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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

A4.6/5.0
Behavior5/5

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

Well beyond the readOnly/idempotent annotations, the description discloses that spreads are gross and not net tradeable edge, that compatibility warnings can be non-empty even when pairs are matched, that pairing_unverified is always set when pairs are returned, and that unknown leg types are never paired. It also explains what null temporal_alignment means, adding critical behavioral context.

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?

Long but well-structured and front-loaded with the core purpose; the modes, response fields, safety warnings, fee disclosure, and skipped-leg counters are clearly delineated. Slight redundancy around temporal mismatch and temporal_alignment makes it denser than necessary, so not a 5.

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?

For a high-complexity tool with no output schema, the description covers the response contents, the meaning of null values, warning code semantics, per-match flags, skipped counters, and a standing fee caveat. An agent has enough information to invoke the tool correctly and interpret its results.

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%, so the baseline is 3; the description adds value by explaining that both modes run the identical token-overlap matcher and that explicit parameters form a custom pairing. It also repeats the macro shortcut list, making parameter options more discoverable for the agent.

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?

States a specific verb and resource: computing the cross-venue spread between Kalshi and Polymarket for the same resolving question. It names two concrete modes and emphasizes that pre-mapped topics are not automatically tradeable, which clearly distinguishes the tool's purpose.

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 for selecting either topic mode (10 pre-mapped shortcuts) or explicit ticker/slug mode for custom pairings, and warns that pre-mapped topics often return compatibility_warning today. It does not name sibling tools as alternatives, but the mode-selection guidance is explicit enough for correct invocation.

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

A3.5/5.0
Disambiguation2/5

Severe overlap exists between ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research, all of which route to the same 5,743-tool catalog with only subtle differences. The pair resolve (CURIE-to-URL) and resolve_entity (name-to-ID) share the same verb but mean completely different things in different domains, and the five polymarket tools have heavily overlapping purposes.

Naming Consistency2/5

The set mixes multiple conventions: noun-only names (prefix, prefixes, search, resolve), verb_noun names (generate_llms_txt, scan_dependency, validate_claim), adjective_noun names (recent_alerts, recent_changes), and vendor-prefixed names (ask_pipeworx*, pipeworx_*, polymarket_*). Some names break the pattern entirely, like forget and remember, and the plural prefix/prefixes pair is inconsistent.

Tool Count2/5

35 tools is heavy for any single server, but the bigger problem is that roughly 31 tools are Pipeworx platform utilities (asking, memory, subscriptions, feedback) while only 4 serve the stated 'Bioregistry' purpose. A server named Bioregistry carrying prediction-market arbitrage and AI-visibility tools is poorly scoped regardless of the absolute count.

Completeness2/5

The Bioregistry surface is thin: search, prefix, prefixes, and resolve cover lookup/pagination but no registry management, and the remaining tools belong to an entirely different, unrelated domain. The server's apparent purpose ('Bioregistry') is barely served, while the Pipeworx functionality, though broad, is buried under an incongruent server name, making the overall surface incomplete and incoherent.