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Use Case
Data processing agents need to clean, transform, validate, and encode data across formats. Jarvis SDK provides 79+ builtin modules with pure-logic execution — no external API calls, sub-millisecond latency, 100% uptime.
sha256, md5, hmac, bcrypt
Hash sensitive data, verify file integrity, generate checksums
base64_encode, hex_encode, url_encode
Encode/decode data between formats for API transit
parse, validate, diff, flatten
Transform JSON payloads between API formats
parse, stringify, transform
Convert between CSV and structured data
email, url, uuid, phone
Validate data fields before processing
statistics, evaluate, convert_units
Calculate aggregates and convert between units
Receive raw data from webhooks, APIs, or file uploads
Run validation-toolkit checks on every field
Use json-toolkit and csv-toolkit to reshape data
Hash sensitive fields, encode for transit, compute statistics
Emit clean, validated, transformed data to downstream systems
// Batch process: validate, hash, and encode in parallel
const result = await fetch("https://jarvissdk.com/api/v1/batch", {
method: "POST",
headers: { "x-api-key": process.env.JARVIS_API_KEY, "Content-Type": "application/json" },
body: JSON.stringify({
operations: [
{ module: "validation-toolkit", action: "email", params: { input: data.email } },
{ module: "hash-toolkit", action: "sha256", params: { input: data.ssn } },
{ module: "encoding-toolkit", action: "base64_encode", params: { input: data.payload } }
]
})
});79+ builtin modules execute in-process — no network latency, no rate limits
Batch API processes up to 50 operations in parallel in a single request
Chain API pipes tool outputs together for multi-step transformations
All builtin modules are deterministic and side-effect free — perfect for data pipelines
Trust scoring and certification ensure module reliability at scale
Builtin modules execute in-process with sub-millisecond latency. There are no external API calls — it's pure TypeScript running server-side.
Yes — the /api/v1/batch endpoint accepts up to 50 parallel operations. For sequential pipelines, use /api/v1/chain to pipe outputs between tools.
All builtin modules are pure functions — same input always produces the same output. No randomness, no side effects. Ideal for data pipelines.
Request body limit is 1MB per call. For larger datasets, split into batches and use the batch API. Each operation runs in parallel.
700+ modules. 5 discovery protocols. Free to start.