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Cashytics runway prediction API for portfolio monitoring teams: underwriting workflow fit

Cashytics runway prediction API for portfolio monitoring teams: underwriting workflow fit. Ship faster underwriting and dashboards with Cashytics — same enve…

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Sample envelope (POST any core endpoint)

Same JSON shape for all eight routes; swap /api/v1/<slug> to match your product surface.

{
  "account_id": "acct_demo_001",
  "transactions": [
    { "id": "t1", "posted_at": "2026-03-01T12:00:00.000Z", "amount_minor": 250000, "direction": "inflow", "category": "revenue" },
    { "id": "t2", "posted_at": "2026-03-05T15:30:00.000Z", "amount_minor": 48000, "direction": "outflow", "category": "payroll" }
  ],
  "balances": { "current_minor": 512000, "low_30d_minor": 210000, "high_30d_minor": 640000 }
}

Why teams standardize on Cashytics for this workflow

Cashytics runway prediction API for portfolio monitoring teams: underwriting workflow fit maps to how modern financial products are built: you need deterministic JSON, explainable narratives, and a contract that does not fork per feature team. Cashytics keeps scoring, forecasting, runway, burn, AR, distress, scenarios, and discount recovery behind one POST shape so your gateway, batch jobs, and dashboards share the same validation and observability.

For lending programs, the recurring pain is usually scenario analysis too slow for product. Cashytics is designed to give product and risk teams a shared signal layer — fast enough for interactive experiences, structured enough for model governance when your migration reviews tighten.

What you get in one POST (eight core endpoints)

Cashytics runway prediction API for portfolio monitoring teams: underwriting workflow fit still sits on the same substrate every cashflow surface needs: Cashytics turns raw bank transactions and balances into structured JSON — a 0–100 Cash Health Score, 30-day cash forecast, runway-to-zero, burn optimizer, AR aging accelerator, distress early warning, simulated scenarios, and early-payment discount leak detection — with one envelope for all eight core POST endpoints.

For lending teams weighing migration decisions, the recurring drag is scenario analysis too slow for product. Cashytics stays ephemeral and privacy-first (not a ledger of record for your payload) and targets sub-800ms responses so underwriting steps, treasury consoles, and in-app insights can stay synchronous.

Free tier includes 500 successful API calls per UTC month with no card. Builder is $29/mo for 5,000 calls; Production is $149/mo for 25,000 calls; Enterprise is custom for regulated programs and volume.

Ship to production with clear limits

If your roadmap is anchored in lending, start on the free tier to validate schema fit and latency against your own envelopes. When you graduate to Builder or Production, you get higher included monthly call volumes and metered overages so live traffic is not hard-stopped during spikes.

Developer onboarding is intentionally boring in a good way: read the schema, copy a sample envelope, POST to `/api/v1/<slug>`, and wire the structured block into your UI or risk engine while migration reviews tighten. When you need human-readable explanations, use the template-generated `narrative` alongside `structured`.

Where to go next

Use the live playground to see real responses without creating an account. When you are ready for production keys, sign in with a verified work email, create a workspace key, and point your integration at the same routes you already tested.

Browse the topic guides hub for more intent-specific pages that all share the same eight-endpoint contract — useful when you want parallel landing experiences without forking payloads.

FAQ

Does Cashytics store my customers’ bank data?
Cashytics processes requests in memory to return scoring and forecasting outputs. It is not designed as a ledger of record; treat retention and compliance according to your own agreements and privacy program.
How does this relate to lending integrations?
Use the same envelope across health, forecast, runway, scenarios, AR, burn, distress, and discount routes so underwriting, treasury, and product surfaces do not fork incompatible payloads.
How fast are responses?
Cashytics targets sub-800ms behavior for typical envelopes so you can use it behind interactive dashboards and synchronous underwriting steps where latency matters.
What is the fastest way to validate fit?
Open the playground, run your representative envelope against the endpoint that matches this page’s intent, then compare structured fields to what your internal models already consume.
Why is "Cashytics runway prediction API for portfolio monitoring teams: underwriting workflow fit" a fit for Cashytics specifically?
That phrase usually implies migration pressure inside lending workflows — exactly where a single envelope for health, forecast, runway, scenarios, AR, burn, distress, and discount endpoints keeps product and risk aligned instead of scenario analysis too slow for product.

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