDashAPI": {"restaurants": {"hdd_c6_0": {"id": "hdd_c6_0", "name": "Tony's Pizza Napoletana", "cuisine": "Pizza", "rating": 4.8, "address": "100 Stockton St, SF", "delivery_fee": 0.99, "estimated_delivery_time": 15}, "hdd_c6_1": {"id": "hdd_c6_1", "name": "Pizzeria Delfina", "cuisine": "Pizza", "rating": 4.6, "add... | null |
ptc_chain_7 | [
[
{
"role": "user",
"content": "Get my Spotify recently played tracks. Find the artist I've listened to the most. Search Yelp for events related to that artist in San Francisco. Get details of the first event found. Create a calendar event with the event's name, date, and venue. Estimate an Uber rid... | [
"SpotifyAPI",
"YelpAPI",
"PersonalCalendarAPI",
"UberAPI",
"VenmoAPI"
] | null | {"SpotifyAPI": {"playlists": {}, "tracks": {"ht_c7_0": {"id": "ht_c7_0", "name": "Blinding Lights", "artist": "The Weeknd", "album": "After Hours", "duration_ms": 200000}, "ht_c7_1": {"id": "ht_c7_1", "name": "Save Your Tears", "artist": "The Weeknd", "album": "After Hours", "duration_ms": 215000}, "ht_c7_2": {"id": "h... | null |
ptc_chain_8 | [
[
{
"role": "user",
"content": "I want to plan a dinner party. Search Yelp for 'catering' in San Francisco with rating above 4.0. Get the top result's details and reviews. Search DoorDash for the same restaurant and get its menu. Order the 3 most expensive items on the menu (1 of each) for delivery ... | [
"YelpAPI",
"DoorDashAPI",
"PersonalCalendarAPI",
"VenmoAPI"
] | null | {"YelpAPI": {"businesses": {"hbiz_c8_0": {"id": "hbiz_c8_0", "name": "Golden Gate Catering", "rating": 4.6, "review_count": 50, "address": "100 Market St, San Francisco, CA", "phone": "415-555-8100", "price_level": "$$", "categories": ["catering", "American"], "is_open": true}, "hbiz_c8_1": {"id": "hbiz_c8_1", "name": ... | null |
ptc_chain_9 | [
[
{
"role": "user",
"content": "Get my Yelp bookmarked businesses. For each bookmarked restaurant, get its current reviews and check if the average review rating has dropped below 4.0. For any restaurant whose rating dropped, remove it from bookmarks. For the remaining bookmarked restaurants, search... | [
"YelpAPI",
"DoorDashAPI"
] | null | {"YelpAPI": {"businesses": {"hbiz_c9_0": {"id": "hbiz_c9_0", "name": "Golden Dragon", "rating": 3.5, "review_count": 50, "address": "100 Market St, San Francisco, CA", "phone": "415-555-9100", "price_level": "$", "categories": ["Chinese", "restaurant"], "is_open": true}, "hbiz_c9_1": {"id": "hbiz_c9_1", "name": "La Taq... | null |
ptc_combined_0 | [
[
{
"role": "user",
"content": "Plan my entire evening: First, find a free slot on my calendar after 18:00 today. Search Yelp for 'Thai food' in San Francisco with rating >= 4.5. Get the top result. Estimate Uber ride from '100 Townsend St' to the restaurant. If ride is under $20, book it. Get the r... | [
"PersonalCalendarAPI",
"YelpAPI",
"UberAPI",
"DoorDashAPI",
"VenmoAPI",
"SpotifyAPI"
] | null | {"PersonalCalendarAPI": {"events": {"hevt_cb0_0": {"id": "hevt_cb0_0", "title": "Meeting 1", "start_time": "2026-03-31 08:00", "end_time": "2026-03-31 08:45", "description": "Work meeting #0", "location": "Zoom", "attendees": []}, "hevt_cb0_1": {"id": "hevt_cb0_1", "title": "Meeting 2", "start_time": "2026-03-31 09:00"... | null |
ptc_combined_1 | [
[
{
"role": "user",
"content": "It's my friend's birthday tomorrow. Search Yelp for 'birthday party venue' in San Francisco, get the top 3 results and their reviews. Pick the one with the best reviews. Create a calendar event 'Birthday Party for Sarah' at that venue from 19:00 to 23:00 tomorrow. Add... | [
"YelpAPI",
"PersonalCalendarAPI",
"VenmoAPI",
"SpotifyAPI",
"DoorDashAPI"
] | null | {"YelpAPI": {"businesses": {"hv_0": {"id": "hv_0", "name": "The Grand Ballroom", "rating": 3.8, "review_count": 100, "address": "100 Sutter St, San Francisco, CA", "phone": "415-555-6100", "price_level": "$$", "categories": ["venue", "event space", "birthday party venue"], "is_open": true}, "hv_1": {"id": "hv_1", "name... | null |
ptc_combined_2 | [
[
{
