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Cohorts & narratives

Cohorts are groups of Fomo users whose collective activity you track — algorithmic cohorts built from point-in-time author metrics, or your own. Narratives cluster theses by topic so you can watch attention rotate.

Algorithmic cohorts

Rebuilt from author metrics and snapshotted daily, with minimum sample sizes and at most 50 members. History uses the membership snapshot as of each moment — never today's membership.

CohortDefinition
Historically Early
historically-early
Authors with a research score ≥ 70 whose calls historically preceded major moves by a median of 12 hours or less (≥ 15 resolved calls).
research_score_min: 70 · median_lead_time_max_min: 720 · resolved_calls_min: 15
AI Specialists
ai-specialists
Authors whose resolved AI calls score ≥ 70 on sector strength (at least 8 resolved AI calls).
sector: nar_ai-agents · sector_score_min: 70 · sector_calls_min: 8
Gaming Specialists
gaming-specialists
Authors whose resolved Gaming calls score ≥ 70 on sector strength (at least 8 resolved Gaming calls).
sector: nar_gaming · sector_score_min: 70 · sector_calls_min: 8
High-Consistency Posters
high-consistency
Authors whose weekly hit rates vary little (consistency ≥ 75) across at least 20 resolved calls.
consistency_min: 75 · resolved_calls_min: 20
High False-Positive Accounts
high-false-positive
Authors where ≥ 60% of resolved calls saw no major move and a negative 3-day return (≥ 15 resolved calls). Tracked as a contrast cohort.
false_positive_rate_min: 0.6 · resolved_calls_min: 15

Your own cohorts

Group any handles (“AI Builders”, 12 users) and track their collective activity, tokens and convergence. Creating cohorts needs a plan with cohorts (Pro or Team); Team cohorts can be shared with your workspace. Algorithmic cohorts are visible to everyone.

Convergence

A cohort converges on a token when at least max(3, min(5, ⌈15% of the cohort⌉)) distinct members post on it within 60 minutes — 3 for a 12-member cohort, 5 for a 50-member one, so large cohorts can still converge. Each event is recorded once per cohort, token and window and reads like: “7 / 12 users posted on $XYZ within 38 minutes”.

The Smart Cohort score (smart_cohort-v1.0) rates the best convergence in the last 24h: participation 35 pts (members / min(cohort size, 10)), time clustering 25, cohort quality 25 and rarity 15 (how unusual this co-occurrence is historically). Token scores are public, so only auto cohorts feed the Smart Cohort score; your manual cohorts stay private and drive your own convergence events and alerts. Convergence events are also delivered as cohort.convergence stream events and webhooks — for a manual cohort only to its owner (or its team, when shared).

Narratives

Each thesis is classified (narrative-v1.1) by transparent rules, in tiers. First, specific evidence: word-boundary keywords in its text (links stripped) plus the token's identity — words and ticker stems in its symbol and name (“SWORDCAT” → Meme), the token being a tokenized stock or its main pool pairing it against one (Robinhood Chain stock tokens, xStocks …) → Tokenized Stocks, a VIRTUAL pair → AI Agents, and GeckoTerminal's categories for the token. The identity counts as two keyword hits, split across its narratives. If nothing specific matches, a token launched on a memecoin launchpad (pump.fun, bonk.fun, Bags, flap.sh, a launchpad bonding curve) counts as Meme (“launchpad-born”). Ambiguous words such as “pump”, “moon”, “game” or “community” are not read in the text. Theses with no signal at all go to Other. A token's narrative is the vote of its theses up to that moment (a thesis's first narrative counts double), and every token page says which rule fired. Narrative snapshots are taken hourly: theses, authors, new authors, attention share, 24h growth, top tokens and top contributors — which feed rotation (attention-share change) and the narrative × time heatmap.

