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Csv Integrity

by Foundry CSV Pipeline Integrity in Documents & files

x402 APIPassing, checked 3 h ago

Automated data-pipeline integrity gate for ETL regression detection and breaking CSV/schema changes. Compares profiles, data-quality deltas, and data contracts, then returns an evidence-backed PASS/WARN/FAIL pipeline action.

POST
https://foundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev/v1/csv/integrity
Price
$0.05
per call in USDC
Uptime
100%
last 30 days
Response time
965 ms
1.1 s slowest 5%
Last check
Passed
3 h ago, next any minute now

Run a free test callHow to call it

Reliability

All checks passedSome failedAll failedNot checked

Status and outage history · Atom feed

How to call it

POST https://foundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev/v1/csv/integrity

Each call costs $0.05 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

POST https://foundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev/v1/csv/integrity
content-type: application/json

{
  "baselineCsv": "id,name,amount\n1,Ada,10\n2,Lin,20\n",
  "currentCsv": "id,name,amount\n1,Ada,10\n2,Lin,unknown\n",
  "schema": {
    "allowAdditionalColumns": false,
    "columns": [
      {
        "name": "id",
        "nullable": false,
        "required": true,
        "type": "integer"
      },
      {
        "name": "name",
        "nullable": false,
        "required": true,
        "type": "string"
      },
      {
        "name": "amount",
        "nullable": false,
        "required": true,
        "type": "number"
      }
    ],
    "requireOrder": true
  }
}

Parameters

ParameterTypeRequiredDescription
baselineCsvstringYesPrior known-good CSV including its header row.
currentCsvstringYesCurrent CSV to evaluate against the baseline.
schemaobjectNo

Example response

The provider's example. We can't check it without paying.