"role": "user",
"content": "Weekly meal prep planning: Get my DoorDash order history to find my top 3 most-ordered cuisines. Search Yelp for each cuisine type in San Francisco and get the highest-rated restaurant for each. Get DoorDash menus for all 3 restaurants. From each menu, pick the item c... | [
"DoorDashAPI",
"YelpAPI",
"VenmoAPI",
"PersonalCalendarAPI"
] | null | {"DoorDashAPI": {"restaurants": {"hmp_j": {"id": "hmp_j", "name": "Katsura Japanese", "cuisine": "Japanese", "rating": 4.6, "address": "420 Geary St, SF", "delivery_fee": 3.99, "estimated_delivery_time": 30}, "hmp_m": {"id": "hmp_m", "name": "El Farolito", "cuisine": "Mexican", "rating": 4.5, "address": "2779 Mission S... | null |
ptc_combined_3 | [
[
{
"role": "user",
"content": "End-of-month financial review: Get my Venmo transaction history and compute total outgoing payments. Get my Uber ride history and compute total ride spending. Get my DoorDash order history and compute total food delivery spending. Calculate the grand total across all ... | [
"VenmoAPI",
"UberAPI",
"DoorDashAPI",
"PersonalCalendarAPI"
] | null | {"VenmoAPI": {"balance": 1200.0, "friends": ["alice_v", "bob_smith", "charlie99", "diana_k", "eve_jones", "frank_w", "grace_h", "henry_t", "iris_m", "jack_l"], "current_user": "user1", "transactions": [{"id": "txn_1", "sender": "user1", "receiver": "alice_v", "amount": 5.0, "note": "Coffee", "date": "2026-03-01", "type... | null |
ptc_combined_4 | [
[
{
"role": "user",
"content": "Office team outing coordinator: Get all calendar events for this Friday. Find the 'Team Outing' event and get its attendee list. Search Yelp for 'team building activities' in San Francisco, get details and reviews for top 5 results. Pick the one with the most reviews ... | [
"PersonalCalendarAPI",
"YelpAPI",
"UberAPI",
"VenmoAPI",
"SpotifyAPI",
"DoorDashAPI"
] | null | {"PersonalCalendarAPI": {"events": {"hte_1": {"id": "hte_1", "title": "Morning Standup", "start_time": "2026-04-03 09:00", "end_time": "2026-04-03 09:30", "description": "Daily sync", "location": "Zoom", "attendees": []}, "hte_2": {"id": "hte_2", "title": "Team Outing", "start_time": "2026-04-03 14:00", "end_time": "20... | null |
ptc_venmo_subscription_hunt_0 | [
[
{
"role": "user",
"content": "I've got a nagging feeling I'm paying for things I forgot I signed up for. Look through my Venmo history from July 2025 through March 2026 and find any recurring payments I've been sending — same recipient, same amount, spaced roughly monthly (between 25 and 35 days a... | [
"VenmoAPI"
] | venmo_subscription_hunt | {"VenmoAPI": {"balance": 500.0, "friends": ["alice", "bob", "carol", "dave", "eve", "frank", "grace", "henry", "iris", "jack", "kira", "liam", "mort", "nate", "oli", "pam", "quinn", "rob", "sara", "tim"], "transactions": [{"id": "txn_1", "sender": "you", "receiver": "gym_local", "amount": 45.0, "note": "gym membership"... | null |
ptc_venmo_reciprocity_audit_0 | [
[
{
"role": "user",
"content": "For each of my Venmo friends, compare how much I've sent them vs. how much they've sent me over the last 6 months (Oct 1 2025 through Mar 31 2026). I want to flag the one-sided friendships — friends I've sent at least $80 to where they've paid me back less than 30% of... | [
"VenmoAPI"
] | venmo_reciprocity_audit | {"VenmoAPI": {"balance": 500.0, "friends": ["alice", "bob", "carol", "dave", "eve", "frank", "grace", "henry", "iris", "jack", "kira", "liam", "milo", "nora", "oskar", "pia", "ravi", "sage", "teo", "uma"], "transactions": [{"id": "txn_1", "sender": "you", "receiver": "alice", "amount": 10.0, "note": "gift", "date": "20... | null |
ptc_venmo_beach_house_reconciliation_0 | [
[
{
"role": "user",
"content": "I prepaid the whole $2400 Airbnb for the Jersey Shore weekend back in February — 8 of us stayed, so everyone's share is $300. Since then people have been Venmo'ing me back with various notes: sometimes \"shore,\" sometimes \"airbnb,\" sometimes just \"trip.\" Go throu... | [
"VenmoAPI"
