Multi-cell array
API · /loadcell-api
Load Cell API
Load-cell (weighing-transducer) maths as an API, computed locally and deterministically. The output endpoint computes the bridge output voltage a strain-gauge load cell produces under a given load, Vout = (load/capacity)·sensitivity·excitation, where the full-scale output FSO = sensitivity(mV/V)·excitation(V) is reached at the rated capacity — it returns the output in millivolts, the equivalent mV/V at that load and the capacity utilization, and flags overload. The load endpoint inverts this to recover the applied load from a measured bridge output, load = (Vout/FSO)·capacity. The array endpoint sizes a multi-cell weighing platform: from the number of identical cells, the per-cell capacity and the live and dead (tare) load it returns the evenly distributed per-cell load, its output and utilization and the total system capacity, so cells can be chosen to stay under capacity in the worst case. Sensitivity is in mV/V, excitation in volts (default 10), output in millivolts; load and capacity share any consistent unit. Everything is computed locally and deterministically, so it is instant and private. Ideal for industrial-weighing, scale, force-measurement, silo and process-control app developers, load-cell sizing and calibration tools, and instrumentation education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is load-cell transducer output; for the underlying Wheatstone-bridge and strain maths use a Wheatstone-bridge API.
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 88 ms
- Server probes · 24h
- Subscribers
- 4,972
- active
- Total calls
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- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 2,200 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 2,200 calls/month
- 2 req/sec
- Output + load + array
- No credit card
Starter
€10.00 /month
- 46,000 calls / month
- 6 requests / second
- Hard cap (429 above quota, no overage)
- 46,000 calls/month
- 6 req/sec
- Full-scale output, utilization, overload
- Email support
Pro
€24.00 /month
- 270,000 calls / month
- 15 requests / second
- Hard cap (429 above quota, no overage)
- 270,000 calls/month
- 15 req/sec
- Multi-cell platform & calibration pipelines
- Priority support
Mega
€74.00 /month
- 1,650,000 calls / month
- 40 requests / second
- Hard cap (429 above quota, no overage)
- 1,650,000 calls/month
- 40 req/sec
- Platform scale
- Dedicated SLA
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Related APIs
Other APIs with overlapping tags.
Thermocouple API
Type-K thermocouple temperature/voltage conversion as an API, computed locally and deterministically from the official NIST ITS-90 reference functions. The voltage endpoint converts a junction temperature in °C to the thermo-electromotive force in millivolts using the NIST type-K direct polynomial (with its Gaussian correction term above 0 °C), and performs cold-junction compensation by subtracting the reference-junction EMF, so a hot junction at 200 °C against a 25 °C terminal block gives the EMF your meter actually reads; a type-K junction produces 4.096 mV at 100 °C and 41.276 mV at 1000 °C against a 0 °C reference. The temperature endpoint does the inverse: it takes the measured EMF in millivolts and the reference-junction temperature, refers the reading back to 0 °C by adding the cold-junction EMF, and returns the hot-junction temperature in °C and K — obtained by numerically inverting the same monotonic forward polynomial, so it is exactly consistent with the forward conversion. Type K (chromel–alumel) covers −270 to 1372 °C. Everything is computed locally and deterministically, so it is instant and private. Ideal for industrial-automation, process-control, data-acquisition, IoT-sensor, furnace and lab-instrument app developers, sensor-linearization and cold-junction-compensation tools, and embedded firmware. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 2 endpoints. This is the type-K thermocouple; for resistance-temperature detectors use an RTD/PT100 API.
