> ## Documentation Index > Fetch the complete documentation index at: https://artemis.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # List Decline-Streak Insight Cards > Entities where a metric has decreased for `DURATION` consecutive periods. Same card shape as [growth streaks](#tag/Insights/operation/listStreakInsights); `END_VALUE < START_VALUE` is the distinguishing signal. `SPARKLINE` includes a longer lead-in window (12+ periods) so the chart shows the full peak-to-decline arc. Cards are sorted by `PERIOD_END_DATE` descending — most recent declines first. Related: [`list_all_time_lows`](#tag/Insights/operation/listAtlInsights) for declines that bottomed out at a record. ## OpenAPI ````yaml /openapi.documented.json get /insights/decline-streaks/ openapi: 3.1.0 info: title: Artemis API version: 1.0.0 description: > Enterprise API for Artemis metrics, stablecoins, and flows. ## Authentication All endpoints authenticate via an API key. The simplest pattern when using the Python SDK is to set the `ARTEMIS_API_KEY` environment variable — the SDK will pick it up automatically: ```bash export ARTEMIS_API_KEY="your-key-here" ``` ```python from artemis import Artemis client = Artemis() # reads ARTEMIS_API_KEY from env ``` Endpoints under `/data/api/*` and `/flows/top/` also accept the key as an `APIKey` query parameter — the snippets below pass `api_key=os.environ["ARTEMIS_API_KEY"]` to populate it explicitly. servers: - url: https://data-svc.artemisxyz.com security: [] tags: - name: Core Artemis Assets description: Endpoints for general asset data - name: Stablecoins description: Endpoints for stablecoin-specific metrics - name: Flows description: Endpoints for inflows, outflows, and netflows - name: Equities description: > Typed convenience endpoints for equity coverage, scoped to metrics that are **comparable across equities** (valuation ratios, core P&L line items, price). Symbols are prefixed with `eq-` — e.g. `eq-nvda`, `eq-meta`, `eq-coin`. Discover valid symbols via [List Supported Assets](#tag/Core-Artemis-Assets/operation/listAssetSymbols). Three methods: - [`fetch_price`](#tag/Equities/operation/fetchEquityPrice) — daily closing price - [`fetch_financials`](#tag/Equities/operation/fetchEquityFinancials) — 7 quarterly P&L line items (Revenue, Net Income, EBITDA, Operating Income, FCF, Basic EPS, Diluted EPS) - [`fetch_valuation_metrics`](#tag/Equities/operation/fetchEquityValuationMetrics) — 7 valuation ratios (EV/Revenue, EV/Earnings, EV/EBITDA, EV/FCF, P/FCF, Earnings Yield, FCF Yield) **The long tail lives elsewhere.** Artemis tracks many more equity metrics under the hood — company-specific KPIs (Trading Volume for COIN, DAP/ARPP for META, Data Center Revenue for NVDA), regional breakdowns, segment-level revenue, and so on. Discover what's available for a given symbol via [List Available Metrics](#tag/Core-Artemis-Assets/operation/listSupportedMetrics), then query via the generic [Fetch Metrics](#tag/Core-Artemis-Assets/operation/fetchMetrics) endpoint. - name: Insights description: > Pre-computed insight cards across Artemis's coverage — "asset X's metric Y hit a new all-time high", growth streaks, decline streaks, and accelerating trends. Each endpoint returns a feed of cards covering crypto protocols, stablecoins, and equities in one response. This is the same data rendered on [artemis.ai/insights](https://www.artemis.ai/insights). Five card-producing endpoints, all parameterless `GET`s: - [`list_all_time_highs`](#tag/Insights/operation/listAthInsights) — new ATH events - [`list_all_time_lows`](#tag/Insights/operation/listAtlInsights) — new ATL events - [`list_growth_streaks`](#tag/Insights/operation/listStreakInsights) — N consecutive periods of growth - [`list_decline_streaks`](#tag/Insights/operation/listDeclineStreakInsights) — N consecutive periods of decline - [`list_acceleration_signals`](#tag/Insights/operation/listAccelerationInsights) — rate of change itself accelerating **Caching.