Compare Latin American markets for expansion and calculate market-entry test economics.
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Calculate contribution per sale and sales required to recover an entry-test budget, plus observed customer acquisition cost when both spend and new paying customers are supplied. All monetary inputs must use the same currency. This is arithmetic for a business experiment, not a revenue forecast or investment recommendation.
Single currency code for every monetary input; no exchange conversion is performed.
Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.
Run in a terminal
claude mcp add --transport http latam-fit https://tools.realmarketlabs.com/mcp/latam-fit
Calculate contribution per sale and sales required to recover an entry-test budget, plus observed customer acquisition cost when both spend and new paying customers are supplied. All monetary inputs must use the same currency. This is arithmetic for a business experiment, not a revenue forecast or investment recommendation.
| Argument | Type | Description |
|---|---|---|
| currency* | string | Single currency code for every monetary input; no exchange conversion is performed. |
| test_budget* | number | |
| observed_spend | number | |
| revenue_per_sale* | number | |
| observed_customers | integer | |
| variable_cost_per_sale* | number |
{
"type": "object",
"required": [
"currency",
"revenue_per_sale",
"variable_cost_per_sale",
"test_budget"
],
"properties": {
"currency": {
"type": "string",
"pattern": "^[A-Z]{3}$",
"description": "Single currency code for every monetary input; no exchange conversion is performed."
},
"test_budget": {
"type": "number",
"maximum": 1000000000,
"minimum": 0
},
"observed_spend": {
"type": "number",
"maximum": 1000000000,
"minimum": 0
},
"revenue_per_sale": {
"type": "number",
"maximum": 1000000000,
"minimum": 0
},
"observed_customers": {
"type": "integer",
"maximum": 1000000000,
"minimum": 0
},
"variable_cost_per_sale": {
"type": "number",
"maximum": 1000000000,
"minimum": 0
}
},
"dependentRequired": {
"observed_spend": [
"observed_customers"
],
"observed_customers": [
"observed_spend"
]
},
"additionalProperties": false
}Compare one to three Latin American countries using supplied operational statuses. Identify blockers, adaptations and missing evidence across seven dimensions. Missing dimensions remain unknown; results do not rank demand or verify the classifications. No personal data required.
| Argument | Type | Description |
|---|---|---|
| markets* | array |
{
"type": "object",
"required": [
"markets"
],
"properties": {
"markets": {
"type": "array",
"items": {
"type": "object",
"required": [
"country",
"dimensions"
],
"properties": {
"country": {
"enum": [
"BR",
"MX",
"AR",
"CO",
"CL",
"PE",
"UY",
"PY",
"EC",
"BO",
"CR",
"PA",
"DO",
"GT",
"SV",
"HN",
"NI",
"CU",
"HT",
"VE"
],
"type": "string"
},
"dimensions": {
"type": "object",
"properties": {
"buyer": {
"enum": [
"ready",
"needs_adaptation",
"blocked",
"unknown"
],
"type": "string"
},
"offer": {
"enum": [
"ready",
"needs_adaptation",
"blocked",
"unknown"
],
"type": "string"
},
"channel": {
"enum": [
"ready",
"needs_adaptation",
"blocked",
"unknown"
],
"type": "string"
},
"delivery": {
"enum": [
"ready",
"needs_adaptation",
"blocked",
"unknown"
],
"type": "string"
},
"language": {
"enum": [
"ready",
"needs_adaptation",
"blocked",
"unknown"
],
"type": "string"
},
"payments": {
"enum": [
"ready",
"needs_adaptation",
"blocked",
"unknown"
],
"type": "string"
},
"local_requirements": {
"enum": [
"ready",
"needs_adaptation",
"blocked",
"unknown"
],
"type": "string"
}
},
"description": "Statuses supported by research or user facts. Omitted dimensions are unknown. Never infer ready from missing evidence.",
"additionalProperties": false
}
},
"additionalProperties": false
},
"maxItems": 3,
"minItems": 1
}
},
"additionalProperties": false
}We read every tool's name, description and inputs the way the model will, looking for instructions hidden from you. A clean result means no warning signs, not a guarantee. Scanned Nov 4, 2026.