api.oanor.com/thermocouple-api
Wheatstone Bridge API
Wheatstone-bridge and strain-gauge maths as an API, computed locally and deterministically. The bridge endpoint takes the four arm resistances R1–R4 and an excitation voltage and returns the bridge output voltage between the two midpoints, Vout = Vin·(R2/(R1+R2) − R4/(R3+R4)), in volts and millivolts, the voltage at each midpoint, and whether the bridge is balanced (Vout = 0 when R1·R4 = R2·R3). The balance endpoint inverts it: give any three arms and it solves the fourth resistance that balances the bridge, the classic way a Wheatstone bridge measures an unknown resistance. The strain endpoint models a strain-gauge bridge — quarter, half or full — and converts in both directions between mechanical strain and electrical output: from a gauge factor and a strain (given directly, as microstrain or as a relative resistance change ΔR/R = GF·ε) it returns the output ratio and voltage Vout/Vin = (k/4)·GF·ε where k is the number of active arms, and from an output voltage and excitation it returns the strain and microstrain. Everything is computed locally and deterministically, so it is instant and private. Ideal for instrumentation and sensor tools, load-cell, pressure-sensor and RTD measurement design, strain-gauge and data-acquisition apps, and electronics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is bridge and strain-gauge measurement; for Ohm's law, voltage dividers and series/parallel resistor combinations use an Ohm's-law API.
api.oanor.com/wheatstone-api
Sewing & Fabric API
Sewing and fabric-estimating maths as an API, computed locally and deterministically — the yardage numbers a sewist, quilter or curtain-maker works a project out with. The yardage endpoint lays cut pieces onto a bolt: pieces per row = floor(fabric width ÷ piece width), rows = ceil(quantity ÷ per row), and the fabric length = rows × piece height plus a waste allowance — six 18×22-inch pieces from 44-inch quilting cotton need about 2 yards. The curtain endpoint sizes drapery for fullness: drops = ceil(window width × fullness ÷ fabric width), where 2× is a standard gather and 2.5–3× is luxe, and each drop is the finished length plus top and bottom hems (rounded up to the pattern repeat) — a 60-inch window at 2.5× fullness on 54-inch fabric takes three drops and about 8.3 yards. The binding endpoint sizes quilt binding: length = perimeter + overlap for corners and joins, strips = ceil(length ÷ fabric width) cut at the strip width. Everything is computed locally and deterministically, so it is instant and private. Ideal for sewing, quilting, home-decor, upholstery and craft app developers, fabric-calculator and project-planning tools, and sewing education. Pure local computation — no key, no third-party service, instant. Imperial inches in; yards and metres out. Live, nothing stored. 3 compute endpoints. Add pattern-repeat allowance for prints; a planning aid.
api.oanor.com/sewing-api
Bookbinding API
Bookbinding and print-production maths as an API, computed locally and deterministically — the spine-width and imposition numbers a book designer, printer or self-publisher needs to lay out a title. The spine endpoint computes the spine width from the page count and the paper's bulk: spine = page count ÷ pages-per-inch (the printer's paper spec, typically ~400–500 for book stock), or leaves × sheet caliper, plus the cover boards — so a 250-page book on 400-PPI stock has a 0.625-inch (15.9 mm) spine. The imposition endpoint works out the binding layout: for saddle-stitch it rounds the page count up to the next multiple of four (one folded sheet is four pages) and reports the blanks to pad and the sheets; for perfect-bound or section-sewn books it gathers the pages into signatures of 8, 16 or 32 and reports the signature count, the required page total and the blank pages. Everything is computed locally and deterministically, so it is instant and private. Ideal for self-publishing, print-on-demand, book-design, prepress and printing app developers, spine-and-cover and imposition tools, and graphic-design education. Pure local computation — no key, no third-party service, instant. Page count counts both sides; PPI is the paper spec. Live, nothing stored. 2 compute endpoints. For paper weight use a paper API and for DPI/resolution a resolution API.
api.oanor.com/bookbinding-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for Load Cell API?
What's the rate limit for Load Cell API?
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Pick an endpoint from the list on the left to see its details and try it.
Code snippets
Sign up to get an API key, then call any path under your slug.
curl https://api.oanor.com/loadcell-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/loadcell-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/loadcell-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/loadcell-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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