govauctions.app
Live listings, sold prices and resale scores from GovAuctions.app, the public surplus-auction site.
| Endpoint | https://govauctions.app/api/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.3 |
| Now | 9 tools · grade B (87) · pin ts_46662443dd2fa85e4230926ea16622ee · protocol 2025-06-18 |
| First / last listed | 2026-11-06 02:29 UTC / 2026-11-06 02:29 UTC |
| Grade over time | 2026-11-06: B (87), 9 tools |
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Tools: search_listings get_listing get_sold_comps get_sold_comps_batch get_flip_score get_sold_history get_price_trend get_comp_coverage get_api_usage
search_listings | Search live GSA federal-surplus auction listings (facts only — no images). Filter by state, category, keyword, price, or distance from a US ZIP code. Works signed out (up to 25 rows per page). Raw listings cover sanctioned federal sources; sold-price comps span the full market. params: country, state, category, source, q, priceMin, priceMax, zip, radiusMiles, sort, limit, offset |
get_listing | Get one live GSA listing by its id (facts only). Works signed out. params: id* |
get_sold_comps | Sold-price comps for a described item, computed across the full government-surplus market in any market listed in `country`. Signed out: coverage (how many comparable sales, confidence, a coarse price band) plus `categoryStats`, the 25th/median/75th percentile of every sale in the item's category (in `state` when it has enough sales). Signed in or with an API key: the 25th/median/75th percentile f params: q*, category, country, state, include, limit |
get_sold_comps_batch | get_sold_comps for a list of items in one call. Each query is either a string ('2015 Ford F-150') or an object with its own q/category/country/state. Each item costs one valuation lookup, exactly as if sent alone; an item that comes back without a range is not charged. If the monthly allowance runs out part-way, the items already priced are returned and `batch.truncated` names the rest. Batch size params: queries*, country, state |
get_flip_score | GovAuctions Flip Score resale signal for one live lot, from any source, in any market with sold-price comps (valued against that market's comp archive): estimated value, effective bid, discount, and the link to the lot on its source site. Pass the lot id as it appears in a govauctions.app lot URL. Requires sign-in or an API key. params: id* |
get_sold_history | The individual archived sales behind an item: title, final price, sale month and state, plus the range they produce. Use when you want the evidence rather than just the number. Query-anchored — describe an item; there is no way to list the archive. Requires sign-in or an API key. params: q*, category, country, state, limit |
get_price_trend | Month-by-month median sale price for an item, plus the first-to-last change — 'is this category softening?'. Computed from the same comps as get_sold_comps, so it never contradicts that range. Returns an empty series when too few months clear the sample threshold. Requires sign-in or an API key. params: q*, category, country, state |
get_comp_coverage | How much sold-price data we hold per category for a market, and which categories can never be priced. Check this before building on the comps tools — it is the honest answer about what we cannot do. Works signed out. params: country |
get_api_usage | This key's usage for the current month: total calls and the separate valuation allowance (which comps, sold history, trend and flip-score draw down), plus the reset date. Call it to pace a long run instead of hitting a 429 mid-task. Every other signed-in tool result already carries the same numbers in `_meta.usage`, so this is rarely needed. Free: it does not count against either allowance. Requir params: none |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.