NarrativeCovers
AI Agents
ai-agents
Autonomous agents, AI infra and model-linked tokens.Keywords: ai, agent, agents, agentic, llm, gpt, model, inference, autonomous, bot, …
Gaming
gaming
Games, play-to-earn, gaming guilds and metaverse.Keywords: game, gaming, gamefi, play, p2e, esports, metaverse, arcade, guild, quest, …
DePIN
depin
Decentralised physical infrastructure: networks, sensors, storage, bandwidth.Keywords: depin, infrastructure, wireless, sensor, storage, bandwidth, hotspot, gpu network, mapping, iot, …
RWA
rwa
Real-world assets: treasuries, credit, commodities, real estate.Keywords: rwa, real world, real-world, treasury, treasuries, bond, credit, commodity, gold, real estate, …
Tokenized Stocks
tokenized-stocks
Stock tokens and equity-linked assets (e.g. Robinhood Chain stock tokens).Keywords: stock, stocks, equity, earnings, nasdaq, nyse, s&p, shares, ipo, etf, …
Consumer
consumer
Consumer apps, social, payments and creator economy.Keywords: consumer, social, app, payments, creator, fan, music, fashion, food, travel, …
Meme
meme
Memecoins and culture tokens.Keywords: meme, memecoin, dog, cat, frog, pepe, doge, inu, wif, bonk, …
Launchpads
launchpads
Token launch platforms, bonding curves and launch infrastructure.Keywords: launchpad, launch, bonding curve, pump, fair launch, presale, ido, graduation, graduated
DeFi
defi
Exchanges, lending, perps, stablecoins and yield.Keywords: defi, dex, lending, borrow, perp, perps, yield, liquidity, amm, stablecoin, …
Infra & L1/L2
infra
Chains, rollups, bridges, oracles and developer infrastructure.Keywords: l1, l2, layer 2, rollup, chain, bridge, oracle, zk, validator, rpc, …
Other
other
Theses that match no narrative with enough confidence.

Endpoints

Example responses use illustrative values ($XYZ, example_rhea, a placeholder address) — not real tokens or authors; every field name and shape is exactly what the API returns. Long sections are collapsed as { … }.

GET/v1/quant/cohorts
scope cohorts:read

Algorithmic cohorts plus the cohorts you own (or share with your team).

Parameters

NameDescription
kind
query · manual | auto | all
Filter by cohort kind.Default all
  • kindquery · manual | auto | all
    Filter by cohort kind.
    Default all
curl "https://fomoquant.app/v1/quant/cohorts?kind=auto" \
  -H "Authorization: Bearer $FOMOQUANT_API_KEY"
GET/v1/quant/cohorts/{id}
scope cohorts:read

Members, collective activity, tokens, active signals and convergence events.

Parameters

NameDescription
idrequired
path · cohort_…
Cohort id.
  • idpath · cohort_…required
    Cohort id.
curl "https://fomoquant.app/v1/quant/cohorts/cohort_h3k8m2q9x4v7c1d6b5n0" \
  -H "Authorization: Bearer $FOMOQUANT_API_KEY"
GET/v1/quant/narratives
scope narratives:read

Narrative map: attention share, 24h growth, authors, top tokens and top contributors.

curl "https://fomoquant.app/v1/quant/narratives" \
  -H "Authorization: Bearer $FOMOQUANT_API_KEY"
GET/v1/quant/narratives/rotation
scope narratives:read

Attention-share change per narrative.

Parameters

NameDescription
window
query · 24h | 7d
Comparison window.Default 24h
  • windowquery · 24h | 7d
    Comparison window.
    Default 24h
curl "https://fomoquant.app/v1/quant/narratives/rotation?window=24h" \
  -H "Authorization: Bearer $FOMOQUANT_API_KEY"
GET/v1/quant/narratives/heatmap
scope narratives:read

Narrative × time matrix with raw values and per-row intensity (0–1).

Parameters

NameDescription
metric
query · theses | author_growth
Cell value.Default theses
bucket
query · 1h | 6h | 1d
Column width.Default 1h
range
query · 48h | 7d | 30d
Time range.Default 48h
  • metricquery · theses | author_growth
    Cell value.
    Default theses
  • bucketquery · 1h | 6h | 1d
    Column width.
    Default 1h
  • rangequery · 48h | 7d | 30d
    Time range.
    Default 48h
curl "https://fomoquant.app/v1/quant/narratives/heatmap?metric=theses&bucket=1h&range=48h" \
  -H "Authorization: Bearer $FOMOQUANT_API_KEY"
GET/v1/quant/narratives/{slug}
scope narratives:read

One narrative.

Parameters

NameDescription
slugrequired
path · slug
Narrative slug, e.g. ai-agents.
  • slugpath · slugrequired
    Narrative slug, e.g. ai-agents.
curl "https://fomoquant.app/v1/quant/narratives/ai-agents" \
  -H "Authorization: Bearer $FOMOQUANT_API_KEY"

FomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.