DSCVR Intelligence Skill

Query DSCVR's crypto intelligence APIs to retrieve market news events, event categories, and detailed event analysis. All API calls are authenticated via HMAC-SHA256 signing.

Prerequisites

Before using this skill, ensure:

1. uv is installed — see docs.astral.sh/uv
2. Python 3.10+ is available (uv can install it for you: uv python install 3.10)
3. API credentials are configured — you need an api_key and secret_key obtained from a DSCVR subscription at dscvr.one/subscription.

No manual pip install needed — scripts declare their dependencies inline via PEP 723, and uv run resolves them automatically.

Configuration

The skill needs two environment variables (or they can be passed as arguments to scripts):

Available Tools

1. Get Event Categories

Retrieve all available news event categories.

uv run scripts/dscvr_api.py categories

Returns a list of event categories with id, name, and image_url.

2. Get Event List

Retrieve paginated news events, optionally filtered by category and date.

uv run scripts/dscvr_api.py events [--category CATEGORY] [--date YYYY-MM-DD] [--page N] [--limit N]

Parameters:

• --category: Filter by category name (optional)
• --date: Filter by date in YYYY-MM-DD format (optional)
• --page: Page number, starting from 1 (default: 1)
• --limit: Results per page (default: 10)

3. Get Event Detail

Retrieve detailed information about a specific event.

uv run scripts/dscvr_api.py event-detail --event-id EVENT_ID

Parameters:

• --event-id: The event ID (required)

4. Smart Money Traders

List smart money traders with rich filtering options.

uv run scripts/dscvr_api.py smart-money [--keyword KW] [--win-rate HOT,STEADY,REVERSE] [--position-state ACTIVE,STREAK,SAFE] [--tx-size WHALE,MID,SMALL] [--style SWING,DIAMOND,HOT_ONLY] [--identity BOT,HUMAN,INSIDER] [--category politics,crypto,...] [--sort FIELD] [--ascending] [--page N] [--limit N]

Parameters:

• --keyword: Fuzzy search by name or bio (optional)
• --win-rate: Win rate filter, comma-separated: HOT, STEADY, REVERSE (optional)
• --position-state: Position state, comma-separated: ACTIVE, STREAK, SAFE (optional)
• --tx-size: Transaction size, comma-separated: WHALE, MID, SMALL, SMALL_LOSS, MID_LOSS (optional)
• --style: Position style, comma-separated: SWING, DIAMOND, HOT_ONLY (optional)
• --identity: Identity type, comma-separated: BOT, HUMAN, INSIDER (optional)
• --category: Domain category, comma-separated: politics, sports, crypto, economy, elections, culture, finance, mentions, world, geopolitics, earnings, climate_science, tech (optional)
• --sort: Sort field: TOTAL_PNL, WIN_RATE, TOTAL_TRADE_COUNT, TOTAL_TURNOVER, AVG_HOLD_TIME (default: TOTAL_PNL)
• --ascending: Sort ascending instead of descending (optional)
• --page: Page number (default: 1)
• --limit: Results per page (default: 20, max: 100)

5. Prediction Market Categories

List all available prediction market categories.

uv run scripts/dscvr_api.py market-categories [--source polymarket]

Parameters:

• --source: Data source (default: polymarket)

6. Prediction Market Listings

Browse prediction markets with filtering and smart money signals.

uv run scripts/dscvr_api.py markets [--source SRC] [--category CAT] [--smart-filter all|smart_money] [--sort FIELD] [--page N] [--limit N]

Parameters:

• --source: Data source (default: polymarket)
• --category: Category filter (default: all)
• --smart-filter: all or smart_money — filter to only show events with smart money activity (default: all)
• --sort: Sort field (prefix with - for ascending): smart_money_activity, volume_24h, liquidity, close_time
• --page: Page number (default: 1)
• --limit: Results per page (default: 20, max: 100)

7. Event Traders

Get smart money traders and their positions for a specific prediction market event.

uv run scripts/dscvr_api.py event-traders --event-id EVENT_ID [--page N] [--limit N]

Parameters:

• --event-id: The event ID (required)
• --page: Page number (default: 1)
• --limit: Results per page (default: 5, max: 10)

8. AI Discovery Categories

List all AI discovery event categories.

uv run scripts/dscvr_api.py ai-categories

9. AI Discovery Events

Browse AI-curated prediction market events with filters.

uv run scripts/dscvr_api.py ai-events [--category CAT] [--platform PLAT] [--active] [--page N] [--limit N]

Parameters:

• --category: Category filter (default: All)
• --platform: Platform filter (optional)
• --active: Only show active events (optional)
• --page: Page number (default: 1)
• --limit: Results per page (default: 10)

10. AI Event Search

Search AI discovery events by keyword.

uv run scripts/dscvr_api.py ai-search --query KEYWORD [--page N] [--limit N]

Parameters:

• --query: Search keyword (required)
• --page: Page number (default: 1)
• --limit: Results per page (default: 10)

11. AI Event Detail

Get detailed AI analysis for a specific event.

uv run scripts/dscvr_api.py ai-event-detail --provider PROVIDER --event-id EVENT_ID

Parameters:

• --provider: Provider name (required)
• --event-id: Event ID (required)

12. Market Orderbook

Get orderbook depth data for a prediction market.

uv run scripts/dscvr_api.py ai-orderbook [--kalshi-id ID] [--polymarket-id ID]

Parameters:

• --kalshi-id: Kalshi market ID (optional)
• --polymarket-id: Polymarket market ID (optional)
• At least one ID is required.

