Route a tour · A finished tour book · With and without Qloo · How it works

Routed books an independent artist's tour where their fans are dense, not where the cities are big. Name an artist, a starting city and the usual crowd. An agent reads Qloo's taste graph for the cities where that artist's fans are unusually dense, the rooms those fans already go to and the artists who share their audience. It routes and dates the tour by rules a booker would sign, sizes every room to the crowd, finds the neighbourhood in each city where the fans are, and drafts a hold request for every venue with each figure traced to its source. Run without Qloo, the same model sent Sierra Ferrell to Toronto (#202 on her fan map), Atlanta (#90) and Dallas (#89); Routed's cities averaged #6.

It is for the people who route tours without a data team: independent artists, their managers, and the small agencies and promoters who book them.

What a judge can check in a minute

• Press "Route the tour" on the home page (the form is pre-filled). A tour takes about a minute and streams its call sheet as it works: every Qloo question in plain words, with the exact request and what came back, and every rule that changed the agent's answer.
• Open any day sheet. The room holds a number with a source (Wikidata or a named web page) and fits the usual crowd, or it's a two-night stand, or the sheet says plainly what to ask the room. One support act plays every date. Under the date, a street-level map of the city: each dot a Qloo heatmap tile about 150 m across, the booked room marked, and the neighbourhood where the fans over-index most named from Qloo's own places there.
• Scroll to "The same model, without Qloo". The same model routed the same shows from memory before the agent looked anything up; both tours sit on one rank axis, scored on the artist's own heatmap.
• The benchmark runs that for twenty artists, and adds a head-to-head on a ruler Qloo didn't make: Qloo, the model alone and population against the cities 49 artists really played, 30 of them held out, with the protocol committed before it ran.
• Add to calendar gives the tour as an .ics file with every show, both nights of a two-night stand, travel days and days off; Open in email opens a pitch in your mail client; Print the tour book prints it. The tour book also says what the run cost: Qloo requests, model calls and tokens.

Why it needs Qloo

A manager deciding where to play has a streaming dashboard that counts plays, not people who'd buy a ticket, and a model that knows which cities are big. Neither says where this artist's fans are unusually dense, which rooms they go to, which neighbourhood they live in, or who they'd also turn up for. That is exactly what Qloo's graph holds.

Question a booker asks	Qloo call
Where do this artist's fans over-index?	/v2/insights filter.type=urn:heatmap, signal.interests.entities=<artist>, filter.location=<one WKT polygon per region>
Where inside this city?	/v2/insights filter.type=urn:heatmap, filter.location=POINT(<city>), filter.location.radius (a few hundred tiles about 150 m across)
Which rooms there do those fans go to, for a crowd this size?	/v2/insights filter.type=urn:entity:place, filter.tags chosen by the crowd's size tier, filter.location=POINT + radius; arenas and amphitheatres asked for on their own from a crowd of 3,000
Who should support?	/v2/insights filter.type=urn:entity:artist, signal.location, filter.popularity.max and .min (clearly smaller than the headliner, not unknown), then checked against Qloo's descriptions and genre tags
What do the headliner's fans and the support act's fans share?	/v2/analysis/compare a.signal.interests.entities=<headliner>, b.signal.interests.entities=<support> (style, genre and mood)
Who are the fans? All-ages or 21+?	/v2/insights filter.type=urn:demographics
What do they listen to, and how do they talk about it?	/v2/insights filter.type=urn:tag with filter.tag.types = urn:tag:genre:music, urn:tag:artist:qloo
Which podcasts, brands, films, TV and books?	/v2/insights filter.type=urn:entity:podcast / brand / movie / tv_show / book
Where would they see a poster, and go after?	/v2/insights filter.type=urn:entity:place with record store, bookshop and café tags within 2.5 km of the fans' hottest tile; then bar tags, per city
Is the audience growing?	/v2/trending (flat on the hackathon host for every artist tried, so it is shown only when it moves)
How well does each room match, ours and the model's?	/v2/insights filter.type=urn:entity:place, filter.results.entities=<every room on both tours>

A typical eight-show tour makes about 70 Qloo requests, 4 model calls and about 23,000 tokens. Every Qloo call is listed, with its plain-words question, the exact request (never the key) and the answer, at the end of its tour book.

