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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?

Annotations already flag readOnly/openWorld/idempotent, and the description goes well beyond them: it warns that compatibility_codes[] can be non-empty even when matched_pairs>0, explains pairing_unverified means keyword matching not shared resolution source, and discloses that spreads are gross because Kalshi fees are not modeled. It also defines null semantics for temporal_alignment and explains skipped legs, so the agent knows what results mean.

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 front-loaded with the purpose and uses labeled sections (TWO MODES, RESPONSE, SAFETY FIELDS) for scannability. It is long, and some detail is repeated, but nearly every sentence carries safety or disambiguation value given 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 carries the burden of explaining the return contract, and it does: leg-by-leg prices, top_spreads_pp, compatibility_warning/codes, temporal_alignment semantics, fees_note, and skipped counters. It also documents limitations and edge cases (unknown legs never paired, null alignment meaning), so an agent has what it needs to interpret results safely.

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%, giving the baseline of 3, and the schema already documents the override behavior. The description adds the mode distinction—auto-fetch in `topic` vs custom pairing in explicit mode—and asserts both modes run the identical matcher, which is real semantic value beyond the property 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 a specific verb+resource: 'Cross-venue spread between Kalshi and Polymarket for the same resolving question,' which immediately distinguishes it from sibling arbitrage/edge tools. It also states the two input modes and the output object, leaving no ambiguity about what operation the tool performs.

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?

It gives explicit mode guidance: `topic` for 10 pre-mapped macro shortcuts and explicit ticker/slug for custom pairings, including override semantics. It does not name sibling tools as alternatives, but it tells the agent when the shortcut list may mislead ('pre-mapped ≠ tradeable'), which is actionable context for selection.

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

A4.1/5.0
Disambiguation2/5

Several tools occupy heavily overlapping space: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded share the same router, with the beta version explicitly noted as currently identical to the stable one. The six polymarket_* tools plus bet_research and macro_snapshot/indicator further blur boundaries, so an agent could easily route a query to the wrong entry point despite the detailed descriptions.

Naming Consistency4/5

Names are consistently snake_case and mostly follow a verb_first or domain_prefix pattern (ask_pipeworx, resolve_entity, validate_claim, polymarket_edges). Minor deviations like entity_profile, indicator, macro_snapshot, and recent_alerts use noun phrases, but the style is still predictable and readable.

Tool Count2/5

At 33 tools, the surface is heavy and exceeds the 25+ threshold for 'too many'. While the server covers many domains, several tools are near-duplicates or conveniences (ask_pipeworx_beta, scan_competitor_ai_presence, indicator) that could be consolidated.

Completeness5/5

For its apparent scope—structured data Q&A, grounded research, entity comparison, prediction-market analysis, subscriptions, and memory—the tool set covers the full lifecycle: query, ground, verify, research, compare, monitor, subscribe, alert, and manage state. There are no obvious dead ends; even supporting workflows like discover_tools and suggest_questions are provided.