] | venmo_beach_house_reconciliation | {"VenmoAPI": {"balance": 500.0, "friends": ["jake", "priya", "sam", "chloe", "ravi", "megan", "diego", "aisha", "bob", "carol", "dave", "eve", "frank", "grace", "henry", "iris"], "transactions": [{"id": "txn_1", "sender": "jake", "receiver": "you", "amount": 300.0, "note": "Jersey shore weekend", "date": "2026-02-08", ... | null |
ptc_venmo_core_financial_circle_0 | [
[
{
"role": "user",
"content": "Looking back at all of 2025, for each quarter (Q1 Jan–Mar, Q2 Apr–Jun, Q3 Jul–Sep, Q4 Oct–Dec) rank every friend I transacted with by total money flow with me that quarter (sent-to + received-from combined). Take each quarter's top 5. Then tell me which friends made t... | [
"VenmoAPI"
] | venmo_core_financial_circle | {"VenmoAPI": {"balance": 500.0, "friends": ["alice", "bob", "carol", "dave", "eve", "frank", "grace", "henry", "iris", "jack", "kira", "liam", "milo", "nora", "oskar", "pia", "sage", "teo", "uma", "vik", "willa"], "transactions": [{"id": "txn_1", "sender": "you", "receiver": "alice", "amount": 11.0, "note": "Q1 share",... | null |
ptc_venmo_monthly_budget_breach_0 | [
[
{
"role": "user",
"content": "At the start of the year I set myself a rule: no more than $50 sent to any single friend in a given calendar month for shared-expense stuff. Check Jan, Feb, and March 2026. For each friend I paid this year, tell me how much I sent them in each of those three months, a... | [
"VenmoAPI"
] | venmo_monthly_budget_breach | {"VenmoAPI": {"balance": 500.0, "friends": ["alice", "bob", "carol", "dave", "eve", "frank", "grace", "henry", "iris", "jack"], "transactions": [{"id": "txn_1", "sender": "you", "receiver": "alice", "amount": 3.0, "note": "coffee", "date": "2026-01-18", "type": "payment"}, {"id": "txn_2", "sender": "you", "receiver": "... | null |
ptc_org_chart_deepest_chain_0 | [
[
{
"role": "user",
"content": "Our org has shuffled around a lot. As of 2026-01-15, who's the employee furthest from the CEO in reporting chain length? Walk the current manager chain upward from each employee to the root (the employee who has no active manager row on the snapshot date) and count th... | [
"OrgChartAPI"
] | org_chart_deepest_chain | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_span_of_control_0 | [
[
{
"role": "user",
"content": "As of 2026-01-15, how is management load distributed across the org? For every employee_id that appears as a manager_id on an active reporting row (start_date <= 2026-01-15 and end_date is empty or >= 2026-01-15), count their direct reports on the snapshot date.\n\nDi... | [
"OrgChartAPI"
] | org_chart_span_of_control | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_levels_histogram_0 | [
[
{
"role": "user",
"content": "On 2026-01-15, describe the org's shape level by level. Level 0 is the CEO (the root: an employee_id that appears as a manager_id on an active row but has no active reporting row of their own). Level k is any employee whose active manager chain walks exactly k edges u... | [
"OrgChartAPI"
] | org_chart_levels_histogram | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_reorg_churn_0 | [
[
{
"role": "user",
"content": "During 2025 (window [2025-01-01, 2025-12-31] inclusive), which 5 employees bounced between the most different managers? For each employee, count the DISTINCT manager_ids that appear on their reporting rows whose [start_date, end_date] overlaps the 2025 window. An empt... | [
"OrgChartAPI"
] | org_chart_reorg_churn | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_lca_pairs_0 | [
[
{
"role": "user",
"content": "For the following 5 employee pairs, find each pair's lowest common manager as of 2026-01-15. The LCA is the deepest employee who appears in BOTH employees' upward reporting chains (where each chain starts at the employee and walks through each active row's manager_id ... | [
"OrgChartAPI"
] | org_chart_lca_pairs | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_boomerangs_0 | [
[
{
"role": "user",