With and without Qloo

Twenty artists, eight shows each, run on the live site on Oct 15, 2026 (first date May 6, 2027). The same model (Nemotron 3 Ultra), starting city and crowd size on both sides; the model alone gets the artist's name, Routed's agent gets Qloo. Each number is the average rank of a tour's cities among every touring city in the region on that artist's heatmap (lower is closer to the fans).

Routed's cities averaged #8.3. The same model without Qloo averaged #26.2.

Artist	Routed	Model alone	Cities in common	Strongest city the model missed	Weakest city it chose
Zach Bryan	#8.4	#73.0	1 of 8	Nashville (#1)	Los Angeles (#244)
Tyler Childers	#9.1	#59.4	2 of 8	Asheville (#2)	Chicago (#161)
Caamp	#8.9	#51.0	2 of 8	Asheville (#3)	Toronto (#142)
Waxahatchee	#10.5	#41.9	2 of 8	Austin (#4)	Atlanta (#101)
Khruangbin	#7.3	#33.6	2 of 8	San Francisco (#1)	Atlanta (#68)
Durand Jones & The Indications	#10.0	#36.3	2 of 8	New York (#3)	Indianapolis (#89)
Ghost	#8.1	#27.4	3 of 8	Kassel (#3)	Copenhagen (#70)
Knocked Loose	#6.0	#24.5	2 of 8	Philadelphia (#1)	Montreal (#53)
Turnstile	#6.1	#22.8	2 of 8	Los Angeles (#2)	Montreal (#47)
Cuco	#12.1	#27.4	2 of 8	San Diego (#4)	Toronto (#80)
MJ Lenderman	#6.8	#20.5	3 of 8	Chicago (#1)	Charleston (#50)
Parcels	#8.6	#16.4	4 of 8	Paris (#1)	Milan (#37)
Jamie xx	#6.0	#12.6	5 of 8	Brighton (#2)	Cardiff (#32)
Alvvays	#9.6	#14.8	6 of 8	Ottawa (#4)	Detroit (#33)
Arlo Parks	#6.0	#10.9	4 of 8	Brighton (#2)	Dublin (#27)
WET LEG	#6.1	#9.8	4 of 8	Brighton (#2)	Dublin (#32)
Japanese Breakfast	#9.3	#12.5	4 of 8	Austin (#5)	Toronto (#32)
Fontaines D.C.	#5.6	#8.4	6 of 8	Cork (#5)	Cardiff (#19)
JPEGMAFIA	#7.1	#7.9	7 of 8	Washington (#4)	Baltimore (#10)
Clairo	#13.4	#13.0	6 of 8	Montréal (#15)	Philadelphia (#26)

Qloo earns its keep where an artist's audience doesn't follow the population: the model alone sent Zach Bryan to Los Angeles (#244 on his map) and Tyler Childers to Chicago (#161), while Qloo put their strongest fans in Nashville and Asheville. The gap is smallest in the UK and Ireland, where touring cities are few and the biggest ones are also where the fans are, and for Clairo the model alone did slightly better.

Read this with Qloo's own ruler in mind: Routed chooses from the heatmap ranking it is then scored on, so the number shows how far a model routing from memory strays from where the taste graph puts the fans, not that the graph is right. The benchmark page says so, gives the median stop and the share of stops in each artist's top ten, shows the exact baseline prompt, and names where the model alone keeps up. A model-alone city is placed by its name, then by the named room's coordinates on Qloo, then by Qloo's locality search; a stop that resolves to a town with no touring city near it counts last, and one that can't be placed at all is left out rather than counted against the model.

