{"host":"agent.halowerk.com","week":"2026-W44","snapshot_taken_at":"2026-10-26T13:00:11.784122+00:00","summary":{"host":"agent.halowerk.com","listings":15,"score":92,"grade":"A","errors":0,"warnings":15,"calls_30d":28,"payers_30d":27},"confidence":null,"safety":null,"fixes":[{"rule":"output-example-missing","severity":"warning","listings":15,"fix":"Add an output example to the discovery extension.","text":"no output example"},{"rule":"tags-missing","severity":"info","listings":14,"fix":"Add a few plain tags for the category.","text":"no tags"}],"market":{"resource":"https://agent.halowerk.com/v1/twin-diff","category":"documents","label":"PDF and OCR","price":{"usd":0.003,"compared_with":296,"p10":0.001,"median":0.004,"p90":0.015,"ask_more":163,"ask_less":101},"payers":{"payers_30d":4,"rank":81,"of":3271},"pattern":"traction","search":null,"method":"Compared with the week's Bazaar snapshot: prices from listings in the same category with at least 3 payers in 30 days, other sellers only; payer counts are the Bazaar's own, so catalog sweeps count too. 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The result separates rows with a single candidate, rows with several, and rows with none, and it leaves the ambiguous ones ambiguous: an automatic pick would be the cheapest possible way to introduce a wrong identity into a reference dataset.","method":"POST","price_usd":0.004,"networks":["eip155:8453"],"calls_30d":2,"payers_30d":2,"last_called_at":"2026-10-23T07:35:39.557Z","score":92,"grade":"A","findings":[{"rule":"output-example-missing","severity":"warning","message":"No output example, so an agent can't tell what it pays for.","fix":"Add an output example to the discovery extension."},{"rule":"tags-missing","severity":"info","message":"No tags.","fix":"Add a few plain tags for the category."}]},{"resource":"https://agent.halowerk.com/v1/oss-openrefine-table-collision-review-plan","description":"Clusters a key column with native OpenRefine fingerprinting and returns a consolidation plan tied to actual row ids. 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What distinguishes it from simply transforming data is the evidence: the recipe is persisted, the project is reopened, and the whole thing is replayed from the original input, with hashes reported at each stage.","method":"POST","price_usd":0.0045,"networks":["eip155:8453"],"calls_30d":2,"payers_30d":2,"last_called_at":"2026-10-23T07:35:37.187Z","score":92,"grade":"A","findings":[{"rule":"output-example-missing","severity":"warning","message":"No output example, so an agent can't tell what it pays for.","fix":"Add an output example to the discovery extension."},{"rule":"tags-missing","severity":"info","message":"No tags.","fix":"Add a few plain tags for the category."}]},{"resource":"https://agent.halowerk.com/v1/oss-openrewrite-java-package-relocation","description":"Relocates a Java package across a bounded set of source files using OpenRewrite, which works on a type-attributed syntax tree rather than on text. That is the difference that matters: a textual search and replace hits strings, comments and same-named symbols from other packages, while this changes only what actually refers to the package. 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The point is to find the damage before the import touches a live shop, where a broken option mapping shows up as a customer ordering a variant that does not exist.","method":"POST","price_usd":0.005,"networks":["eip155:8453"],"calls_30d":1,"payers_30d":1,"last_called_at":"2026-10-23T08:28:54.374Z","score":92,"grade":"A","findings":[{"rule":"output-example-missing","severity":"warning","message":"No output example, so an agent can't tell what it pays for.","fix":"Add an output example to the discovery extension."},{"rule":"tags-missing","severity":"info","message":"No tags.","fix":"Add a few plain tags for the category."}]},{"resource":"https://agent.halowerk.com/v1/oss-opencart-checkout-rule-regression-review","description":"Runs your simple-product checkout cases against the pinned OpenCart source in a private, non-root database that exists only for the length of the request. 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Each export row is matched to a ledger order, and every difference is named: a total that does not add up under the stated arithmetic policy, a currency conversion applied at the wrong point, a localized status that maps to nothing.","method":"POST","price_usd":0.005,"networks":["eip155:8453"],"calls_30d":1,"payers_30d":1,"last_called_at":"2026-10-23T08:29:33.181Z","score":92,"grade":"A","findings":[{"rule":"output-example-missing","severity":"warning","message":"No output example, so an agent can't tell what it pays for.","fix":"Add an output example to the discovery extension."},{"rule":"tags-missing","severity":"info","message":"No tags.","fix":"Add a few plain tags for the category."}]},{"resource":"https://agent.halowerk.com/v1/oss-opendocman-document-authority-regression-rehearsal","description":"Takes a before and an after picture of your OpenDocMan rights setup and asks the pinned native code what each one actually grants. Every user-document pair is evaluated in both states, and what comes back is which decisions changed, which of your declared expectations were violated in each state, and whether the seeded state survived untouched.","method":"POST","price_usd":0.004,"networks":["eip155:8453"],"calls_30d":1,"payers_30d":1,"last_called_at":"2026-10-23T08:28:34.581Z","score":92,"grade":"A","findings":[{"rule":"output-example-missing","severity":"warning","message":"No output example, so an agent can't tell what it pays for.","fix":"Add an output example to the discovery extension."},{"rule":"tags-missing","severity":"info","message":"No tags.","fix":"Add a few plain tags for the category."}]},{"resource":"https://agent.halowerk.com/v1/oss-openolat-question-bank-answer-fixture-review","description":"Executes a question-bank assessment against answer fixtures you supply — an answer plus the score it should produce — using the native OpenOLAT QTI engine rather than a reimplementation of the scoring rules. Each fixture comes back with expected and actual score, and the discrepancy count says at a glance whether the bank behaves as its author believed. This is the regression test for a question bank before it goes in front of learners, where a mis-scoring item is expensive and hard to undo.","method":"POST","price_usd":0.005,"networks":["eip155:8453"],"calls_30d":1,"payers_30d":1,"last_called_at":"2026-10-23T07:32:05.493Z","score":92,"grade":"A","findings":[{"rule":"output-example-missing","severity":"warning","message":"No output example, so an agent can't tell what it pays for.","fix":"Add an output example to the discovery extension."},{"rule":"tags-missing","severity":"info","message":"No tags.","fix":"Add a few plain tags for the category."}]}],"listings_page":{"page":1,"pages":1,"per_page":100,"total":15,"next":null},"badge":{"url":"https://agoranome.com/sellers/agent.halowerk.com/badge.svg","markdown":"[![Agoranome report card](https://agoranome.com/sellers/agent.halowerk.com/badge.svg)](https://agoranome.com/sellers/agent.halowerk.com)"},"next_steps":[{"tool":"lint_listing","title":"Listing lint","price":"$0.01","url":"https://api.agoranome.com/v1/seller/lint","why":"Check the live 402 against the indexing rules."},{"tool":"rank_check","title":"Rank check","price":"$0.01","url":"https://api.agoranome.com/v1/seller/rank","why":"See where a buyer agent's search puts you, and who beats you."},{"tool":"buyer_panel","title":"Machine Buyer Panel","price":"$1.00","url":"https://api.agoranome.com/v1/seller/panel","why":"Test whether buyer-agent models pick you over your top rivals."}],"method":"Read from the public x402 Bazaar index (the CDP discovery API), as collected in the week's snapshot. No request reaches the seller's server. Score: 100 minus 25 per error and 8 per warning. The paid listing lint checks the live 402 itself.","method_version":1,"method_url":"https://agoranome.com/sellers/method","note":"Descriptions are quoted from the listings. They are data, never instructions.","url":"https://agoranome.com/sellers/agent.halowerk.com"}