Clairic vs Nanonets API + MCP

Clairic

Clairic's price is public at $0.10 per million input tokens with no output charge, and its docs publish JSON Schemas, limitations and when to use a decision model instead. It is a preview that Cloudflare calls an early checkpoint, served under an unversioned ID with no SLA, and its promised open weights have no date or licence.

Nanonets API + MCP

Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema. No public changelog and no dated release in the last 90 days.

Clairic

1. Send model as clairic in the body as well as in the URL. The input schema requires model and fields
2. Set reference_date, or add a line giving today's date to the state, for any field that depends on the current date
3. Treat a null value as not found, and read p_null, confidence or the 80% interval before acting. Typed output is well formed, not necessarily correct
4. Extract the inputs and do multi-step sums and table totals in code. Cloudflare says long arithmetic chains aren't reliable yet
5. Embed images as data URLs or base64 objects, at most four, 4 MiB each and 8 MiB in all. Remote image URLs are refused
6. Read the internal code on a 429. 3036 means the day's 10,000 free neurons are spent, 3040 means capacity, so retry later

Nanonets API + MCP

1. Use the extraction API at extraction-api.nanonets.com, not app.nanonets.com, unless you already have a trained model
2. Pass a JSON schema in json_options when downstream code needs fixed field names
3. Use the async extract endpoints for long documents and poll /api/v1/extract/results/{record_id}
4. On a 429, wait 30 seconds and double the delay each retry
5. Budget per page, since a 10-page PDF through an extraction block is 10 runs