The benchmark tours were routed on the build of Oct 15 (commit d81a398); their rooms were then re-sized under the stricter capacity reader and the bar, pub and orchestra-hall rules that landed the same day (/api/admin/resize, which changes rooms and nights, never cities). Fan-map ranks are unchanged by that.

The head-to-head: what Qloo changes, on a ruler Qloo didn't make

The benchmark above scores with Qloo's own heatmap, and the first outside check (below) came out a tie. Neither says what Qloo's data changes. So on Oct 18 we ran a fair test, with the protocol committed before it ran (the header of scripts/head-to-head.ts; two later changes are recorded there: one cut the model budget before the ablation ran, one fixed a name-matching gap in the model's favour).

• Ground truth: the cities each artist actually played on one recent headline tour. 49 artists: the 19 benchmark artists with a tour on file, and 30 held-out artists nobody here picked: the first 30 single-artist tours in Wikipedia's "2024 concert tours" and "2025 concert tours" categories, taken in SHA-256 order of the page title, with eight or more touring cities in one region, read off the article's date tables by a fixed rule (lib/wikitours.ts; festivals, cancelled and postponed shows left out). Every skipped page and why is in data/head-to-head/held-out.json.
• Test 1, four rankings of every touring city in the region: population (biggest metro first), the model alone (Nemotron 3 Ultra's own top 50 for the artist, no Qloo), Qloo (the artist's heatmap ranking, as Routed computes it) and Qloo + population (a city's two places averaged; no weight to tune). Each picks as many cities as the artist played (R); the score is how many were right (R-precision).
• Test 2, the agent with Qloo taken out: Routed's own shortlist step and city rules on the 19 benchmark tours, run with Qloo's table and with a table of the region's biggest cities instead, two runs each; the score is the share of the eight cities on the real tour.
• Per-artist differences, wins and losses, an exact sign test and a 95% bootstrap interval. Results: data/head-to-head/results.json, all on /proof.

Comparison (49 artists)	Score	Difference (95% interval)	Artists won–lost–tied	Sign test
Qloo + population vs population (primary)	54.1% vs 46.7%	+7.4 pts (+4.9 to +9.9)	36–7–6	p < 0.001
Qloo vs the model alone (primary)	45.3% vs 58.0%	−12.7 pts (−17.1 to −8.5)	7–36–6	p < 0.001
Qloo vs population	45.3% vs 46.7%	−1.3 pts (−5.4 to +2.7)	22–20–7	p = 0.88
The model alone vs population	58.0% vs 46.7%	+11.3 pts (+7.7 to +15.0)	37–8–4	p < 0.001
Qloo + population vs the model alone	54.1% vs 58.0%	−3.9 pts (−7.2 to −0.5)	13–30–6	p = 0.01
The model + Qloo vs the model alone (added after the results)	57.2% vs 58.0%	−0.8 pts (−3.2 to +1.7)	13–20–16	p = 0.30
Test 2: the agent with Qloo's table vs population's (19 tours)	48.7% vs 46.1%	+2.6 pts (−6.4 to +11.4)	9–8–2	p = 1.00

Split by set, Qloo + population beats population on the benchmark artists by 4.5 points (11–3–5, p = 0.06) and on the held-out artists by 9.3 (25–4–1, p < 0.001).

What it shows, plainly:

• Qloo's taste data carries real information about where an artist tours that population doesn't. Added to population it finds 7 more points of the real tour's cities, for 36 of 49 artists, on a ruler Qloo had no part in. That is the non-circular answer to "what does Qloo add".
• The model's own knowledge carries more. Asked from memory, Nemotron found 58% of the real cities, ahead of Qloo's ranking and of Qloo plus population. A model that has read these tours' announcements can recite where artists play; averaging Qloo into its ranking made no measurable difference.
• Inside the agent, eight picks can't tell Qloo from population (+2.6 points, not significant), just as the first outside check couldn't tell Routed from the model.
• So the honest claim is narrower than "Qloo picks better cities": Qloo says where an artist's fans over-index, which a population list doesn't know, and Routed builds on it (the fan map, the rooms those fans go to, the neighbourhood, the support act). At predicting what a booker actually did, a large model that may have read the announcements does better.

