AgentXM

Costable — Parametric Should-Cost Analysis

mcp remote · streamable-http · v1.0.0 · source: crawl

https://costable.ai/api/mcp

Parametric should-cost: P50/P80/P90 estimates, 801 materials, 25 countries, quote review.

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Works

90

Verified Oct 31, 2026 · p50 1999 ms · p95 3182 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'costable'
tools_listed15pass10 tools
schema_complete15pass10 of 10 tools have a description and a typed schema
latency_p5010failp50 1999 ms
latency_p955passp95 3182 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (10)

NameDescriptionSchema
search_materialsSearch the Costable materials database (37 materials with LME-sourced pricing). Returns material name, category, price per kg, density, and strength properties.typed
estimate_partInstantly estimate the should-cost of a manufactured part using natural language. Returns P50 (median), P80 and P90 cost-at-risk per unit based on Monte Carlo simulation of material price variance, latyped
search_processesSearch the Costable manufacturing process database (41 processes). Returns process name, category, machine rate ($/hr), and cycle time model.typed
get_labour_ratesGet manufacturing labour rates ($/hr) for all skill levels in a given country. Data covers 16 skill levels across 25 countries (ILO/BLS/ABS sourced).typed
create_cost_modelCreate a new parametric cost model in Costable. Returns the model ID which is used by add_material_to_model, add_process_to_model, calculate_cost_model, and compare_manufacturing_countries.typed
add_material_to_modelAdd a material (BOM line) to an existing cost model. Searches the materials database by name query — no need for exact IDs.typed
add_process_to_modelAdd a manufacturing process step to an existing cost model. Searches the process database by name query — no need for exact IDs.typed
calculate_cost_modelRun the Monte Carlo should-cost calculation on a cost model. Returns P50 (median), P80 and P90 cost-at-risk per unit, plus a full cost breakdown (material, labour, machine, overhead, margin).typed
compare_manufacturing_countriesRun the cost model across multiple manufacturing countries simultaneously to identify the optimal sourcing location. Returns P50/P80/P90 per country and % delta vs baseline.typed
review_supplier_quoteAnalyse a supplier quote against Costable's should-cost benchmarks. Returns a line-by-line delta (% over/under should-cost), verdict (LOW / COMPETITIVE / HIGH / VERY HIGH), and a list of the top itemstyped

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