Structure to your schema

Any messy input, text, HTML, an email, plus YOUR JSON schema → output shaped to it, validated against your required fields and property types, with an automatic corrective retry and a `valid` flag.

POST/v1/structure$0.06/call, 6 credits, charged only on success120 calls a minute per key

The example in the published schema

charged 0 credits

auth (bearer key)
per-key throttle
validate body
balance precheck
run the capability
charge credits ON SUCCESS ONLY
JSON

A successful call costs 6 credits, $0.06/call. A failed call costs nothing.

The request body/v1/structure

{
  "input": "Hey — new order from Dana Reyes, dana@brightco.io. 3 large planters, ship to 44 Vine St Portland OR by the 20th.",
  "schema": {
    "type": "object",
    "required": [
      "customer",
      "items"
    ],
    "properties": {
      "customer": {
        "type": "object"
      },
      "items": {
        "type": "array"
      },
      "shipTo": {
        "type": "string"
      },
      "deadline": {
        "type": "string"
      }
    }
  }
}

The responsepublished example

// sending the call
// 0 credits charged so far

curl https://api.thecompound.tech/v1/structure \
  -H "Authorization: Bearer $COMPOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input":"Hey — new order from Dana Reyes, dana@brightco.io. 3 large planters, ship to 44 Vine St Portland OR by the 20th.","schema":{"type":"object","required":["customer","items"],"properties":{"customer":{"type":"object"},"items":{"type":"array"},"shipTo":{"type":"string"},"deadline":{"type":"string"}}}}'

Scored

8 of 8 field checks passed when the eval suite last ran against production, on 2026-07-08. Every endpoint's score

The Extract & structure guide has this endpoint with its example response. The reference has every parameter.

More from Extract & structure

Field extraction $0.04/callPull a field set you define out of any block of text. You name the fields; you get typed values with confidence.Classification $0.02/callRoute or tag text against your own taxonomy, a label, a confidence, and a one-line rationale.Record normalization $0.05/batchA batch of messy records → clean canonical rows, with a change log of every fix (casing, formats, dedup-ready values).Entity matching $0.08/runTwo record sets → which rows are the same real-world thing, with confidence and reasoning. Fuzzy names, typos, aliases handled.Batch categorization $0.03/batchUp to a hundred items against your taxonomy in one call, products, transactions, tickets, each with a confidence.

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