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pulsenetwork

by com.theaslangroupllc.pulse

signalpulse

SignalPulse: Institutional-grade trading & prediction-market intelligence for agents. Calibrated multi-engine reads across crypto, FX, macro-events, prediction markets (Polymarket/Kalshi/Manifold/PredictIt) and sports — de-vigged sportsbook consensus plus proprietary xG/EPA/Statcast/weather analytics. Agent analysis tier; the curated, sized, tracked calls are the premium service.

Coverage: Global

Endpoints: • sample (FREE): FREE pick-of-the-day — a full-depth sample of SignalPulse's sports intelligence on one featured matchup (de-vigged sportsbook consensus + proprietary stats/weather analytics). No payment, no API key. • game ($1.00): Deep single-match analysis for AI sports & research agents — a full multi-engine read of any game: de-vigged sportsbook consensus (Bovada/FanDuel/Pinnacle), sharp-line moves, proprietary xG/EPA/Statcast/map-pool analytics, venue weather and altitude physics, injuries and props. Returns 3 ranked +EV plays with full reasoning, props included. • predmarket ($2.00): Calibrated superforecaster scan of prediction markets for AI research & trading agents — a base-rate-anchored read across Polymarket, Manifold and PredictIt: cross-venue divergence, order-book and whale flow, and for sports the de-vigged sportsbook consensus plus proprietary team-strength and weather engines. Returns mispriced markets with probabilities, edge and full commentary, props included. • racing ($0.50): Today's GB/IRE racing card scanned for AI betting & research agents — the single highest expected-value selection plus value picks across every race, horse or greyhound. Horses: RPR/Topspeed, draw bias, pace shape, going×form and trainer/jockey conditional course/going records. Greyhounds: early-speed, trap affinity, overall run-time, track trap-bias. Live exchange + forecast prices give genuine EV. • h2h ($0.50): Player head-to-head for AI betting & research agents — a targeted read of TWO named players against each other in any matchup sport (golf, tennis, MMA). Returns the betting matchup verdict (favoured side, EV, edge) AND the fantasy head-to-head (who scores more DFS/fantasy points), plus data-backed props. • compare ($1.00): Compare & rank 2+ named players against each other for AI betting, fantasy & research agents — golf 3-balls, DFS player pools, season-long start/sit, 'best of these'. Returns a ranked list (each with a projection) plus the single best betting play AND the best fantasy/DFS value. • fantasy ($1.00): Direct fantasy advice for AI agents — start/sit, DFS lineup (salary cap, points-per-dollar), waiver pickups and trade analysis. FULLY OPEN: returns committed recommendations (who to start, accept/decline the trade), not just analysis. Projects fantasy points from the underlying data (golf SG/course-fit; NFL/MLB/NBA usage/role/matchup); the betting market is optional, never the gate. • player ($0.50): Single-player stat-projected outlook for AI betting, fantasy & research agents — data-backed prop projections (the stat is projected from the underlying data even when no book posts a line), the fantasy projection (points, floor/ceiling, start-worthiness) and the form/role/matchup read. Golf strokes-gained/course-fit; NFL/MLB/NBA usage/role/matchup. • ask ($1.00): Ask any sports or prediction-market question in plain language — the front door to SignalPulse's deep engines. Returns a data-grounded answer with an explicit DATA-vs-OPINION split (every claim cites its stat; judgment is labeled), a betting or fantasy angle when relevant, and a pointer to the deepest named endpoint. Honest when a question is outside coverage — it routes, it doesn't bluff. • golf ($1.00): Whole-field golf scan for AI betting, fantasy & research agents — reads the ENTIRE tournament field (PGA ShotLink strokes-gained + ESPN) and surfaces the single highest-EV play across every bet type (outright / each-way / top-N / matchup / make-cut / first-round-leader), led by course-fit and the tee-time weather wave. For named golfers use /api/scan/compare or /api/scan/h2h. • crypto ($2.00): Institutional-grade crypto market scan for AI financial & trading agents — 40+ live intelligence layers (regime, breadth, on-chain cycle, derivatives positioning, funding extremes, liquidation context, ETF/stablecoin flows) synthesized into a decision-ready read: directional bias, confidence, full rationale, key factors, adversarial pre-mortem. • market ($2.00): Institutional cross-asset market scan for AI financial & trading agents — multi-layer read across FX majors, metals, and equity indices: regime, COT positioning, yield spreads, carry, real yields, VIX term structure, options gamma, and macro, synthesized into a decision-ready read: best instrument, directional bias, confidence, full rationale, key factors. • forex ($0.50): Institutional forex market scan for AI financial & trading agents — multi-layer read across the 28 majors and crosses: rate differentials, COT positioning, carry, policy divergence, yield spreads, and cross-asset macro regime, synthesized into a decision-ready read: best pair, directional bias, confidence, full rationale, key factors. • event ($1.00): Institutional economic-event scan for AI financial & trading agents — historical-reaction study for a scheduled macro release (NFP, CPI, FOMC and more): how the affected FX pairs have moved after similar surprises, the surprise read, macro context, and which pair has the cleanest reaction profile, with directional bias, confidence, and full rationale. • options ($0.50): Institutional equity-options volatility scan for AI financial & trading agents — VRP (variance risk premium), IV term structure, GEX regime, max-pain and unusual options activity across liquid optionable names, synthesized into a decision-ready read: best ticker, vol/directional bias, confidence, full rationale, key factors. • futures ($0.50): Institutional futures market scan for AI financial & trading agents — multi-layer read across the futures complex (equity index, rates, energy, metals, grains): COT positioning (disaggregated + financial), seasonality, term structure, and macro regime, synthesized into a decision-ready read: best contract, directional bias, confidence, full rationale, key factors. • crypto-lite ($0.05): Crypto market tick — majors + sentiment + regime verdict

