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sygnldata — market intelligence for trading agents

sygnl47_latest_event

Most recent verified POTUS statement event, no delay ($2.00).

RETURNS: the single newest CONFIRMED observation — timestamp, entity and ticker named, a verbatim snippet capped at 180 characters, the verification block (live vs replay, how many independent feeds corroborated it, consensus confidence) and the market block (mark, benchmark, abnormal return at 1/5/15/30 minutes, instrument minus benchmark). GUARANTEED MAX STALENESS: 0 seconds of deliberate delay. Real freshness is bounded by publisher sync and reported in every response as sync.feed_age_seconds — measured, never assumed. PRICE: $2.00 USDC. Deliberately premium: this is verified, hard-to- replicate data and we would rather learn what one real buyer pays than what a hundred free riders sample. NOT A PREDICTION. This reports what was said and what happened afterwards. No edge claim, no win rate, no recommendation. If no event exists the call returns 404 and is NOT settled — you are not charged for silence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payment_signatureNo

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations provided, the description fully carries the burden. It discloses pricing ($2.00 USDC), freshness guarantee (0 seconds delay, measured), behavior on no event (404, no charge), and the rationale for the premium. It also explains the return structure and that it is not a prediction. Very transparent.

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

Conciseness5/5

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

The description is well-structured with clear sections (returns, guarantees, price, disclaimer). It front-loads the core purpose and key differentiator (no delay, cost). Every sentence adds value, and there is no redundant or extraneous content.

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 only one parameter and no output schema, the description covers purpose, behavior, freshness, cost, and return format thoroughly. The only missing piece is documentation for the payment_signature parameter, which is a notable gap for the tool's usability.

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

Parameters1/5

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

The input schema has one parameter (payment_signature) with no description and 0% coverage. The tool description does not mention or explain this parameter at all, leaving the agent without guidance on how to provide payment. This is a critical gap for a paid tool.

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 clearly identifies the tool as returning the most recent verified POTUS statement event with no delay. It distinguishes from sibling tools (e.g., sygnl47_events_1m, sygnl47_events_15m) by emphasizing real-time freshness and a single confirmed observation, and by specifying that it is not a prediction.

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?

The description states the tool is for obtaining the latest verified event at a premium price, and clarifies it is not a prediction. It does not explicitly list when not to use it or compare with siblings, but the context of alternative event feeds is implied by the sibling names. Slight gap in explicit guidance on alternatives.

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

A3.7/5.0
Disambiguation5/5

Each tool has a distinct purpose, with clear differentiation between SYGNL/47 event tiers (live, 1m, 15m, archive), subscription management, and auxiliary tools like backtesting and regime detection. No overlapping functionality.

Naming Consistency4/5

Most tools follow a descriptive underscore pattern, with 'sygnl47_' prefix for event and subscription tools, and 'get_' for data retrieval. Some variation in verb prefixes (audit, check, estimate) but overall predictable and readable.

Tool Count4/5

21 tools is slightly high but justified by the tiered data access model for SYGNL/47 events and supporting infrastructure. The count covers core functionality without being excessive.

Completeness4/5

The tool set covers the stated domain well: event monitoring at different recency, backtesting, regime detection, and subscription management. Minor gaps like historical pricing data are not central to the server's focus.

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