Example response, 218 lines
{
  "analysisCompleteness": "FULL",
  "baselineProfile": {
    "blankRowCount": 0,
    "columnCount": 3,
    "columns": [
      {
        "inferredType": "integer",
        "missingCount": 0,
        "missingRate": 0,
        "name": "id",
        "position": 0,
        "sampleValues": [
          "1",
          "2"
        ],
        "uniqueCount": 2
      },
      {
        "inferredType": "string",
        "missingCount": 0,
        "missingRate": 0,
        "name": "name",
        "position": 1,
        "sampleValues": [
          "Ada",
          "Lin"
        ],
        "uniqueCount": 2
      },
      {
        "inferredType": "integer",
        "missingCount": 0,
        "missingRate": 0,
        "name": "amount",
        "position": 2,
        "sampleValues": [
          "10",
          "20"
        ],
        "uniqueCount": 2
      }
    ],
    "duplicateRowCount": 0,
    "duplicateRowRate": 0,
    "headers": [
      "id",
      "name",
      "amount"
    ],
    "malformedRowCount": 0,
    "malformedRowRate": 0,
    "rowCount": 2
  },
  "breakingChanges": [
    {
      "action": "BLOCK_PIPELINE",
      "category": "TYPE",
      "code": "INFERRED_TYPE_CHANGE",
      "column": "amount",
      "evidence": {
        "baselineType": "integer",
        "currentType": "string"
      },
      "message": "Column amount changed inferred type from integer to string.",
      "severity": "HIGH"
    },
    {
      "action": "BLOCK_PIPELINE",
      "category": "SCHEMA",
      "code": "SCHEMA_CURRENT_TYPE_MISMATCH",
      "column": "amount",
      "evidence": {
        "expectedType": "number",
        "observedType": "string"
      },
      "message": "current column amount does not conform to type number.",
      "severity": "HIGH"
    }
  ],
  "comparison": {
    "addedColumns": [],
    "columnDelta": 0,
    "duplicateRateChange": {
      "baseline": 0,
      "current": 0,
      "delta": 0
    },
    "inferredTypeChanges": [
      {
        "baseline": "integer",
        "column": "amount",
        "current": "string"
      }
    ],
    "malformedRowRateChange": {
      "baseline": 0,
      "current": 0,
      "delta": 0
    },
    "missingRateChanges": [
      {
        "baseline": 0,
        "column": "id",
        "current": 0,
        "delta": 0
      },
      {
        "baseline": 0,
        "column": "name",
        "current": 0,
        "delta": 0
      },
      {
        "baseline": 0,
        "column": "amount",
        "current": 0,
        "delta": 0
      }
    ],
    "removedColumns": [],
    "reorderedColumns": [],
    "rowDelta": 0
  },
  "currentProfile": {
    "blankRowCount": 0,
    "columnCount": 3,
    "columns": [
      {
        "inferredType": "integer",
        "missingCount": 0,
        "missingRate": 0,
        "name": "id",
        "position": 0,
        "sampleValues": [
          "1",
          "2"
        ],
        "uniqueCount": 2
      },
      {
        "inferredType": "string",
        "missingCount": 0,
        "missingRate": 0,
        "name": "name",
        "position": 1,
        "sampleValues": [
          "Ada",
          "Lin"
        ],
        "uniqueCount": 2
      },
      {
        "inferredType": "string",
        "missingCount": 0,
        "missingRate": 0,
        "name": "amount",
        "position": 2,
        "sampleValues": [
          "10",
          "unknown"
        ],
        "uniqueCount": 2
      }
    ],
    "duplicateRowCount": 0,
    "duplicateRowRate": 0,
    "headers": [
      "id",
      "name",
      "amount"
    ],
    "malformedRowCount": 0,
    "malformedRowRate": 0,
    "rowCount": 2
  },
  "findings": [
    {
      "action": "BLOCK_PIPELINE",
      "category": "TYPE",
      "code": "INFERRED_TYPE_CHANGE",
      "column": "amount",
      "evidence": {
        "baselineType": "integer",
        "currentType": "string"
      },
      "message": "Column amount changed inferred type from integer to string.",
      "severity": "HIGH"
    },
    {
      "action": "BLOCK_PIPELINE",
      "category": "SCHEMA",
      "code": "SCHEMA_CURRENT_TYPE_MISMATCH",
      "column": "amount",
      "evidence": {
        "expectedType": "number",
        "observedType": "string"
      },
      "message": "current column amount does not conform to type number.",
      "severity": "HIGH"
    }
  ],
  "overallResult": "FAIL",
  "processingLatencyMs": 0,
  "reasons": [
    "INFERRED_TYPE_CHANGE",
    "SCHEMA_CURRENT_TYPE_MISMATCH"
  ],
  "recommendation": "BLOCK_PIPELINE",
  "schemaConformance": {
    "baseline": "PASS",
    "current": "FAIL",
    "supplied": true,
    "violations": 1
  },
  "service": "csv_pipeline_integrity",
  "version": "csv-integrity-v1.0.0"
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.05.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://foundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev/v1/csv/integrity' \
  -H 'content-type: application/json' \
  --data-raw '{"baselineCsv":"id,name,amount\n1,Ada,10\n2,Lin,20\n","currentCsv":"id,name,amount\n1,Ada,10\n2,Lin,unknown\n","schema":{"allowAdditionalColumns":false,"columns":[{"name":"id","nullable":false,"required":true,"type":"integer"},{"name":"name","nullable":false,"required":true,"type":"string"},{"name":"amount","nullable":false,"required":true,"type":"number"}],"requireOrder":true}}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://foundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev/v1/csv/integrity' \
  -H 'content-type: application/json' \
  --data-raw '{"baselineCsv":"id,name,amount\n1,Ada,10\n2,Lin,20\n","currentCsv":"id,name,amount\n1,Ada,10\n2,Lin,unknown\n","schema":{"allowAdditionalColumns":false,"columns":[{"name":"id","nullable":false,"required":true,"type":"integer"},{"name":"name","nullable":false,"required":true,"type":"string"},{"name":"amount","nullable":false,"required":true,"type":"number"}],"requireOrder":true}}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.05 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.05" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.05 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Ffoundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev%2Fv1%2Fcsv%2Fintegrity&method=POST
const res = await pay("https://foundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev/v1/csv/integrity", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "baselineCsv": "id,name,amount\n1,Ada,10\n2,Lin,20\n",
    "currentCsv": "id,name,amount\n1,Ada,10\n2,Lin,unknown\n",
    "schema": {
      "allowAdditionalColumns": false,
      "columns": [
        {
          "name": "id",
          "nullable": false,
          "required": true,
          "type": "integer"
        },
        {
          "name": "name",
          "nullable": false,
          "required": true,
          "type": "string"
        },
        {
          "name": "amount",
          "nullable": false,
          "required": true,
          "type": "number"
        }
      ],
      "requireOrder": true
    }
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.05 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.05"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://foundry-csv-pipeline-integrity-mainnet.inference-chip-index.workers.dev/v1/csv/integrity",
        json={
            "baselineCsv": "id,name,amount\n1,Ada,10\n2,Lin,20\n",
            "currentCsv": "id,name,amount\n1,Ada,10\n2,Lin,unknown\n",
            "schema": {
                "allowAdditionalColumns": False,
                "columns": [
                    {
                        "name": "id",
                        "nullable": False,
                        "required": True,
                        "type": "integer",
                    },
                    {
                        "name": "name",
                        "nullable": False,
                        "required": True,
                        "type": "string",
                    },
                    {
                        "name": "amount",
                        "nullable": False,
                        "required": True,
                        "type": "number",
                    },
                ],
                "requireOrder": True,
            },
        },
    )
    print(res.status_code, res.text)

Security scan

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Recent checks

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