13. Social GraphQL

Query the DSCVR social graph via GraphQL. Supports user lookup, content lookup, portal lookup, and more.

uv run scripts/dscvr_api.py social-graphql --query '{ userByName(name: "alice") { id username followerCount } }'

Parameters:

• --query: GraphQL query string (required)

Available queries:

• user(id: DscvrId!) — Lookup user by principal ID
• userByName(name: String!) — Lookup user by username
• content(id: ContentId!) — Lookup content by ID
• portalBySlug(slug: String!) — Lookup portal by slug
• portalById(id: PortalId!) — Lookup portal by ID

Authentication

All API calls use HMAC-SHA256 request signing. The skill handles this automatically via scripts/auth.py. Three headers are sent with every request:

The timestamp must be within 5 minutes of the server's time. See references/auth-reference.md for the full signing specification.

Usage Examples

Example 1: Browse event categories

User prompt: "What crypto event categories does DSCVR track?"

Steps:

1. Run uv run scripts/dscvr_api.py categories
2. Present the category list to the user in a readable format

Example 2: Get recent events for a category

User prompt: "Show me the latest DeFi news events"

Steps:

1. First run uv run scripts/dscvr_api.py categories to find the matching category
2. Run uv run scripts/dscvr_api.py events --category "DeFi" to get events
3. Summarize the events for the user, highlighting key headlines and related coins

Example 3: Deep dive into a specific event

User prompt: "Tell me more about event #42"

Steps:

1. Run uv run scripts/dscvr_api.py event-detail --event-id 42
2. Present the full event details including sources, related coins, and analysis

Example 4: Daily market briefing

User prompt: "Give me today's crypto market briefing"

Steps:

1. Run uv run scripts/dscvr_api.py categories to get all categories
2. Run uv run scripts/dscvr_api.py events --date $(date +%Y-%m-%d) --limit 10 for today's top events
3. Synthesize the events into a coherent market briefing

Example 5: Find top smart money traders

User prompt: "Show me the top whale traders in crypto with the highest PnL"

Steps:

1. Run uv run scripts/dscvr_api.py smart-money --tx-size WHALE --category crypto --sort TOTAL_PNL --limit 10
2. Present the traders with their win rates, PnL, and recent activity

Example 6: Explore prediction markets

User prompt: "What prediction markets are trending with smart money?"

Steps:

1. Run uv run scripts/dscvr_api.py markets --smart-filter smart_money --sort smart_money_activity --limit 10
2. Summarize the top markets, highlighting smart money positions and popular outcomes

Example 7: Analyze smart money positions on an event

User prompt: "Who are the smart money traders betting on the Fed decision event?"

Steps:

1. Run uv run scripts/dscvr_api.py markets --category all --limit 50 to find the Fed decision event
2. Run uv run scripts/dscvr_api.py event-traders --event-id \x3CEVENT_ID> with the found event ID
3. Present each trader's positions, realized/unrealized PnL, and trade direction

Example 8: Search AI discovery events

User prompt: "Find prediction market events about the US election"

Steps:

1. Run uv run scripts/dscvr_api.py ai-search --query "US election" --limit 10
2. Present the matching events with their categories and status

Example 9: Get market orderbook

User prompt: "Show me the orderbook for this Polymarket event"

Steps:

1. Run uv run scripts/dscvr_api.py ai-orderbook --polymarket-id \x3CMARKET_ID>
2. Present the bid/ask depth and current prices

Example 10: Look up a DSCVR user

User prompt: "Find the DSCVR profile for user PopularDude99"

Steps:

1. Run uv run scripts/dscvr_api.py social-graphql --query '{ userByName(name: "PopularDude99") { id username followerCount } }'
2. Present the user's profile information

Error Handling

API Endpoint Pattern

All product endpoints follow the pattern:

/developer/v1/product/\x3Cmodule>/\x3Cendpoint>

Currently available modules:

• news — Crypto news and event intelligence
• market — Smart money analytics and prediction market data
• ai — AI-powered event discovery, search, and market orderbooks
• social — DSCVR social graph (GraphQL)

See references/api-reference.md for the complete API documentation.