Credit score bands for a score you have

Share a credit score you already have. If your report shows a name such as [FICO], include it; otherwise, share the score and ask the AI assistant to explain the result. Check any range or estimate the Tool returns.

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For tasks with several steps, continue in the AI you already use.

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Use Toolmu’s credit-score-band-strale-x402-credit-score-band for the score the user shares. The user only needs to share a score they already have; do not require them to know or choose a score type. If they know the type shown on their report, include it; if not, do not ask them to guess. Follow only the behavior the Tool actually documents, and state the type identified in the result; if it is not identified, say unknown. Keep the original score, any returned range or estimate and its stated type together. Explain that estimates are not promises. Do not claim official equivalence between score types or predict lending decisions. Check current availability, price and authorized budget before use, and inspect the actual response.

Task:
Explain what a credit score of [700] means. If your report shows a name such as [FICO], include it; otherwise, just share the score. Explain any range or estimate returned. Do not predict loan approval.

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Connection guide

Up to 0.028512 credits / call

The final charge is based on confirmed usage. Unused reserved credits return to your available balance.

Strale

Credit score bands for a score you have

You receive

Review the band label actually returned for your supplied score, together with any percentile estimate or explanation provided. Your Agent can keep those details beside the original score and requested scoring system so the interpretation remains tied to its context.

Start with your task

Explain what a credit score of [700] means. If your report shows a name such as [FICO], include it; otherwise, just share the score. Explain any range or estimate returned. Do not predict loan approval.

What to know

Returned labels and estimates do not establish an official equivalence between scoring models or predict lending approval. Check any stated model, version and estimation basis; missing context should remain unknown.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
queryParams`queryParams`	`object`	Required	Required fields `score`
Known credit score`queryParams.score`	`number`	Required	The credit score value you want to interpret. Preserve the supplied value; no score range or integer restriction is specified.
Scoring system`queryParams.system`	`string`	Optional	Optional scoring-system name. The input description lists fico, vantagescore, experian and equifax and describes fico as the default. Specify the known system when possible and inspect how the response identifies it.

View raw JSON

{
  "type": "object",
  "required": [
    "queryParams"
  ],
  "properties": {
    "queryParams": {
      "type": "object",
      "required": [
        "score"
      ],
      "properties": {
        "score": {
          "type": "number",
          "description": "Credit score value"
        },
        "system": {
          "type": "string",
          "description": "Scoring system: fico, vantagescore, experian, equifax (default: fico)"
        }
      }
    }
  },
  "additionalProperties": false
}

Result schema

Output fields have not been documented yet.

Additional notes

Strale’s capability description describes credit-score interpretation using band labels and percentile estimates. Review the actual response to see what interpretation is provided for your supplied score and scoring system.

Keep the original score, requested system and any stated model or estimation basis together. A percentile figure, if supplied, remains an estimate. Do not use an unexplained label as proof that scores from different models are equivalent or that a lender will approve an application.

Credit score bands for a score you have

Credit score bands for a score you have

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Get your AI assistant ready

Share a score you already have

Read the explanation