Skeletable

Find tables in the library. Each result gives its slug, the question it answers, its size and when it was last read.

Read a table: its scope, its columns with the rule for each, a summary of what each column holds, and its rows. A null value is blank. `origins` says where a row's unquoted values came from, `ai` says how far each AI column has got, and `versions` lists saved versions. For a big table, read the summaries first and page through rows with `offset` and `limit`.

The evidence for one value: the source, the exact quote, what kind of source it is and when it was read. For a missing value, where we looked, and `absent` means the source was read and gives no such value. `url` is the cell's lasting address, showing its proof, for citing. `confirmed` says how a second reader backed it up, and without it the value has been read once. `conflicts` lists sources that state something else, `history` lists past values, and `watch` says whether the quote was still on its page at the last check.

Test a statement against one cell, such as whether a value in a draft or an answer is right. The verdict is `matches`, `differs` (with what the source states), `disputed` (sources disagree, see `conflicts`) or `unknown` (no acceptable source stated it, so say so). It compares values and doesn't judge meaning, so read the quote before relying on a text verdict. Use list_tables and get_table to find the cell first.

A table as CSV, ready to save as a file or load into a notebook. The first column is each row's name unless `names` is false. `columns` picks columns by id, in that order. With `proof`, each column is followed by its source and quote, and in a table whose proof is optional, by where each value came from. An empty field means no value.

Suggest a new value for a cell, with its proof. The quote must be word for word from the source and state the value. The owner reviews it before anything changes. Needs a token sent as a Bearer token.

Make a private draft table, ready to fill, for anything from a tracker to a dataset. Its values say where they came from unless you set `proof` to `required`. Only `title`, `columns` and `rows` are needed now, but give `question`, `scope`, and a `rule` for each column if you can: a person has to supply them before publishing. Returns the column ids fill_cells needs, and the sheet's link, so tell your person to open it and watch it fill. Needs a token.

Add columns to a draft you run, such as a blank one a person started. Returns the new column ids for fill_cells. Needs a token.

Add up to 500 rows to a table you run. Each row is a name, or an object with its `values` by column id or label, so a whole tracker or dataset goes in a few calls. A row without a `key` gets the next free number. A name the table already has gets the values given for it, so syncing again from the same source is one call; with no values it's skipped. Say where the values came from with `origin` (`entered`, `imported` with a `note` naming the file or email, `link` with a `source`, or `generated`, which is the default without a source). Rows with values can go into a published table too; rows by name only into a draft. A table that requires proof takes rows by name only. Needs a token.

Set up to 200 cells of a table you run. Usually a cell gives `value` and `origin` (`entered`, `imported` with a `note` like the file or email it came from, `link` with its `source`, or `generated`). Left out, the origin is `link` when there's a `source` and `generated` when there isn't. These can go into a published table too, and never replace a quoted value. A date is written YYYY-MM-DD, and a column with choices takes only one of them. In a table that requires proof, a cell instead gives `value`, `source` and `quote`, word for word from the source; each page is opened before it's saved, so send at most 25 of these at once, and only into a draft. If no acceptable source states it, give `checked` with the pages you read, and `none_stated` only if you read the whole source and it has no such value. The reply counts what saved and lists only the cells that didn't, with a reason, and `unchecked` names quoted values whose page couldn't be read. Needs a token.

A private address that loads a table you run as CSV, for a notebook, a script or a spreadsheet, with the lines to do it. Add `?columns=a,b` to pick columns and `?names=0` to leave out row names. Anyone with the link can read the data, and `fresh` makes a new one so the old one stops working. Needs a token.

Freeze a table you run as it stands now, as a numbered version with a lasting link that never changes. Do this before training on a dataset or citing a table, and name the version you used. Needs a token.

Copy a table into your own account as a private draft, to extend or relabel: any published public table, or one you run. Every value keeps its proof or origin, and the copy remembers where it came from. Needs a token.

Make a column an AI column, change its instruction, or turn it back into a plain column with an empty one. The instruction says what to work out for each row and names other columns in braces, like "Classify {Pitch} by genre". Its values never overwrite what a person typed, linked or quoted. Needs proof to be optional and a token.

The next prompts to answer for a table's AI columns, up to 200 at a time: blank cells first, then answers whose row or instruction has changed. Answer each prompt yourself, then send the answers back with fill_ai_cells, each with its `row` and `basis`. Repeat until it says `done`. `redo` also re-answers generated values that came from outside the instruction. Needs a token.

Save up to 200 answers to an AI column, each with the `row` and `basis` next_ai_cells gave it. An answer outside the column's choices, or to a prompt that has since changed, comes back with a reason. Each value is saved as generated, with the instruction and `model`. Needs a token.