Limits: one tour per artist; a past tour is one booker's answer, made with ticket data neither side has; the model may have seen these tours in training (which favours it), and Qloo's signals may include check-ins at these shows (which favours Qloo); Wikipedia's tour articles lean to arena acts, where population is hard to beat. Cost: 61 Qloo requests (31 artist searches, 30 heatmaps), 125 model calls, about 156,000 tokens, about $0.30.

Artist by artist: real-tour cities found in each ranking's top R

Artist	Set	R	Population	Model alone	Qloo	Qloo + population
Alvvays	benchmark	17	1	0	0	0
Arlo Parks	benchmark	6	1	3	3	2
Caamp	benchmark	28	12	15	9	13
Clairo	benchmark	22	13	17	12	16
Cuco	benchmark	28	16	19	12	17
Durand Jones & The Indications	benchmark	34	24	19	24	27
Fontaines D.C.	benchmark	9	6	5	3	6
Ghost	benchmark	19	7	10	7	7
Japanese Breakfast	benchmark	11	5	5	5	5
JPEGMAFIA	benchmark	28	15	20	16	19
Khruangbin	benchmark	20	4	8	5	8
Knocked Loose	benchmark	20	4	4	5	4
MJ Lenderman	benchmark	24	5	7	6	7
Parcels	benchmark	5	2	3	2	2
Turnstile	benchmark	21	9	11	11	12
Tyler Childers	benchmark	27	10	7	7	6
Waxahatchee	benchmark	36	16	21	18	20
Wet Leg	benchmark	8	2	2	3	1
Zach Bryan	benchmark	43	20	16	13	22
21 Savage	held out	27	8	5	9	9
Addison Rae	held out	14	7	11	4	8
Ado	held out	12	5	6	1	4
Billy Joel	held out	54	34	38	28	42
Bonnie Tyler	held out	27	5	12	9	9
Chappell Roan	held out	57	33	41	34	42
Depeche Mode	held out	34	20	24	20	23
Doja Cat	held out	31	19	27	22	25
Dua Lipa	held out	10	4	7	5	5
Flo	held out	26	15	21	15	18
For King & Country	held out	48	19	14	20	24
Gary Barlow	held out	25	18	19	15	19
Green Day	held out	27	15	18	13	14
Halsey	held out	23	7	10	5	6
Kim Petras	held out	22	12	20	15	17
Ledisi	held out	29	13	16	17	17
Nicki Minaj	held out	41	26	29	23	31
Nine Inch Nails	held out	40	28	32	25	29
Omar Apollo	held out	26	15	19	12	17
Pierce the Veil	held out	37	15	21	20	19
Pink	held out	29	13	18	15	16
Queen + Adam Lambert	held out	27	15	19	3	13
Queens of the Stone Age	held out	15	5	10	10	9
Sugababes	held out	9	6	7	5	6
SZA	held out	28	17	15	18	23
Tame Impala	held out	25	16	21	13	18
The 1975	held out	36	20	28	23	23
Travis Scott	held out	31	17	21	17	22
Troye Sivan	held out	11	4	7	5	5
Twenty One Pilots	held out	44	25	25	23	30

The first outside check (Oct 15, kept as history)

A ruler Qloo didn't make. For 19 of the artists (no recent UK headline tour could be found for Jamie xx), data/real-tours.json holds the cities of one recent headline tour they announced and played, from Wikipedia tour articles, press listings and label releases, every source linked; festivals, support slots and in-stores left out. Suburbs and venue towns count as the touring city within 60 km (Morrison is Denver; Wolverhampton is Birmingham). How many of the cities each tour booked did the artist really play?

49% of Routed's cities were on the artist's real tour (74 of 152); 48% of the model alone's were (73 of 152). A tie. (Eight picks against a twenty- to forty-city tour mostly measure whether both sides named the big cities; the head-to-head above fixes that.)