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoA free-text sports/markets question (aliases: question, ask).
getNoTrade mode — player(s) you would receive.
giveNoTrade mode — player(s) you would send.
langNoResponse language code (en | es | fr | de | zh | hi | ar | pt | ja | ko | etc.)
modeNoThe fantasy decision type.
typeNoRace discipline to scan (default horse).
eventNoMatchup hint, e.g. yankees-red-sox.
slotsNoOptional — how many to start (start-sit / lineup).
sportNomlb | nba | nfl | nhl | wnba | soccer_epl | tennis | mma | esports …
styleNoScan horizon
actionYesWhich endpoint to call. Options: sample | game | predmarket | racing | h2h | compare | fantasy | player | ask | golf | crypto | market | forex | event | options | futures | crypto-lite
marketNoOptional focus (hint, not a cap).
playerNoA single player name.
horizonNoshort: order-flow/dislocation. mid: positioning + catalyst. long: base-rate/calibration.
playersNo2–12 names — a-vs-b-vs-c, comma-separated, or repeated ?player=.
scoringNoOptional scoring format.
categoryNoPrediction-market category to scan.
player_aNoFirst player (or use players=a-vs-b).
player_bNoSecond player.
strategyNoStrategy filter
market_typeNoOptional market focus (hint, not a cap).
signal_typeNoOptions horizon

TDQS

A4.3/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does so richly: it discloses pricing (FREE, $0.50–$2.00), output details (e.g., 'Returns 3 ranked +EV plays with full reasoning'), a no-bluff honesty policy ('it routes, it doesn't bluff'), and full transparency for fantasy ('FULLY OPEN: returns committed recommendations'). It even notes coverage ('Coverage: Global'). This far exceeds typical descriptions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is over 1,200 words with repetitive phrasing ('Institutional-grade', 'AI betting & research agents' repeated across almost every endpoint). While bulleted and scannable, it is far longer than necessary and would benefit from trimming marketing language and consolidating shared qualifiers.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the high complexity (17 endpoints, 22 params, no output schema), the description is remarkably complete: it explains each endpoint's returns, intended user, and pricing, and even gives cross-endpoint guidance (use compare/h2h for named golfers). It omits some specifics like authentication requirements and rate limits, but the schema covers parameter details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers 100% of parameters with descriptions, so baseline is 3. The description adds substantial meaning to the critical `action` parameter by detailing each of 17 endpoints with outputs and pricing, but adds little to other parameters (get, give, mode, etc.) beyond the schema's existing descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'SignalPulse: Institutional-grade trading & prediction-market intelligence for agents' and lists concrete domains (crypto, FX, macro-events, prediction markets, sports) and analytics engines (de-vigged sportsbook consensus, xG/EPA/Statcast/weather). This clearly states what the tool does and distinguishes it from narrowly-focused sibling pulses.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Each endpoint explicitly states its intended audience ('for AI betting & research agents', 'for AI financial agents') and use case. For example, the ask endpoint says it's 'the front door to SignalPulse's deep engines' and the golf endpoint directs users to compare/h2h for named golfers. However, there is no explicit contrast with sibling tools or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.2/5.0
Disambiguation4/5

Each tool has a unique domain prefix (e.g., airdroppulse, alphapulse, arbipulse) making them mostly distinguishable at a glance. A few adjacent verticals like careerpulse vs talentpulse or marketpulse vs dealpulse have overlapping themes, but their descriptions clarify the distinct focus. The utility tools (catalog_search, discover, get_openapi_spec, x402_troubleshoot) are also clearly distinct in role. However, the sheer number of similar 'pulse' names could still cause misselection without reading descriptions.

Naming Consistency4/5

The dominant naming convention is `<domain>pulse` (e.g., climatepulse, cryptopulse, edupulse), which is highly consistent and predictable. Exceptions like catalog_search, discover, get_openapi_spec, x402_troubleshoot, and stateedge break the pattern, but these are few and serve obvious utility purposes. Overall, the convention is clear and easily learnable.

Tool Count2/5

With 80 tools, the server presents an extremely large and potentially overwhelming surface. While each tool represents a distinct intelligence vertical and navigation aids exist (catalog_search, discover, get_openapi_spec), the count far exceeds the typical 3-15 range for coherent agent use and even the 'heavy' 16-25 range. The burden of selecting the correct vertical from 80 options is significant, despite clear naming.

Completeness5/5

The server offers an exceptionally broad and deep coverage of domains, from finance and health to agriculture and gaming. Each vertical includes multiple endpoints that address core operations for its domain, such as search, analysis, comparisons, deterministic checks, and even action-oriented tools like letter generators and physical mail. The presence of free discovery and troubleshooting tools fills potential gaps, leaving no obvious dead ends in the overall tool surface.

Resources