** Each endpoint is cached server-side for one hour. The first call after cache expiry can take up to a minute as the underlying Snowflake query runs; subsequent calls within the hour are sub-second. paths: /insights/decline-streaks/: get: tags: - Insights summary: List Decline-Streak Insight Cards description: > Entities where a metric has decreased for `DURATION` consecutive periods. Same card shape as [growth streaks](#tag/Insights/operation/listStreakInsights); `END_VALUE < START_VALUE` is the distinguishing signal. `SPARKLINE` includes a longer lead-in window (12+ periods) so the chart shows the full peak-to-decline arc. Cards are sorted by `PERIOD_END_DATE` descending — most recent declines first. Related: [`list_all_time_lows`](#tag/Insights/operation/listAtlInsights) for declines that bottomed out at a record. operationId: listDeclineStreakInsights responses: '200': description: A feed of decline-streak insight cards. content: application/json: schema: $ref: '#/components/schemas/InsightTrendCardsResponse' example: rows: - DOMAIN: protocol ENTITY_ID: optimism METRIC_NAME: DAILY_TXNS FLAG: decline_streak_weekly UNIT: NOMINAL METRIC_TYPE: flow DURATION: 5 DATE_RANGE: 2026-04-08 to 2026-05-12 START_VALUE: 1480000 END_VALUE: 920000 PERIOD_START_DATE: '2026-04-08' PERIOD_END_DATE: '2026-05-12' FISCAL_YEAR_END: null FISCAL_PERIOD_END: null LATEST_REPORT_DATE: null SPARKLINE: - date: '2026-04-01' value: 1620000 - date: '2026-04-08' value: 1480000 - date: '2026-04-15' value: 1340000 x-codeSamples: - lang: python source: | from artemis import Artemis client = Artemis() response = client.insights.list_decline_streaks() # The 5 most recent decline streaks: for card in response.rows[:5]: cadence = card.flag.split("_")[-1] drop_pct = (1 - card.end_value / card.start_value) * 100 if card.start_value else 0 print( f"{card.entity_id} {card.metric_name}: " f"{card.duration} consecutive {cadence} periods of decline " f"(-{drop_pct:.1f}% over {card.date_range})" ) components: schemas: InsightTrendCardsResponse: type: object properties: rows: type: array items: $ref: '#/components/schemas/InsightTrendCard' required: - rows InsightTrendCard: type: object description: >- An insight card for a growth streak, decline streak, or accelerating trend. properties: DOMAIN: type: string ENTITY_ID: type: string METRIC_NAME: type: string FLAG: type: string description: >- Trend flag identifier (e.g. `streak_weekly`, `decline_streak_monthly`, `accel_quarterly`). UNIT: type: string METRIC_TYPE: type: string DURATION: type: integer description: Number of consecutive periods in the streak / acceleration window. DATE_RANGE: type: string description: Human-readable date range string (e.g. `2026-04-01 to 2026-05-05`). START_VALUE: type: - number - 'null' END_VALUE: type: - number - 'null' PERIOD_START_DATE: type: - string - 'null' format: date PERIOD_END_DATE: type: - string - 'null' format: date FISCAL_YEAR_END: type: - number - 'null' description: Fiscal year for the period end (equity cards only). FISCAL_PERIOD_END: type: - string - 'null' description: Fiscal period label for the period end (equity cards only). LATEST_REPORT_DATE: type: - string - 'null' format: date SPARKLINE: type: array items: $ref: '#/components/schemas/InsightSparklinePoint' required: - DOMAIN - ENTITY_ID - METRIC_NAME - FLAG - SPARKLINE InsightSparklinePoint: type: object properties: date: type: string format: date value: type: - number - 'null' required: - date - value ````