Artist	Real tour	Routed's cities played	Model alone's cities played
Alvvays	Blue Rev tour, spring 2024 North American leg, 2024 (17 cities)	0 of 8	0 of 8
Arlo Parks	Ambiguous Desire world tour, opening UK album-launch run (April 2026), 2026 (6 cities)	3 of 8	3 of 8
Caamp	Copper Changes Color tour (2025 US tour), 2025 (28 cities)	3 of 8	4 of 8
Clairo	Charm Tour (2024 North American leg), 2024 (22 cities)	6 of 8	7 of 8
Cuco	Ridin' Tour (2025 North American leg), 2025 (28 cities)	7 of 8	5 of 8
Durand Jones & The Indications	Flowers Tour 2025 (fall North American tour), 2025 (34 cities)	8 of 8	6 of 8
Fontaines D.C.	Romance tour, UK and Ireland leg, 2024 (9 cities)	4 of 8	6 of 8
Ghost	Skeletour World Tour (2025 European leg), 2025 (19 cities)	5 of 8	5 of 8
Japanese Breakfast	The Melancholy Tour (spring 2025 North American leg), 2025 (11 cities)	1 of 8	2 of 8
JPEGMAFIA	Lay Down My Life Tour (2024 North American leg), 2024 (28 cities)	6 of 8	5 of 8
Khruangbin	A La Sala Tour 2024 (North American dates), 2024 (20 cities)	3 of 8	3 of 8
Knocked Loose	Fall 2024 North American headline tour, 2024 (20 cities)	2 of 8	1 of 8
MJ Lenderman	Manning Fireworks tour, winter 2025 North American leg (with Wild Pink), 2025 (24 cities)	0 of 8	3 of 8
Parcels	2025 European arena tour (LOVED era), 2025 (5 cities)	3 of 8	1 of 8
Turnstile	Never Enough Tour (fall 2025 North American leg), 2025 (21 cities)	7 of 8	2 of 8
Tyler Childers	Mule Pull '24 Tour (North American dates), 2024 (27 cities)	2 of 8	3 of 8
Waxahatchee	Tigers Blood Tour 2024, 2024 (36 cities)	8 of 8	7 of 8
WET LEG	moisturizer tour, autumn 2025 UK and Ireland leg, 2025 (8 cities)	2 of 8	4 of 8
Zach Bryan	The Quittin Time Tour, 2024 (43 cities)	4 of 8	6 of 8

What it means: Routed matches real touring as well as a model that may have read these very announcements, while booking cities about three times closer to where Qloo puts the fans. What it can't mean: a past tour is one booker's answer, made with ticket data neither side has, and a big act's tour plays twenty to forty cities, so eight good guesses can all be on it.

The booking rules

Each rule is deterministic, tested, and logged on the call sheet when it changes the agent's answer.

