> ## Documentation Index > Fetch the complete documentation index at: https://docs.dexploit.dev/llms.txt > Use this file to discover all available pages before exploring further. # Trending tokens > Tokens with the highest momentum over the requested window. The score compares the current window to the prior equal-length window, so a token that suddenly accelerates ranks above a steady high-volume token. Brand-new mints with no prior-window activity get a fast-riser boost. Pass `include_score=true` to expose the per-component `formula_breakdown` so you can re-sort client-side. **Rug filter:** tokens whose price collapsed by 90% or more inside the window are excluded by default — their activity is rug-watchers piling in, not organic demand. Set `include_rugged=true` to opt in. **Pagination:** use `offset` + `limit` to page through the scored list. The response carries `total` (how many candidates were scored before slicing), `offset`, and `limit` so you can detect end-of-list. Pricing/liquidity are USD via the Pyth SOL/USD oracle. ## OpenAPI ````yaml /api-reference/openapi.json get /trending openapi: 3.1.0 info: title: Dexploit API version: 1.0.0 description: Real-time and historical Solana DEX swap and OHLCV data. servers: - url: https://api.dexploit.dev description: Production security: - ApiKeyHeader: [] - BearerAuth: [] - ApiKeyQuery: [] paths: /trending: get: tags: - Stats & trends summary: Trending tokens description: >- Tokens with the highest momentum over the requested window. The score compares the current window to the prior equal-length window, so a token that suddenly accelerates ranks above a steady high-volume token. Brand-new mints with no prior-window activity get a fast-riser boost. Pass `include_score=true` to expose the per-component `formula_breakdown` so you can re-sort client-side. **Rug filter:** tokens whose price collapsed by 90% or more inside the window are excluded by default — their activity is rug-watchers piling in, not organic demand. Set `include_rugged=true` to opt in. **Pagination:** use `offset` + `limit` to page through the scored list. The response carries `total` (how many candidates were scored before slicing), `offset`, and `limit` so you can detect end-of-list. Pricing/liquidity are USD via the Pyth SOL/USD oracle. operationId: listTrending parameters: - name: window in: query required: false schema: type: string enum: - 1m - 5m - 15m - 1h - 4h - 6h - 24h default: 1h description: Trend window. - name: limit in: query required: false schema: type: integer default: 20 minimum: 1 maximum: 200 description: Page size — number of results to return. - name: offset in: query required: false schema: type: integer default: 0 minimum: 0 maximum: 200 description: >- Page offset — skip the first N scored results. Combined with `limit` for stable-cache-window pagination. - name: sector in: query required: false schema: type: string description: Restrict to one sector tag (e.g. `meme`, `defi`). - name: include_score in: query required: false schema: type: boolean default: false description: Add `trending_score` and `formula_breakdown` to each result. - name: include_rugged in: query required: false schema: type: boolean default: false description: >- Include tokens whose price dropped by 90% or more inside the window. Default `false`. - name: extra_windows in: query required: false schema: type: string description: >- Comma-separated list (max 3) of additional windows to populate `change_pct_by_window` on each result (e.g. `5m,24h`). Each extra window is one parallel ClickHouse query, so don't ask for more than you'll use. responses: '200': description: Trending list content: application/json: schema: type: object properties: window: type: string sector: type: - string - 'null' results: type: array items: $ref: '#/components/schemas/TrendingResult' total: type: integer description: >- Scored candidates before pagination slicing. When `offset + limit >= total`, you've reached the end. offset: type: integer description: Echo of the effective `offset` (0 if unset). limit: type: integer description: Echo of the effective `limit`. examples: default: summary: 1-hour trending, first page value: window: 1h sector: null results: - mint: DMcu8numYJ9eExLoG3MUvhByPwSMLttUy2S53auk7MfE change_pct: 1054.85 liquidity_usd: 250.1 price_usd: 0.001552 volume_usd: 7288.25 trending_score: 77.51 formula_breakdown: vol_velocity: 13.34 unique_buyers: 46.16 vol_acceleration: 12 buyer_acceleration: 6 dev_sell_penalty: 0 holder_growth: null top10_penalty: null total: 96 offset: 0 limit: 20 components: schemas: TrendingResult: type: object description: >- One token in a /trending response. Volume and liquidity are in USD via the Pyth SOL/USD oracle. properties: mint: type: string change_pct: type: - number - 'null' description: >- Price change percent over the trending `window`. `null` when the window contains only one swap or the start price was zero. liquidity_usd: type: - number - 'null' price_usd: type: number volume_usd: type: number trending_score: type: number description: >- Composite score (only present when `include_score=true`). Higher = more momentum. formula_breakdown: type: object description: >- Per-component contribution to `trending_score`. Only present when `include_score=true`. All components sum to `trending_score`. properties: vol_velocity: type: number description: '`ln(volume_sol) * 1.5` — log-scaled raw volume.' unique_buyers: type: number description: '`sqrt(unique_buyers) * 1.2` — keeps small coins competitive.' vol_acceleration: type: number description: >- `ln(vol_now / vol_prior) * 4`, clamped to `[-8, 12]`. Brand-new mints with no prior-window activity get a fixed `+4` boost so first-window tokens can surface. This is the dominant momentum term. buyer_acceleration: type: number description: >- `((buyers_now - buyers_prior) / max(buyers_prior, 1)) * 2`, clamped to `[-2, 6]`. Percent-change in unique buyers vs the prior window. dev_sell_penalty: type: number description: >- Negative. `-min(dev_sell_sol * 0.5, 20)` — capped subtraction per SOL sold by the token's creator. holder_growth: type: - number - 'null' description: Reserved for future use. Always `null` today. top10_penalty: type: - number - 'null' description: Reserved for future use. Always `null` today. change_pct_by_window: type: object description: >- Populated only when `extra_windows=...` was set on the request. Keys are the window strings you asked for (e.g. `"5m"`, `"24h"`); values are the price change percent for that window, or `null` if no price reference at window start. additionalProperties: type: - number - 'null' securitySchemes: ApiKeyHeader: type: apiKey in: header name: X-API-Key description: >- Preferred for swaps-api endpoints (`/swaps/*`, `/stats/*`, `/trending`, `/pool-events`). BearerAuth: type: http scheme: bearer description: >- Required by the OHLCV endpoints (`/api/v1/*`) and accepted by every other endpoint. Send `Authorization: Bearer ohlcv_live_sk_`. ApiKeyQuery: type: apiKey in: query name: api_key description: >- Browser-friendly alternative to the Bearer header — accepted by every endpoint and required for WebSocket from the browser. ````