Skip to main content
Glama

Polymarket–Kalshi Spread

polymarket_kalshi_spread
Read-onlyIdempotent

Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) topic — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit kalshi_event_ticker + polymarket_event_slug for custom pairings — BOTH modes run the identical token-overlap matcher, so the same disclosures apply to both. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning is a sentence and compatibility_codes[] the machine-readable form; BOTH can be non-empty on returned pairs, so read them even when matched_pairs>0. Codes: event_subject_mismatch (the two event titles share no subject words — probably not the same question), temporal_mismatch (they resolve in different months), temporal_alignment_unknown (the resolution month could not be parsed on one or both sides — NOT the same as confirmed-aligned; check each event's close/strike date yourself), non_equivalent_bet_shapes, no_candidate_pairs, unclassified_legs_excluded, pairing_unverified (set in EITHER mode whenever pairs are returned: the legs were matched by keyword and word overlap, not a shared resolution source). Each entry in top_spreads_pp carries its own flags[] (temporal_mismatch, temporal_alignment_unknown, event_subject_mismatch, low_token_overlap). A leg whose metric_type or match_subtype is "unknown" is NEVER paired — those comparisons land in spread.skipped_unclassified and, when the wording lined up, in spread.low_confidence_pairs[] for inspection only. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period, in EITHER mode; null means it could not be computed (see temporal_alignment_unknown), not that the two sides align. spread.fees_note is a standing disclosure: Kalshi charges per-contract trading fees, Polymarket does not, and this tool does not model Kalshi's fee schedule — every spread_pp is gross, not a net tradeable edge. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoPre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president
kalshi_event_tickerNoExplicit Kalshi event ticker, e.g. "KXFED-26OCT". Overrides the topic-mapped Kalshi side.
polymarket_event_slugNoExplicit Polymarket event slug, e.g. "fed-decision-in-june-825". Overrides the topic-mapped Polymarket side.

TDQS

A4.3/5.0
Behavior5/5

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

Beyond the readOnly and idempotent annotations, the description discloses compatibility_warning semantics, fee caveats, null temporal_alignment meaning, skipped-leg counters, and the rule that unknown metric_type legs are never paired. No contradiction with annotations exists.

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

Conciseness4/5

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

The description is long and dense, but every sentence contributes distinct mode, response, or safety semantics, and it is logically front-loaded with purpose and modes before disclosures. It is not as crisp as a minimal definition, but the length is justified by the tool's complexity.

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

Completeness5/5

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

With no output schema, the description fully carries the burden of explaining return semantics, including top_spreads_pp, compatibility_warning/codes, per-entry flags, temporal_alignment null semantics, fees_note, and skipped-leg counters. It also handles edge cases like unknown legs and pairing_unverified, making it effectively complete for correct invocation and interpretation.

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?

Schema coverage is 100%, but the description adds substantial meaning by explaining that topic selects a pre-mapped event, that explicit ticker/slug override the mapped side, and that both modes run the identical token-overlap matcher. This goes beyond the raw schema definitions.

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

Purpose4/5

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

The description clearly identifies the tool's function as computing a cross-venue spread between Kalshi and Polymarket for the same resolving question, and it lays out two explicit modes. It does not explicitly distinguish itself from close sibling tools like polymarket_arbitrage or polymarket_edges, so it stops short of a 5.

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 gives clear context on when to use pre-mapped topic shortcuts versus explicit kalshi_event_ticker and polymarket_event_slug pairings, and it cautions that pre-mapped topics are often not tradeable. It does not explicitly state when to prefer alternative sibling tools, so exclusions are missing.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.1/5.0
Disambiguation2/5

Many tools have overlapping purposes, especially the ask_pipeworx family (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) and the Polymarket cluster (bet_research, polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, polymarket_kalshi_spread). Additionally, discover_tools and suggest_questions both serve as discovery/onboarding tools, and ai_visibility_check vs scan_competitor_ai_presence are closely related. While descriptions are detailed, the boundaries between these tools are unclear, causing potential misselection.

Naming Consistency4/5

All tool names use lowercase snake_case with no camelCase or mixed styles. The naming follows a mostly consistent verb_noun or data_subject pattern (e.g., ask_pipeworx, list_subscriptions, validate_claim, artist_info, recent_alerts). Minor deviations exist, such as recent_alerts and user_top_tracks not beginning with a verb, but the overall pattern is predictable and readable.

Tool Count2/5

40 tools is far too many for a server nominally about Last.fm; only 9 tools actually relate to its stated purpose. The remaining 31 tools cover unrelated domains (Pipeworx data routing, Polymarket betting, memory, subscriptions, etc.), making the set bloated and unfocused. Many tools are near-duplicates (ask_pipeworx, _beta, _grounded; four different polymarket_* analysis tools), inflating the count without adding distinct value.

Completeness2/5

Even within the Last.fm domain, the tool surface is incomplete: there is no artist search, album search, user profile info, recent scrobbles, loved tracks, or music recommendations. The unrelated Pipeworx/Polymarket tools, while individually comprehensive for their own domains, do not compensate for the lack of core Last.fm functionality given the server's stated purpose. The overall set is a fragmented mixture that leaves significant gaps for what the server name promises.