• Radius clause, by region: no two shows closer than 150 km in North America, 120 km in mainland Europe or 60 km in the UK and Ireland, where a real tour plays London and Brighton. Never between two major markets of 1.5 million or more: New York and Philadelphia each carry a show.
• Major markets stay: a city of 1.5 million or more in the artist's top ten is always on the tour when the route can reach it, and the smaller city inside its radius gives way. No UK tour without London.
• No leg over 1,800 km between two shows (two days in the van). A tour split across two coasts keeps the group with the artist's strongest cities and replaces the rest with cities that join it; a long leg left over is broken by the swap that gives up the least fan strength; one that no city with rooms can close stays, and its day sheet says so.
• Rooms sized to the crowd: a room holding 60–250% of the usual crowd for one night; failing that, 30–60% for two nights (both dates go on the calendar); then up to four times the crowd in a reduced configuration; then a room whose capacity couldn't be found (the sheet says to ask). A room known to miss by more is booked only when nothing else is left. No stadium below a 30,000 crowd, no housing, no gallery or art centre for 700+, no pub, bar or food-cart yard for 1,000+, no café or club for 3,000+, no orchestra's own hall for a rock, pop or hip-hop act.
• Capacities, one number per room: Wikidata's maximum-capacity property first (the item must be the room itself, not a hall inside it: Nordstrom Recital Hall is not Benaroya Hall), then a web page that names the room in whole words, names the city, and puts the number next to the name. Answers live in one versioned index, keyed by Qloo's room id, so a room never shows two numbers. Social posts, LinkedIn, YouTube and articles about planned buildings are not sources.
• One support act for the whole run, as on a real tour: the agent's most frequent pick. Never the headliner itself, a shared name, the headliner's own member or a member of another band (by Qloo's description: Grian Chatten fronts Fontaines D.C.; Kirk Hammett plays in Metallica), never as big as the headliner, and sharing a specific genre or two umbrella ones (no bluegrass under post-punk). The other artists each city suggested are listed as local options.
• The calendar: the shortest drive (nearest neighbour, then 2-opt), at most 8 hours of driving on a show day, travel days for longer jumps, a day off after five shows.
• Clean names: venue names cleaned for the poster ("Think Tank?" was one), two cities with one name printed with their state, and census-place market names replaced by the city a booker writes (Ashland, not Meads; Palm Springs, not Indio; Margate, not Saint Peters).

Inside each city

For every stop Routed asks Qloo for the heatmap of that one city: a few hundred tiles about 150 m across. A rule finds the hottest tile, names the neighbourhood from the shops and bars Qloo files there (with how Qloo characterises it: a creative hub, a historic district), measures the booked room against it, and anchors the poster run on it, so posters go up where the fans live. The map sits under the date on every day sheet, and the pitch can say "the venue sits in Buckman, where the heatmap shows the strongest concentration" because the evidence line does.

Use it from your own agent

Routed is also an MCP server (Streamable HTTP). Add https://routed-tours.vercel.app/api/mcp to any assistant that supports remote MCP servers and it gets five tools:

Tool	What it does
fan_map	Where an artist's fans over-index in North America, the UK and Ireland, or mainland Europe
fan_neighbourhoods	Where inside one city, with the record stores and cafés there for a poster run
fan_profile	Who the fans are: door advice, sound, mood, podcasts, brands, films, TV, books
route_tour	A whole tour in about a minute, with the dates, rooms, support act and a link to the tour book
get_tour	Reads back a tour book by its link

How it works

flowchart LR
  A[Artist + start city + crowd] --> S[Qloo search]
  S --> H[Heatmap: one polygon per region, tiles to ranked cities]
  S --> D[Audience: ages, sound, mood, podcasts, brands, film, TV, books]
  S -.-> G[Control: same model, no Qloo]
  H --> L[1 Shortlist: model]
  L --> C[2 Scout: rooms by size tier + support acts per city]
  C --> B[3 Book: model picks rooms + one support act]
  B --> R[Rules: radius, major markets, legs, room sizes, nights, support act, route, dates]
  R --> N[Per stop: city heatmap, neighbourhood, poster run, aftershow, shared tastes]
  N --> W[Pitches: model writes, every figure checked]
  G --> X[Score both tours on Qloo evidence]
  R --> X
  X --> O[Outside check: real past tours]

Loading

• The agent (NVIDIA Nemotron 3 Ultra on Nebius Token Factory) works in three moves: it shortlists cities from the ranked heatmap with a few alternates, Routed scouts each one through Qloo, and the model books a room per city and one support act for the run. Every call returns strict JSON with reasoning off.
• Rules decide what must be exact (above). When a rule changes the room the model chose, the model's sentence about the stop is replaced by a rule's, so a wrong name never stays on the page.
• Pitches are checked: Nemotron writes each hold request from that stop's evidence lines only; every number in it must appear in the evidence (a two-night stand names both dates) or it is struck through on the page. A stop's one-line reason is checked against what the booking agent was shown for that city.
• City strength is a tile's Qloo affinity times its popularity, both from one heatmap call per region. Affinity and popularity are percentiles within the response they came in (measured: both run evenly from 0 to 1 in every response), so two countries asked separately would each have a "1.0" tile; one polygon, one scale.
• The artist someone typed wins over Qloo's first guess ("Wednesday" is not "Wednesday Campanella"), and the other matches are offered on the tour book.
• Fallbacks: with no model key, a spent daily budget or a model error, the same steps run as a fixed plan with template pitches, and the tour book says which ran. A run survives a closed tab; the record is saved as it goes.

