server.json
1 field changed
- version
-
1.9.11.9.3
io.github.truepointmarketingpartners-dotcom/prospect-intelligence
4 changes recorded. MCP Harbor re-reads this listing from the official registry every six hours and asks the live server what it exposes, and keeps what changed between one look and the next.
https://prospect-intelligence.prospectintel.workers.dev/llms.txt
+ Body: {"company":"Stripe","domain":"stripe.com"}. Domain is strongly recommended: it is used to pick the right company (official website must match).+ ### Basic (POST /v1/basic, $0.10) - 1.9.3+ Keeps every 1.9.0 field (company.name, domain, summary, summary_source, summary_source_url, wikipedia, public_page) and adds company.firmographics:+ official_name, website_domain, industry, hq_city, hq_country (ISO-2), founded_year, employee_count (+as_of), size_range (1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+), ticker (+exchange, sec_cik for US filers), linkedin_url, x_url.+ Each field: { value, source, source_url, checked_at, confidence: high|medium|low, note? }. Sources: wikidata, wikipedia_infobox, company_website, company_website_schema_org, sec_edgar, caller_input.+ value is null when no source states it; we never guess. When sources disagree the field is marked low confidence with the alternative listed.+ company.entity: the Wikidata item used and how it was matched (exact = its official website equals your domain).+ ### Enriched (POST /v1/enriched, $0.75) - 1.9.3+ Everything in Basic, plus:+ - buying_signals: news from the last 90 days (Google News) classified as funding, acquisition, hiring_expansion, layoffs_cost_cutting, leadership_change, product_launch, partnership, earnings_financials, legal_regulatory or news_mention, plus recent SEC filings (8-K, 10-Q, 10-K) for US filers. Each with headline/form, date and source_url.+ - hiring: open roles and top departments from the company's public Greenhouse, Lever or Ashby board (only boards linked from the company site, or a Greenhouse board whose name and text match the company).+ - icp_fit: 0-100 score, verdict (strong_fit, moderate_fit, weak_fit, insufficient_data) and per-factor reasons with source_url. Optional input "icp": {"size_ranges":["51-200"],"industries":["fintech"],"countries":["US"]}.+ - sales_brief: short points built only from the cited facts above.+ - recommended_actions: next steps, each with the fact that triggered it.+ - key_contact_roles / decision_makers.suggested_roles: roles to target with name null. We never invent people.+ Limits: news matching is headline-based and can miss or (rarely) misattribute items for companies with common-word names; small private companies often have no Wikidata record, so more fields are null.
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