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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?

The description goes far beyond the readOnly/idempotent annotations by disclosing matching methodology (keyword and word overlap, not shared resolution source), the fee limitation (gross spread, not net of Kalshi fees), null semantics for temporal_alignment, skipped-leg counters, and the meaning of compatibility codes. These are exactly the behavioral details an agent needs.

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, but almost every sentence carries essential information about modes, response fields, compatibility codes, fee treatment, and skipped comparisons. It is front-loaded with the core purpose and then organized into clear sections. Some repetition about 'BOTH modes' and temporal_alignment_unknown could be tightened, so it earns a 4 rather than 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?

With no output schema to rely on and only generic annotations, the description carries the full burden, and it succeeds: it explains the response shape, safety fields, incompatibility codes, fee caveat, skipped/unclassified handling, and the meaning of null temporal_alignment. Nothing critical is missing for an agent to select and invoke this tool correctly.

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, but the description adds meaning beyond the schema by explaining that both modes run the identical token-overlap matcher and that the same safety disclosures apply regardless of the parameter combination. It also clarifies that explicit ticker/slug overrides the topic-mapped side, which is useful behavioral context.

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 opening sentence states a specific resource and action: 'Cross-venue spread between Kalshi and Polymarket for the same resolving question.' This clearly differentiates it from same-venue siblings like polymarket_arbitrage and polymarket_edges, and the two-mode explanation (topic shortcuts vs. explicit ticker/slug) reinforces exactly what the tool does.

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 when to use each mode: topic for 10 pre-mapped shortcuts, explicit kalshi_event_ticker + polymarket_event_slug for custom pairings. It also warns that pre-mapped topics often return compatibility warnings and are not automatically tradeable. It does not explicitly name sibling tools or say when to prefer an alternative, so it stops short of a 5.

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

Several tools overlap heavily: ask_pipeworx and ask_pipeworx_beta are explicitly identical, and ask_pipeworx, ask_pipeworx_grounded, deep_research, discover_tools, and suggest_questions all serve as query/discovery entry points. Polymarket tools also blur together (bet_research, polymarket_edges, polymarket_arbitrage, polymarket_edge_tracker, polymarket_fill_risk). While many tools have distinct purposes, these overlapping clusters create real misselection risk.

Naming Consistency2/5

All names are snake_case but the pattern is inconsistent: some are verb_noun (ask_pipeworx, search_datasets, validate_claim), some are noun_verb (query_layer, layer_info is noun_noun), and some are single vague words (forget, recall, remember). No consistent verb_prefix or resource_suffix convention, and the mix of meta-tools vs data tools makes the naming feel arbitrary.

Tool Count2/5

34 tools is far too many for a server ostensibly named 'Arcgis Lancaster' — only 3 tools relate to GIS. The bulk is an unrelated general-purpose data/prediction-market toolkit, making the count excessive for the apparent scope. Even as a broad data toolset, 34 tools is on the heavy side and would benefit from splitting into focused servers.

Completeness2/5

The tool surface is a grab bag with no coherent domain, so completeness is hard to assess and clearly lopsided. GIS functionality has search/query/info but no lifecycle management, while the data side has many query/analysis tools but no create/update/delete operations except for subscriptions and memory. Obvious gaps exist for a 'Lancaster' server (e.g., no layer creation, editing, or spatial analysis tools), and the unrelated tools make the set feel incomplete for any single stated purpose.