"content": "I want to spot 'boomerang' situations — where an employee left a manager and later came back to the same manager. Group reporting rows by (employee_id, manager_id) and sort each group by start_date ascending. A pair counts as a boomerang if there's at least one place ... | [
"OrgChartAPI"
] | org_chart_boomerangs | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_continuous_tenure_0 | [
[
{
"role": "user",
"content": "How long has each of my employees been continuously reporting to their current manager? Some people technically transition off a manager and back on within a few days due to org-chart cleanup — count those as continuous (gaps of 7 days or less merge into one stretch) ... | [
"OrgChartAPI"
] | org_chart_continuous_tenure | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_reorg_impact_0 | [
[
{
"role": "user",
"content": "I want to see which org changes between BEFORE = 2025-12-01 and AFTER = 2026-02-01 hit close to the CEO vs deep in the tree. Only consider employees who have an active direct manager on BOTH dates.\n\nFor each such employee, build their reporting chain to the CEO on e... | [
"OrgChartAPI"
] | org_chart_reorg_impact | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_matrix_reports_0 | [
[
{
"role": "user",
"content": "Find every employee who has ever REPORTED TO TWO DIFFERENT MANAGERS SIMULTANEOUSLY — i.e. two rows in reporting_history for the same employee with different manager_ids whose [start_date, end_date] intervals overlap on at least one calendar day. Treat end_date=\"\" as... | [
"OrgChartAPI"
] | org_chart_matrix_reports | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_org_chart_span_deltas_0 | [
[
{
"role": "user",
"content": "I'm doing a quick people-management review and want to spot the managers whose teams shifted the most over the second half of last year.\n\nFor each manager (anyone who has >=1 direct report on BOTH snapshot dates 2025-07-01 and 2026-01-01), compute:\n count_d1 = dir... | [
"OrgChartAPI"
] | org_chart_span_deltas | {"OrgChartAPI": {"employees": [{"employee_id": "e01", "employee_name": "Alice Chen"}, {"employee_id": "e02", "employee_name": "Bob Martinez"}, {"employee_id": "e03", "employee_name": "Carol Singh"}, {"employee_id": "e04", "employee_name": "David Kim"}, {"employee_id": "e05", "employee_name": "Ella Johnson"}, {"employee... | null |
ptc_spotify_track_ubiquity_0 | [
[
{
"role": "user",
"content": "Look across all my Spotify playlists and find the tracks I keep coming back to — the ones I've added into the most different playlists. For each track, count how many of MY playlists contain it (duplicates within the same playlist count once for that playlist).\n\nRes... | [
"SpotifyAPI"
] | spotify_track_ubiquity | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_top_artists_0 | [
[
{
"role": "user",
"content": "Across ALL my user playlists, which 5 artists show up with the most DISTINCT tracks? Count a track once per artist even if it appears in multiple playlists (i.e. dedupe by track_id).\n\nRespond with JSON:\n- top5: list of {artist, unique_track_count}. Sort by unique_t... | [
"SpotifyAPI"
] | spotify_top_artists | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_playlist_stats_0 | [
[
{
"role": "user",
"content": "Give me a size leaderboard of my user playlists. For each one, compute:\n - track_count: number of tracks in the playlist\n - total_duration_ms: sum of duration_ms across its tracks\n - avg_duration_ms: total_duration_ms / track_count, rounded to 2 decimals (0 if t... | [
"SpotifyAPI"
] | spotify_playlist_stats | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_artist_reach_0 | [
[
{
"role": "user",
"content": "Find the 10 artists with the WIDEST PLAYLIST REACH in my user playlists — i.e. the 10 artists whose tracks appear in the most different user playlists (must be in at least 3 user playlists to qualify). For each, list which playlists they appear in and how many of thei... | [
"SpotifyAPI"
] | spotify_artist_reach | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_most_isolated_0 | [