Run it

git clone https://github.com/RohanGlitched/routed && cd routed
npm install
cp .env.example .env.local   # then fill in the keys
npm run dev                  # http://localhost:3000
npm test                     # 67 unit tests: every booking rule, scoring, capacity parsing, evidence checks (both nights of a two-night stand), the outside check, the head-to-head's scoring and tour-table reader, the city map, the calendar file

Variable	Needed for
QLOO_API_KEY	Every Qloo call (hackathon host https://hackathon.api.qloo.com, header X-Api-Key)
QLOO_BASE_URL	Optional, defaults to the hackathon host
NEBIUS_API_KEY	The agent, the control group and the pitches. Without it, the fixed plan and template pitches run
TAVILY_API_KEY	Optional: room capacities use Wikidata first and Tavily's keyless mode second; set TAVILY_USE_KEY=1 to search with this key instead
GCS_BUCKET + GCS_WIF_AUDIENCE	Tours, the daily counters and the room index in a Google Cloud Storage bucket, keyless: the function's Vercel OIDC token is exchanged for a token on the bucket (or GCS_SA_KEY, a base64 service-account JSON; or BLOB_READ_WRITE_TOKEN for Vercel Blob). Without any, tours are files under .data/
DAILY_MODEL_CAP, QLOO_DAILY_CAP, MCP_DAILY_CAP	Daily allowances for the public demo (model runs, Qloo requests, tours routed through the MCP endpoint)
ADMIN_TOKEN	Optional: shelving tours, the benchmark (scripts/bench.mjs), re-sizing stored tours and adding measured capacities

scripts/head-to-head.ts runs the head-to-head (sample, run, score; its header is the protocol). node scripts/probe-qloo.mjs "Artist" measures every Qloo call Routed depends on and saves the raw responses (gitignored: Qloo's data isn't published here). node scripts/bench.mjs <url> runs the benchmark; npx tsx scripts/bench-table.ts <url> <ids> prints the two tables above from the finished tours; scripts/measure-rooms.ts measures rooms a live run couldn't (Wikidata rate-limits shared serverless addresses) and adds them to the live index.

What Routed doesn't know

• Qloo affinity says where fans over-index, not how many tickets will sell. It's the first question a booker asks, not the last. The main benchmark measures with Qloo's own ruler and says so. Against real tours, Qloo adds to population (+7.4 points, 36 of 49 artists), but the model alone predicts past tours better than Qloo does, and inside the agent the two can't be told apart on eight picks.
• About a quarter of booked rooms still have no confirmed capacity (clubs Wikidata doesn't know, pages that don't say); the sheet says to ask the room.
• Availability, holds, offers, guarantees and ticket prices come from the rooms; the pitch asks for them. The radius clause is distance, not time, and festival weeks aren't checked.
• The figure check asks whether each number in a pitch appears in the stop's evidence. A true figure written another way is struck; a wrong figure that happens to match another number passes.
• Qloo's trend series is flat on the hackathon host for every artist tried, so momentum is shown only when it moves.
• Nothing here has been validated with a working booker yet.
• Routed sends Qloo only public names (artists, cities, venues). It collects no personal data.

Credits

Taste data from Qloo. Agent and pitches by NVIDIA Nemotron on Nebius Token Factory. Capacities via Wikidata and Tavily. Cities from GeoNames (CC BY 4.0); coastlines from Natural Earth. Real tour dates from the Wikipedia articles and press listings linked in data/real-tours.json. Type: Big Shoulders and Schibsted Grotesk.

MIT licence.