SalesMap
Checked buying signals and ranked lead lists for your agent. Never contacts anyone.
| Endpoint | https://api.salesmap.site/mcp (streamable-http) |
|---|---|
| Registry version | 0.2.0 |
| Now | 8 tools · grade D (54) · pin ts_b78e6edbf57241769a1d7b23eeb47ad4 · protocol 2025-06-18 |
| First / last listed | 2026-11-04 02:44 UTC / 2026-11-04 02:44 UTC |
| Grade over time | 2026-11-04: D (54), 8 tools |
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Tools: discover seller_profile voice_scan feedback whoami set_limits quote job
discover | Price: The list is free; research is 1 credit per account that qualifies (a sourced in-band size, a supported fit and a checked dated signal or warm path, not returned before); a miss uses none. Never more than max_credits.
From a seller's website to a ranked list of companies to sell to, the strongest buying signals first, each with its reason and how to reach it: drafts the seller's ICP from its params: seller, icp, companies, days, connections, previousConnections, champions, evaluators, connectors, priorContacts, vendors, customers, openDeals, doNotContact, contacted, context, includeShown, hard, evidence, research, fresh, max_credits, confirm_token |
seller_profile | Price: free.
Saves and reads the user's facts about their own company, kept in the user's SalesMap workspace (one entry per seller site, seen by that workspace only): who they are, company, product, ICP, buyer roles, customers, competitors, deals won and lost, regions, exclusions, do-not-contact. discover starts from it. Returns the saved profile, the key fields still missing (ICP, buyer roles) an params: seller*, context |
voice_scan | Free. Checks an outreach draft the user or their agent wrote (a connection note, direct note, InMail or email) for AI-writing tells and the channel's limits, in code with no model: `fails` (antithesis like "it's not just X, it's Y", hype words, servile or empty closers, leaked placeholders like [First Name], raw markdown, the 300-character invite note, 1,900-character InMail and 200-character subj params: format*, body*, subject |
feedback | Free. Records the user's verdict on a company in their ranked list: good_fit, not_fit or already_talking, with an optional reason from a fixed list (competitor, existing_customer, too_small, too_big, wrong_industry, no_need, bad_timing, other). A not_fit company is left out of every later discover for this workspace; the user's own named list still runs it. The latest verdict per company wins. No params: domain*, verdict*, reason |
whoami | Free. Who the user is on SalesMap and what they can do: their name and email, the workspace and their role in it, how they signed in, the credit balance (one credit is one researched account), the monthly credit limit (rolling 30 days; null = no limit) with what's used, held by a running search and left, the credits above which a paid call asks first, the seller profiles saved and the LinkedIn con params: none |
set_limits | Free. Sets the user's own monthly credit limit for SalesMap (rolling 30 days); null removes it. Until set: 100 credits once the workspace has bought a pack, else 40. There is no daily or weekly limit. No call ever uses more than the limit or the balance. Also the ask-first threshold: a paid call quoted over that many credits asks the user first (default 0: every call asks; null never asks). Also ` params: monthlyCredits, confirmCredits, weeklyDiscover |
quote | Free. How many credits a call to a SalesMap tool can use, before running it, against what the workspace can spend now (balance and limit). Not a charge: the most the call can use, which it reserves (or its max_credits); it uses 1 credit per account that qualifies, never more. When `fits` is false, `shortfallCredits` says how many more are needed and `topUp` is the link.
Use when: "how much will th params: tool*, input |
job | Free. The status (queued, running, done or failed) and, once done, the result of a background job: a discover call or a long discover round.
While a discover runs, `partial` is its ranked list so far: `tier` says how far it got (listed: every candidate ranked on the facts already in hand; screened: the top ones passed the fit screen; researched: the top ones' signals checked) and `progress` the co params: id* |
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.