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Reviewed 1d ago.

• tools: 32 tools scanned
• metadata: scanned

No findings.

Tools (32)

• dataset_columns

  The columns, which of them are numeric, the row count and the provenance banner of the Bags That Pay dataset. Call this first to learn the schema.

• dataset_search

  Rows of the Bags That Pay dataset whose cells contain the query (case-insensitive), up to 50.

• dataset_row

  The rows of the Bags That Pay dataset where a column equals a value exactly (case-insensitive).

• dataset_compare

  The rows of the Bags That Pay dataset whose column is any of the given values, in the order given — for "X vs Y" questions.

• dataset_stats

  count, min, max, mean, median and sum of a numeric column of the Bags That Pay dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).

• dataset_top

  The highest (or lowest) rows of the Bags That Pay dataset by a numeric column — "which is the most/least X".

• dataset_provenance

  The source, the date it was computed, the licence and the citation for the Bags That Pay dataset. Read this to attribute a figure correctly.

• entities_schema

  Which fields the Bags That Pay register register carries and on how many entities, the regions and services, the identifier schemes, and how to cite it. Call this first.

• entity_lookup

  The Bags That Pay register entry for a firm, by its register identifier (scheme + value, e.g. lei) or by the slug of its page. Exact match; returns the whole record with its page.

• entities_search

  Entities of Bags That Pay register whose name, commercial name, website, address or authority contains the query, optionally within a region (id or name) and a service (slug or name). Up to 50 rows.

• entities_in

  The Bags That Pay register entities in one region (a state or a jurisdiction, by id or name), optionally for one service, 50 a page.

• entities_export

  Every entity of Bags That Pay register, 200 a page, with provenance. Needs an access key (Authorization: Bearer); export pages are metered per key per day. Without a key the answer says how to get one.

• listing_describe

  What a listing on Bags That Pay is, what it costs, how it is paid, who publishes it, and every profile field it takes. Read this to the person first.

• listing_terms

  The clauses a listing is judged by, their version (send it back as termsVersion), and every profile field the directory takes.

• agent_session_start

  Give a Solana address; get the exact message to sign. A signature, not a transaction: no fee, nothing moves. Then call agent_session_verify with the base64 signature.

• agent_session_verify

  The address, the exact message from agent_session_start and its base64 Ed25519 signature. Returns a session token to pass as `session` to every later call (valid 30 days, revocable from the account page).

• claim_start

  Names the entry (scheme + value, e.g. lei); returns the proof domain the register lists and the token to place as a TXT record, a well-known file, or via a verified email there.

• claim_verify

  The server reads DNS, the well-known file and the verified email; verified claims are badges on the profile.

• claim_status

  Every claim of this account with its status and, while pending, the instructions.

• listing_draft

  Creates a listing draft on Bags That Pay. Send the fullest profile you can (listing_describe lists the fields); a scam-shaped or off-list field is refused by name. Returns the listing id and status awaiting_payment.

• listing_pay_card

  Returns a Stripe Checkout URL at the site's price. A human completes it in a browser; the site learns of payment from Stripe's verified event, never from the browser.

• listing_pay_stripe

  Send a Stripe payment method id (pm_...) the agent is entitled to use; the server charges the SITE's price off-session. Answers succeeded (the listing enters review) or requires_action (use listing_pay_card for a human); never charges an amount you name.

• listing_pay_usdc

  Returns the Solana Pay transfer request: recipient, exact amount, USDC mint and a unique reference. Pay it from the wallet (include the reference as a read-only key), then call listing_confirm_usdc.

• listing_confirm_usdc

  The SERVER finds the transfer by reference and reads the treasury's balance change; a short or wrong-token transfer is reported by name and not credited. On success the listing enters review.

• listing_status

  Every listing of this account with its status (awaiting_payment, pending_review, published, refused, withdrawn, expired).

• listing_withdraw

  Takes down a listing of this account.

• listings_published

  What firms have added on top of the register (published rows only), optionally for one register entry.

• placements_active

  The Sponsored slot's contents for a page (home | region | leaf); labelled as sponsored in the answer.

• claim_public

  Whether an entry has a verified claim, by which proof and when — never by whom.

• enquiry_describe

  Read first. States plainly what submit_enquiry does on Bags That Pay: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

• enquiry_fields

  Every field of the Bags That Pay enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

• submit_enquiry

  Submits an enquiry to Bags That Pay — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "By submitting you agree Bags That Pay passes your question to the issuer or data provider you asked about."