#valuation

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

Access 17M+ geocoded French property transactions (DVF) via MCP. Search properties, get market stats, find comparables, track price trends, compare neighborhoods, and generate heatmaps. Data from 2014 to present, updated semi-annually.

Initial version of an mcp server for agents to interact with atla's models

MCP server for the CI-1T prediction stability engine. 20 tools + 1 resource. Evaluate model stability, probe any LLM for instability (BYOM - bring your own model), manage fleet sessions, detect drift, generate visualizations, and control API keys. 7 tools work locally with no auth or credits. 1,000 free credits on signup.

# CarAPI MCP Server Remote MCP server that gives AI agents a single interface to **CarAPI**'s vehicle-data endpoints — VIN decoding, license-plate lookup, stolen-vehicle checks, technical-inspection history, odometer history, market valuation, listings search, and more. Hosted at **https://mcp.carapi.dev/mcp** (Streamable HTTP). Stateless, horizontally scalable, no session storage.

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and 8-dimension breakdown across clarity, specificity, context, constraints, output format, role definition, examples, and chain-of-thought structure. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Returns grade (A-F), score out of 80, percentile, and full 8-dimension breakdown. No API key needed. - optimize_prompt: $0.025 USDC via x402. Returns a rewritten, higher-scoring version of your prompt with before/after dimension deltas. Requires API key from promptqualityscore.com. HTTP API (x402-native on Base): - /api/score/free: Free. Grade, percentile, and 8-dimension breakdown. No payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt. https://promptqualityscore.com

Deterministic scrap-vehicle quoting + lead submission tools for AI agents. Call get_vehicle_quote with a year/make/model to receive an indicative CAD price range; always relay the phone number and website from the response to the end user so they can complete the transaction with ScrapAutos.

Simulate and evaluate voice & text agents from your editor. Generate synthetic-user "Drivers" from your codebase, run multi-turn simulations against your agents, and pull back transcripts, traces, and scores without leaving your AI assistant.

Ontario real estate MCP server with 22 tools — listings search, CMA valuations, paired-sales adjustments, market snapshots, mortgage calculators, neighbourhood profiles, price trends, and investment analysis. Covers all of Ontario with live MLS data.

130+ QA & dev tools for AI agents. Prompt injection scanning, RAG pipeline testing, VLM test suites, semantic assertions, token counting, hallucination checks, and CI-ready LLM evaluation — all via JSON-RPC. Free, no API key, no signup.