Fragment
Fragment is a ledger API for engineering teams. It provides a real-time, double-entry ledger to track money movement, model balances, and reconcile against external systems (banks, processors, PSPs). The product is GraphQL-first - developers define a Schema (chart of accounts and entry types), create Ledgers, post immutable Ledger Entries composed of balanced debit/credit lines, and read balances and lines back through a single GraphQL endpoint. Every write mutation is idempotent.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Fragment the way a machine reads it — 12 machine-readable artifacts across 6 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Fragment scores 26.7/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Fragment
Each block below is one kind of artifact we hold for Fragment. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 6
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Fragment Ledger GraphQL API
Single GraphQL endpoint for defining a ledger Schema, creating Ledgers, posting balanced double-entry Ledger Entries, and reading balances and lines. All write mutations are ide...
Fragment Schema API
Define and version the ledger Schema - the chart of accounts, account types (asset, liability, income, expense), currency modes, and the ledger entry types your product posts. S...
Fragment Ledgers API
Create and query Ledgers from a stored Schema. A Ledger is an isolated database for tracking money for a use case, tenant, or environment, created with createLedger and read wit...
Fragment Ledger Entries API
Post immutable, balanced double-entry Ledger Entries made of debit and credit lines against accounts. Uses addLedgerEntry with an idempotency key (ik), reverseLedgerEntry to cor...
Fragment Balances API
Read real-time balances and the underlying lines. Query overall ledger balances (getLedgerBalances), per-account balances (getLedgerAccountBalances), and the debit/credit lines ...
Fragment Reconciliation API
Match ledger activity against external money movement. reconcileTx reconciles a transaction idempotently by transaction ID, while syncCustomAccounts and syncCustomTxs ingest ext...
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Fragment Ledger GraphQL API
OPEN COLLECTIONGraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
Fragment Ledger GraphQL API
Fragment (fragment.dev) is a ledger API for engineering teams. It provides a
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Fragment Dev Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Fragment Dev Finops
FINOPSSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Fragment — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Access & Security 1
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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