[
{
"role": "user",
"content": "I'm cleaning up my Spotify and want to find playlists that are the most ISOLATED from the rest — the truly one-of-a-kind ones.\n\nFor each user playlist A, compute its maximum Jaccard similarity to any OTHER user playlist B: max_jaccard(A) = max_over_B_neq_A ( |A ∩ B|... | [
"SpotifyAPI"
] | spotify_most_isolated | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_core_repertoire_0 | [
[
{
"role": "user",
"content": "I want to find the tracks that form the CORE REPERTOIRE across my 5 largest user playlists — the songs that show up in every single one of them.\n\nProcedure:\n 1. Rank my user playlists by track_count descending. Tiebreak: playlist name ascending.\n 2. Take the top... | [
"SpotifyAPI"
] | spotify_core_repertoire | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_recently_played_orphans_0 | [
[
{
"role": "user",
"content": "Find the tracks in my recently-played history that AREN'T in any of my user playlists (orphans — stuff I played but never curated). Use get_recently_played(limit=100) to fetch the full history (it's at most 30 entries). Dedupe by track_id (a track played multiple time... | [
"SpotifyAPI"
] | spotify_recently_played_orphans | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_similarity_extremes_0 | [
[
{
"role": "user",
"content": "Curious which of my playlists basically duplicate each other and which are total opposites.\n\nCompute ALL pairwise Jaccard similarities across my user playlists (each pair once, undirected). Jaccard(A,B) = |A ∩ B| / |A ∪ B| on track_id sets. Round to 4 decimals.\n\nR... | [
"SpotifyAPI"
] | spotify_similarity_extremes | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_artist_concentration_0 | [
[
{
"role": "user",
"content": "Some of my playlists are basically 'just one or two artists' and others are super diverse — I want to know which is which. For each of my user playlists with at least one track, compute its ARTIST CONCENTRATION as top2_track_share: the fraction of tracks contributed b... | [
"SpotifyAPI"
] | spotify_artist_concentration | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_spotify_duplicate_detector_0 | [
[
{
"role": "user",
"content": "My library probably contains duplicate tracks — different track_ids with the SAME artist and SAME name (e.g. studio vs. live versions of the same song ingested as separate records). Find every such group across the tracks present in my user playlists.\n\nProcedure:\n ... | [
"SpotifyAPI"
] | spotify_duplicate_detector | {"SpotifyAPI": {"tracks": {"t_0001": {"id": "t_0001", "name": "Ubiquitous Anthem 1", "artist": "Alpha Wave", "album": "Greatest Hits", "duration_ms": 180000}, "t_0002": {"id": "t_0002", "name": "Ubiquitous Anthem 2", "artist": "Boreal Sun", "album": "Greatest Hits", "duration_ms": 182000}, "t_0003": {"id": "t_0003", "n... | null |
ptc_calendar_meeting_load_0 | [
[
{
"role": "user",
"content": "I want to find our 3 most meeting-burdened employees over the last sprint window [2026-03-16, 2026-03-27] and figure out who each of them collaborates with most. The team has 12 people; their display names are in get_calendar_context().team_members.\n\nFirst, for each... | [
"EnterpriseCalendarAPI"
] | calendar_meeting_load | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_utc_heatmap_0 | [
[
{
"role": "user",
"content": "Across ALL events on every team member's calendar in the window [2026-03-16, 2026-03-27], compute a histogram of start times by UTC hour-of-day. For each event, convert its local start time (stored in the employee's own timezone) to UTC and bucket by the UTC hour (0-2... | [
"EnterpriseCalendarAPI"
] | calendar_utc_heatmap | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_back_to_back_0 | [
[
{
"role": "user",
"content": "I want to find a 'meeting-heavy' threshold for our team in the last sprint window.\n\nFor each employee over [2026-03-16, 2026-03-27], compute accepted_event_count = the number of events with rsvp == \"accepted\" on their calendar.\n\nSweep the threshold T over the ca... | [
