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PolyClaw

Give OpenClaw market discovery, wallet commands, position tracking and an LLM-assisted search for covering market pairs.

3.0/ 5Editorial rating0 user reviews
View repositorygithub.com
Available on
OpenClaw, Python, CLI
Pricing
Apache-2.0 source code

Screenshots and interface

Product preview1 / 2

OpenClaw market, trading and position commands.

What is PolyClaw?

PolyClaw is a trading-enabled OpenClaw skill. It combines public market browsing with a split-and-sell execution path on Polygon and local position tracking. Its hedge scan evaluates logical relationships between contracts, making the exact questions and resolution rules central to interpreting a suggested pair.

Who it is for

  • OpenClaw users who want Polymarket tools
  • Developers exploring logically related contract pairs
  • Technical users who can configure RPC and model access

Features and coverage

Available on
OpenClaw, Python, CLI
Markets & venues
Polymarket
  • Market browsing

    Search by keyword, inspect a market or list trending contracts.

  • Wallet status

    Read the configured wallet’s collateral and gas-token balances.

  • Split-and-sell execution

    Split collateral into complementary outcomes and sell the unwanted leg through CLOB.

  • Position tracking

    Store entries locally and display their current values.

  • Pair analysis

    Ask the LLM-backed analyzer to inspect a specified market pair.

  • Hedge scan

    Search a bounded set of markets for logical implications and coverage tiers.

  • Early exits

    Sell a held position through the available order book.

Workflows with PolyClaw

Research a covering pair

Search a topic, run a small hedge scan and inspect the precise implication between the two resolution questions. Compare combined entry cost and available size.

Track a position opened through the skill

Inspect its locally recorded entry and current value, then reconcile it with the wallet before an exit.

Configure account access

Set the RPC and signer for wallet operations and the model-provider key for hedge analysis.

Pricing and total cost

Apache-2.0 source code. Polygon transactions, model-provider calls, RPC usage and applicable trading costs are separate.

Getting started

Before you start: The buy amount enters a split workflow; it is not simply a direct ask-side spend.

  1. Install the skill through its documented OpenClaw route.
  2. Install its Python dependencies with uv.
  3. Configure Chainstack RPC and the optional model-provider key.
  4. Browse markets before adding execution credentials.
  5. Inspect wallet status and the required contract approvals.
  6. Set the trade amount with the split-and-sell mechanics in mind.

Useful links

    What to check

    • The buy amount enters a split workflow; it is not simply a direct ask-side spend.
    • Approvals submit on-chain transactions.
    • Positions are recorded in a local JSON file and may not include activity performed elsewhere.
    • Coverage tiers are outputs of the pair-analysis logic, not contract settlement commitments.
    • The skill is designed for OpenClaw; Alphapoly provides a separate standalone application.

    A closer look

    Ratings & reviews

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    Editorial rating
    3.0/ 5
    0 user reviews
    Polytoolhub editorial

    Our take on PolyClaw

    An inspectable agent skill connects research with several position workflows. Split-based buying, local position records and LLM pair analysis make it a specialist development tool.

    Based on documented features, setup and access terms. How we rate

    User reviews 0

    The main score switches to user ratings after 5 published reviews.

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    Frequently asked questions about PolyClaw

    Is a private key needed to search markets?

    Public discovery is separate from wallet execution.

    What does its buy command do?

    It splits collateral into both outcomes, then sells the unwanted side.

    Does the position list cover every external trade?

    The skill tracks its own local position records; reconcile external activity separately.

    What is the model key used for?

    Logical implication and hedge analysis.