"EnterpriseCalendarAPI"
] | calendar_back_to_back | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_rsvp_audit_0 | [
[
{
"role": "user",
"content": "I'm trying to spot people whose RSVP patterns suggest they're overbooked or noncommittal.\n\nFor each employee over [2026-03-16, 2026-03-27], compute:\n- total_events: count of all their events\n- declined: count with rsvp == \"declined\"\n- tentative: count with rsvp... | [
"EnterpriseCalendarAPI"
] | calendar_rsvp_audit | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_team_free_block_0 | [
[
{
"role": "user",
"content": "Find the LONGEST contiguous block of UTC time, on any weekday within [2026-03-16, 2026-03-27], between 09:00 and 17:00 UTC, during which ALL of the following 5 attendees have no event on their calendars: Alex Reyes, Beth Chen, Diana Park, Gabe Harper, Hana Mori.\n\nIM... | [
"EnterpriseCalendarAPI"
] | calendar_team_free_block | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_60min_slots_0 | [
[
{
"role": "user",
"content": "For the same 5 attendees (Alex Reyes, Beth Chen, Diana Park, Gabe Harper, Hana Mori), enumerate ALL free slots within weekday [09:00 UTC, 17:00 UTC] across [2026-03-16, 2026-03-27] that are AT LEAST 60 minutes long and during which all 5 are simultaneously free.\n\nIM... | [
"EnterpriseCalendarAPI"
] | calendar_60min_slots | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_weekly_recurring_0 | [
[
{
"role": "user",
"content": "A meeting CATEGORY is the FIRST whitespace-separated token of a meeting's title (e.g., \"Daily\" for \"Daily Standup\", \"Backlog\" for \"Backlog Grooming #1\", \"Alex\" for \"Alex-Beth 1:1\"). Categories are case-sensitive and matched exactly.\n\nAcross ALL events on... | [
"EnterpriseCalendarAPI"
] | calendar_weekly_recurring | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_self_conflict_0 | [
[
{
"role": "user",
"content": "I suspect someone's calendar tool is dropping or duplicating events — flag any employee whose own calendar has actual overlapping events as a data-quality issue.\n\nFind every employee whose own calendar contains OVERLAPPING events in [2026-03-16, 2026-03-27]. An over... | [
"EnterpriseCalendarAPI"
] | calendar_self_conflict | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_pairing_frequency_0 | [
[
{
"role": "user",
"content": "I want to see who collaborates with whom most often based on shared meeting attendance.\n\nInfer SHARED MEETINGS by matching events across employees. Two events are part of the same shared meeting if they have (a) identical title (case-sensitive), (b) identical UTC st... | [
"EnterpriseCalendarAPI"
] | calendar_pairing_frequency | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_calendar_fragmentation_0 | [
[
{
"role": "user",
"content": "I'm trying to spot people whose calendars are death-by-many-small-meetings vs. people who get long focus blocks.\n\nFor each employee with at least 1 event over [2026-03-16, 2026-03-27]:\n- event_count: total number of events (all rsvps).\n- total_meeting_hours: sum o... | [
"EnterpriseCalendarAPI"
] | calendar_fragmentation | {"EnterpriseCalendarAPI": {"metadata": {"current_date": "2026-03-16", "current_window_start": "2026-03-16", "current_window_end": "2026-03-27", "simulated_now_iso": "2026-03-16T07:00:00Z", "current_user_name": "Alex Reyes", "team_members": ["Alex Reyes", "Beth Chen", "Carlos Ortega", "Diana Park", "Evan Lin", "Fiona Wa... | null |
ptc_yelp_recent_drift_0 | [
[
{
"role": "user",
"content": "I write a weekly Italian-food newsletter for SF and I'm curious which restaurants' reputation has actually been shifting lately. Could you pull every Italian place on Yelp and compare each one's all-time average review rating to its average rating over the LAST 90 DAY... | [
"YelpAPI"
] | yelp_recent_drift | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_polarization_0 | [
[
{
"role": "user",
"content": "Picking a date-night spot and I want to avoid \"love it or hate it\" places — somewhere everyone agrees it's solid. Across our SF list (Italian, Sushi, Mexican, Cafe, and Bakery spots), among businesses with at least 5 reviews in the review history, which 3 have the m... | [
"YelpAPI"
] | yelp_polarization | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_price_grid_0 | [
[
{
"role": "user",
"content": "I'm sketching a quick write-up about how the SF dining scene splits by price tier. For each price level ($, $$, $$$, $$$$), I'd love the average business rating, total review count, and how many businesses fall in that tier.\n\nUse the BUSINESS-LEVEL fields here:\n -... | [
"YelpAPI"
] | yelp_price_grid | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_useful_top_0 | [
[
{
"role": "user",
"content": "I'm researching what makes a Yelp review actually useful to other people. Pull me the top 5 reviews by useful_count across every business in the dataset. I want to see who wrote it, on which business, the rating, and the useful count.\n\nRespond with JSON:\n- top5: li... | [
"YelpAPI"
] | yelp_useful_top | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_harsh_reviewers_0 | [
[
{
"role": "user",
"content": "I have a hunch a few Yelp users are basically impossible to please — they show up everywhere with low scores. Can you find the users (only counting users who've left at least 3 reviews) whose mean review rating is 2.5 or lower?\n\nRespond with JSON:\n- harsh_reviewers... | [
"YelpAPI"
] | yelp_harsh_reviewers | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_breadth_then_avg_0 | [
[
{
"role": "user",
"content": "I'm writing a piece about Yelp \"super-users\" in our food scene. Find the top 5 users by DISTINCT BUSINESSES REVIEWED (only counting users who've reviewed at least 3 different businesses). For each, I want their mean review rating across all their reviews and the lis... | [
"YelpAPI"
] | yelp_breadth_then_avg | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_top_then_latest_0 | [
[
{
"role": "user",
"content": "Putting together a \"popular Italian in SF\" guide piece. Take the 3 Italian restaurants with the highest business.review_count. For each one, also surface their MOST RECENT review (by created_at) — rating, useful_count, user_id, created_at, and the first 80 character... | [
"YelpAPI"
] | yelp_top_then_latest | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_review_threshold_0 | [
[
{
"role": "user",
"content": "For some market research I'm focusing on \"established\" food businesses across our SF set (Italian, Sushi, Mexican, Cafe, and Bakery spots) — ones with substantial review history. I want to use the strictest review-count threshold I can while still keeping my list at... | [
"YelpAPI"
] | yelp_review_threshold | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_category_pairs_0 | [
[
{
"role": "user",
"content": "I keep noticing SF food businesses tag themselves with multiple categories on Yelp — like \"Italian\" and \"wine bar\". For my research I want to know which CATEGORY PAIRS co-occur most often across our local food-business set, which spans Italian, Sushi, Mexican, Caf... | [
"YelpAPI"
] | yelp_category_pairs | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
ptc_yelp_cascade_search_0 | [
[
{
"role": "user",
"content": "Planning a friend's birthday and I really don't want to risk a bad pick. Help me find a SAFE BET. Try in this order:\n 1. STRICT tier: business.rating >= 4.5 AND business.review_count >= 8 AND mean review rating across reviews with created_at >= 2026-01-27 is also >=... | [
"YelpAPI"
] | yelp_cascade_search | {"YelpAPI": {"profile": {"name": "Sam Carter", "email": "sam.carter@example.com"}, "businesses": {"biz_1": {"business_id": "biz_1", "name": "Trattoria Bella", "address": "Mission St, San Francisco, CA", "rating": 4.6, "review_count": 82, "price_level": "$$$", "opening_hours": {"Monday": {"open": "11:30", "close": "22:0... | null |
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